BEGIN:VCALENDAR VERSION:2.0 PRODID:-//SciLifeLab - ECPv6.17.4.1//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:SciLifeLab X-ORIGINAL-URL:https://www.scilifelab.se X-WR-CALDESC:Events for SciLifeLab REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Europe/Stockholm BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20240331T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20241027T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20250330T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20251026T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20260329T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20261025T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20270328T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20271031T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20280326T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20281029T010000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Europe/Stockholm:20251112T113000 DTEND;TZID=Europe/Stockholm:20251113T133000 DTSTAMP:20251112T164228Z CREATED:20250320T121329Z LAST-MODIFIED:20251112T164228Z UID:10001509-1762947000-1763040600@www.scilifelab.se SUMMARY:DDLS Annual Conference DESCRIPTION:We have reached full capacityWe are currently at full capacity with a waiting list. If you are no longer able to attend\, please cancel your registration as soon as possible. This will allow us to accommodate others on the waiting list and ensure a smooth experience for all attendees. The Program in Hall B will be live-broadcast to SciLifeLab YouTube Talks & Training channel. \n\n\n\n\n\n\n\n\nLive Stream\n\n\n\nLive Stream – November 13\n\n\n\n\n\nLive Stream – November 12\n\n\n\n\n\n\n\n\n\nThe Data-Driven Life Science (DDLS) program\, funded by the Knut and Alice Wallenberg Foundation (KAW)\, warmly welcomes you to the fourth DDLS Annual Conference\, taking place November 12–13\, 2025\, at Uppsala Konsert & Kongress (UKK). \n\n\n\nTarget Group: Anyone interested in data-driven life science is welcome to attend the Conference. You don´t need to be part of the SciLifeLab & Wallenberg National Program for Data-Driven Life Science\, even though the conference focuses on achievements and highlights program activities. \n\n\n\nThis two-day\, in-person event will highlight DDLS research and activities\, showcase new technologies and services available to researchers across Sweden\, and provide a forum for knowledge exchange and collaboration. Participants will have the opportunity to: \n\n\n\n\nShare and discuss research findings\n\n\n\nExplore ideas and insights across disciplines\n\n\n\nBuild networks for collaboration and career development\n\n\n\nGain perspectives beyond their own fields of expertise\n\n\n\n\nThe conference begins with a light lunch and registration on November 12 (11:30–12:30) and concludes with a networking lunch on November 13 (12:30–13:30). \n\n\n\nYouTube live-broadcast\n\n\n\nYouTube broadcast: The Program from Hall B will be live-broadcast on the YouTube SciLifeLab Talks & Training channel. Some speakers may share unpublished data that will be excluded from the live broadcast. You will find a YouTube embedded video player here on the event date. \n\n\n\nHosts & Moderators\n\n\n\nThe DDLS & SciLifeLab Director\, Jan Ellenberg\, will open the 2-day Conference. The DDLS Co-Directors\, Erik Kristansson (Chalmers) and Carolina Wählby (Uppsala University)\, will moderate and guide you through the Program. \n\n\n\nConfirmed speakers\n\n\n\nSpeaker Abstracts_DDLS Annual Conference 2025_v1Download\n\n\n\nInvited speakers\n\n\n\nAnna Kreshuk\, EMBL\nTitle: Deep Learning for MicroscopyAffiliation: EMBL\, HeidelbergBio: Anna Kreshuk is a group leader and a Senior Scientist in the Cell Biology and Biophysics Unit at the European Molecular Biology Laboratory (EMBL) in Heidelberg\, Germany. She received a PhD in Computer Science from Heidelberg University in 2012. Following this\, she worked as a PostDoc in the Heidelberg Collaboratory for Image Processing (HCI). She joined EMBL in July 2018\, where her research group develops novel computer vision methods for the analysis of microscopy images. Beyond method development\, she is also committed to the democratisation of machine learning for the life science community\, contributing open source tools such as ilastik and PlantSeg. She is an ELLIS scholar and a scientific co-coordinator of the Horizon Europe project AI4Life.Abstract: \n\n\n\n\nDaniel Tamarit\, Utrecht University\, the Netherlands\nTitle: The archaeal evolutionary origins of the eukaryotic cell \n\n\n\nAffiliation: Utrecht University\, the Netherlands \n\n\n\nBio: Daniel Tamarit is an Assistant professor at the Theoretical Biology and Bioinformatics (TBB) group\, specialized in comparative and evolutionary genomics. He obtained his PhD at Uppsala University by studying the evolution of host-associated bacteria\, and performed postdoctoral research at Wageningen University on major evolutionary transitions such as the origin of eukaryotes. Currently\, his team uses evolutionary genomics to investigate fundamental questions in archaeal and bacterial biology\, such as (i) what are the principles governing bacterial and archaeal genome architecture\, (ii) what can the genomes of novel microbial lineages tell us about basic evolutionary processes\, and (iii) what is the shape of the tree of life.  \n\n\n\nAbstract: The origin of eukaryotic cells was one of the most impactful transitions in evolution\, setting the basis for the emergence of multicellular organisms such as animals\, plants and fungi. Recent advances in genome-resolved metagenomics and phylogenomics have placed Asgard archaea at the heart of this transition\, revealing that eukaryotes originated from within this group. Expanded genomic sampling and robust evolutionary modeling identify a lineage of Heimdallarchaeia\, the Hodarchaeales\, as the closest known relatives of eukaryotes. Reconstructions of ancestral gene repertoires\, structure-based homology searches\, and targeted experiments suggest that the archaeal progenitor of eukaryotes already possessed an enriched set of genes involved in cytoskeletal dynamics\, membrane trafficking\, and other functions that contribute to cellular complexity. This talk will showcase how integrating computational approaches is transforming our understanding of early cellular evolution and revealing the deep archaeal roots of eukaryotic life. \n\n\n\n\nIngemar André\, Lund University\nTitle: Discovering patterns in the codon sequences of proteinsAffiliation: Center for Molecular Protein Science\, Lund UniversityBio: Prof. André has a PhD in Biophysical Chemistry from Lund University. He joined the University of Washington for postdoctoral work before returning to Lund University to start his research group in 2009. He studies protein self-assembly to understand the mechanism behind the formation of large assemblies using experimental and computational methods. Large assemblies are also designed using computational protein design methods and artificial intelligence. His group also works on the design of conformational changes in proteins. Another direction is the study of codon adaptation in organisms and its effect on co-translational folding. Questions related to how protein structure has evolved are also addressed in research by the group using computational and experimental methods.Abstract: The genetic code defines how amino acid sequences are encoded in mRNA. Due to redundancy\, this encoding is not unique\, with up to six different codons specifying the same amino acid. Historically\, synonymous mutations\, changes between codons for the same amino acid\, have been referred to as “silent.” However\, it is now clear that codon choice can have significant functional consequences. \n\n\n\nWe investigated the effect of synonymous codons on protein folding efficiency in E. coli using a high-throughput experimental assay. Our results reveal a link between protein topology and the proportion of nascent proteins that emerge from the ribosome correctly folded\, showing that even single synonymous substitutions can strongly influence co-translational protein folding. \n\n\n\nComplementary bioinformatic analyses establish a relationship between codon usage and protein secondary structure. Furthermore\, by training a large language model\, we developed a predictive framework that identifies positions of rare codons within coding sequences\, uncovers patterns explaining codon choice along the sequence\, and highlights mRNA stability as an important determinant of codon usage. \n\n\n\n\nJoakim Jaldén\, KTH\nTitle: Restless bandits and self-driving microscopesAffiliation: KTH Royal Institute of TechnologyBio: Joakim Jaldén has a M.Sc. in electrical engineering and a Ph.D. in telecommunications from the KTH. Since his employment as a tenure-track faculty at KTH in 2009\, he has increasingly devoted the group’s research efforts towards data analysis challenges in life science applications. Highlights include: The development of data association algorithms for single-cell tracking in time-lapse microscopy\, in collaboration with the Blau lab at Stanford; Mathematical models and algorithms for cytokine movement and antibody interaction in immunoassay\, which laid the foundation for patented technology behind the Mabtech AB analysis instruments for ELISpot and FluoroSpot\, and most recently\, multiplex assays; Algorithms and AI for long-read DNA basecalling from nanopore data\, in collaboration with SciLifeLab. He has been a full professor at KTH since 2017\, where he is now also deeply engaged in education.Abstract: The talk will focus on one result stemming from a first round of joint WASP-DDLS projects. The proposal envisioned the use of reinforcement learning as a tool to capture images of rare cell states in the context of automated microscopy. It will cover\, at a conceptual level\, the mathematical modeling decisions made to arrive at principled automation rules regarding what field of view to image and for how long\, ending with empirical illustrations of the practically realizable gains. \n\n\n\n\nMark Ravinet\, University of Oslo\, Norway\nTitle: The evolutionary history of a commensal species: lessons from adapting to the AnthropoceneAffiliation: Centre for Ecological and Evolutionary Synthesis\, University of OsloBio: Mark is an evolutionary biologist interested in understanding speciation and adaptation using a wide range of ecological and genomic techinques. He completed his PhD on local adaptation and speciation in three-spined sticklebacks at Queen’s University Belfast. Following that he was a JSPS Postdoctoral Fellow at the National Institute of Genetics\, Japan\, where he worked on the genomics of speciation in marine sticklebacks. He continued his work on the genomics of speciation and hybridisation\, this time on Passer sparrows\, at the University of Oslo as a Marie Curie fellow. It was here that his interest in understanding how human activity has shaped the evolution of other species began. He also has a strong interest in teaching genomics and bioinformatics to those beginning in the field. He has written several well-known resources and is co-author on the textbook Evolutionary Genetics: Concepts\, Analysis and Practice. He is now an Associate Professor at the University of Oslo and his primary research focus is on using Passer sparrows as a model system for understanding how human activity might have driven adaptation\, hybridisation and even potentially speciation in these charismatic little birds.Abstract: Human activity has altered the evolutionary trajectories and ecological circumstances of nearly every species on Earth. Commensal species are an extreme example to adaptation to anthropogenic niches\, benefitting from a close association with human activity. What can the evolution of a commensal life history tell us about how species adapt to environmental change driven by humans?House sparrows (Passer domesticus) are a hugely successful human-commensal species\, occurring on nearly every continent\, largely due to human introductions. Despite its close association human society\, surprisingly little is known about the evolutionary history of this species\, how it has evolved to fit a tight anthropogenic niche and the evolutionary consequences of its rapid global spread. Our work has focused on addressing this.With resequencing data from over 1200 Passer sparrows\, we first reconstructed the evolutionary history of the house sparrow. Our results suggest the species likely adapted to a human niche\, potentially more than once\, in Central Asia during the last 10\,000 years. We used phenotypic data including micro-CT 3D scanning to compare skull morphology between human commensal and wild sparrow populations. We identified clear divergence in skull morphology\, beak shape and an increased brain size in the commensal house sparrow populations. A major signature selective sweep in the house sparrow genome encompasses two major candidate genes; COL11A1 – which regulates craniofacial and skull development and AMY2A which is linked to adaptation to high-starch diets in humans and dogs. Functional analysis of COL11A1 confirms its role in skull development and we show evidence of copy number variation at AMY2A.Our next aim was to investigate the more recent global spread of the species. Native to Eurasia\, the house sparrow was introduced to the Americas\, Australasia and Sub-Saharan Africa in the 19th and 20th centuries. Using resequenced genome data from across this range\, we have reconstructed the population genomic signatures of these introductions. Our findings point to introductions from two divergent lineages of house sparrow to different parts of the world as well as the rapid evolution of genetic differentiation among introduced populations. We further investigated adaptation to climatic variation across the introduced ranges of the species in North America and Australia. We identify several candidate genes linked to growth\, thermoregulation and thermal tolerance\, suggesting introduced populations have adapted to new environmental conditions in less than 150 generations.Our work identifies phenotypes and genes involved in rapid adaptation in parallel to anthropogenic change across the native and introduced range of the house sparrow. With a global distribution spanning a wide range of climatic conditions and a close association with human society\, we suggest the house sparrow is an ideal model species for understanding adaptation in the Anthropocene. \n\n\n\n\nNicolai Birkbak\, Aarhus University\, Denmark\nTitle: T cell receptor diversity and immune health as a prognostic cancer biomarker \n\n\n\nAffiliation: Department of Clinical Medicine\, Aarhus University\, Denmark \n\n\n\nBio: Nicolai Birkbak is Professor of Cancer Evolution and Bioinformatics at Aarhus University and Aarhus University Hospital\, Denmark\, where he leads an independent research group. His research focuses on the bioinformatic analysis of high-dimensional data to understand how the immune system interacts with cancer. By integrating genomic\, transcriptomic\, single-cell\, and spatial data with medical imaging and liquid biopsy analyses\, including circulating tumor DNA and T-cell receptor sequencing\, his group develops holistic biomarkers that capture both tumor biology and host immune responses. \n\n\n\nNicolai trained in bioinformatics at the Technical University of Denmark and completed postdoctoral research at the Dana-Farber Cancer Institute and the Francis Crick Institute. At the Crick\, he contributed to the TRACERx lung cancer evolution project\, advancing understanding of how tumors evolve and evade immune surveillance. His work has also helped identify biomarkers of sensitivity to PARP inhibitors and elucidate mechanisms linking tumor evolution\, immune modulation\, and metastatic progression. \n\n\n\nThe overarching aim of his research is to translate these insights into precision medicine – enabling earlier detection\, improved prediction of treatment response\, and ultimately better outcomes for cancer patients. \n\n\n\nAbstract: The adaptive immune system not only protects us against pathogens but also plays a crucial role in defending against cancer. Among its key components\, T cells serve as central effectors in the endogenous anti-cancer response. Yet\, the clinical significance of their quantity\, diversity\, and dynamics remains insufficiently understood. \n\n\n\nWe investigated the prognostic value of the T cell receptor (TCR) repertoire in patients with bladder cancer. In advanced-stage disease\, we found that low pre-treatment peripheral TCR diversity was associated with poorer overall survival\, particularly when combined with low circulating T cell fractions. These low-diversity repertoires were dominated by hyperexpanded clones that persisted throughout treatment and were frequently directed against chronic viral infections such as cytomegalovirus. Longitudinal analyses further revealed treatment-associated declines in TCR diversity\, suggesting adverse effects on systemic immune health. \n\n\n\nTogether\, these findings highlight that immune health biomarkers such as TCR diversity may provide new opportunities for precision medicine approaches aimed at improving cancer treatment outcomes. \n\n\n\n \n\n\n\n\nVerónica Rendo\, Uppsala University\nTitle: From tumor maps to new therapies for pediatric brain cancer \n\n\n\nAffiliation: Department of Immunology\, Genetics and Pathology; Uppsala University \n\n\n\nBio: Veronica studied Biology at Simon Bolivar University in Venezuela\, and in 2013 moved to Sweden to pursue a PhD at Uppsala University. During this time\, she worked under the mentorship of Prof. Tobias Sjöblom and studied how genomic losses in cancer could be exploited for therapy. In 2019\, she moved to Boston (USA) to pursue a postdoc in Dr. Rameen Beroukhim’s lab at Dana-Farber Cancer Institute\, affiliated with Harvard Medical School and the Broad Institute of MIT and Harvard. Here\, Veronica focused on studying mechanisms of response and resistance associated with p53 reactivation in malignant brain tumors. She additionally continued her work on aneuploidy\, describing a new class of therapeutic targets as ‘toxic genes’ – genes whose high-levels of expression are detrimental to cancer cell fitness. In 2025\, Veronica became a Group Leader in Neuro-Oncology at the Department of Immunology\, Genetics and Pathology at Uppsala University.  Her lab investigates the genetic and adaptive mechanisms driving brain tumor evolution and therapy resistance\, with the goal of identifying new treatment targets. \n\n\n\nAbstract: In Sweden\, cancer remains the leading cause of disease-related death among children\, with brain tumors representing the most lethal subtype due to their limited treatment options and high relapse rates. One rare and aggressive subtype is atypical teratoid/rhabdoid tumors (AT/RT)\, an embryonal brain tumor which affects infants of under 2 years of age. The low incidence of AT/RT has hindered the establishment of a universal standard of care. Because these tumors primarily affect infants under two years of age\, treatment is largely restricted to intensive chemotherapy regimens designed to avoid the harmful effects of radiation therapy. However\, these high-dose regimens often yield only partial responses\, underscoring the urgent need to elucidate mechanisms of chemoresistance and to identify novel therapeutic strategies. We aim to uncover the transcriptional cell states and genetic vulnerabilities associated with chemotherapy-persistent AT/RT\, thereby revealing new targets that can enhance the efficacy of frontline treatments. To this end\, we first employ cellular barcoding to track cancer cell populations at single-cell resolution before and after exposure to individual chemotherapeutic agents used in clinical AT/RT protocols. This approach enables comparison of treatment regimens and identification of overlapping mechanisms of resistance. To further dissect these mechanisms\, we leverage CRISPR sensitizer screens to define targetable genes that potentiate chemotherapy response when depleted. Through our integrated transcriptomic and functional genomic analyses\, we ultimately aim to uncover novel therapeutic targets in chemotherapy-persistent AT/RT cells and accelerate the development of more effective treatment strategies. \n\n\n\n\n \n\n\n\n\nJenny Frössling\, Swedish Veterinary Agency\n\n\n\nKarl Ståhl\, Swedish Veterinary Agency\n\n\n\nErika Chenais\, Swedish Veterinary Agency\n\n\n\nStefan Widgren\, Swedish Veterinary Agency\n\n\n\nHyeyoung Kim\, Swedish Veterinary Agency\n\n\n\nAngela Fuentes Pardo\, SciLifeLab Data Centre with Henrik Lantz\, NBIS.\n\n\n\n\nDDLS Fellows\n\n\n\nAndrea Fossati\, KI\nTitel: Mapping infection at proteome scale: Toward mechanistic design of phage-based antimicrobialsAffiliation: Karolinska InstitutetAbstract: The rise of antimicrobial resistance (AMR) is outpacing the discovery of new antibiotics\, creating an urgent need for alternative strategies. Bacteriophages (phages) offer a promising route to targeted antimicrobials\, but their rational use is hindered by limited understanding of how they reprogram bacterial cells during infection. Our work addresses this by systematically mapping host–phage protein–protein interactions (PPIs) to uncover how viral proteins hijack essential bacterial complexes and redirect cellular physiology. Using next-generation interaction proteomics based on co-fractionation mass spectrometry (SEC-MS)\, we generated the first temporally resolved interactome of mycobacteriophage-infected cells. This approach captures native phage and host complexes without genetic tagging\, enabling functional inference of phage proteins directly from their physical context. We identify hundreds of infection-specific assemblies\, including viral inhibitors of essential bacterial machineries such as RNA polymerase and ribosomes. Structural modeling and comparative network analysis reveal conserved interface motifs and divergent strategies of complex remodeling across phage families. Integration of these data with CRISPRi perturbation and antibiotic susceptibility profiling provides a quantitative framework to predict infection outcomes and phage engineering. \n\n\n\n\nAvlant Nilsson\, KI\nTitle: Towards an interpretable deep learning model of cancerAffiliation: Karolinska InstitutetBio: Avlant Nilsson is a computational biologist and assistant professor in precision medicine at the department of Cell and Molecular Biology at Karolinska Institutet\, Stockholm. He holds a MSc (2009-2014)\, and a PhD (2014-2019) degree in biological engineering from Chalmers University of Technology\, where his thesis focused on the metabolism of growing cells\, including liver cancer.In his postdoctoral work at Massachusetts Institute of Technology (2019-2023)\, he developed artificial neural network models to simulate signal transduction in immune cells.His lab at SciLifeLab is developing techniques to simulate cellular processes in cancer\, aiming at identifying effective drug combinations\, predicting resistance mechanisms\, and understanding cell-cell interactions in the tumor microenvironment.Abstract: Deep learning offers new possibilities for understanding cancer using high throughput data. However\, it can be challenging to translate predictive models into causal description of cellular responses. Our lab develops biologically informed neural networks that integrate omics data with prior knowledge of signaling\, gene regulation\, and metabolism. By constraining the models to only include physical molecular interactions\, we are developing interpretable models for computer-aided design of personalized cancer medicine. With this approach we aim to answer questions such as why the same mutation yields different effects across cell types\, unexpected signaling outcomes of drugs\, and how genetic alterations may drive metabolic strategies. \n\n\n\n\nKelly Swarts\, SLU Umeå\nTitle: Climate adaptation in natural forest treesAffiliation: Umeå Plant Sciences Centre\, Swedish Agricultural UniversityAbstract: Conifers are ecologically dominant and economically important\, but are succumbing to drought\, disease\, early-budding and other challenges globally because the climate has changed so that mature trees are no longer adapted to their environment. If we could predict how individual tree genotypes would respond to different environments\, we could — given environmental predictions — plant the right tree in the right space. Standard agronomic approaches are effective but are less suitable for trees with long generation times and huge genetic diversity. We propose a system for quickly estimating adaptive responses for any forest tree. The key is tree increment core samples\, which simultaneously provide DNA for genotyping and annual growth measurements\, estimated from growth rings. For each genotype\, we thus have a life-time’s worth of experienced year-environments. This allows us to partition growth variation into generalizable environmental responses for years with historical weather or biotic information\, using quantitative\, genomic and ecological approaches to control for correlated responses. We focus on the economically and ecologically important conifer Norway spruce (Picea abies) to 1) develop models and infrastructure to understand the fraction of annual growth that can be attributed to genotype\, environment and genotype-by-environment interactions (GxE)\, 2) map the genetic basis of adaptive response using estimates for GxE as a response in genome-wide association studies (GWAS) and 3) predict genetic responses to novel environments. This approach enables estimation of the genetic basis of adaptive responses in any population\, providing the means to evaluate a tree’s performance in any modeled environment. As environments shift under climate change\, this provides a powerful tool to select parents for healthy\, resilient forests. \n\n\n\n\nLuisa W Hugerth\, Uppsala University\nTitle: Bridging the last mile: microbiome-enhanced forecasting of pregnancy complications \n\n\n\nAffiliation: Uppsala University \n\n\n\nBio: Luisa W. Hugerth trained both in biomedicine at Karolinska and in microbial ecology at KTH before combining these two interests by joining the Centre for Translatinal Microbiome Research. Since 2022 she is a DDLS fellow based at UU\, where she leads the Human Microbial Ecology Lab\, studying the microbiome as a modifiable risk factor in women’s health. \n\n\n\nAbstract: Patients know a lot about themselves and their health\, and asking the right questions will remain the key main strategy for taking clinical decisions. Still\, there is always uncertainty in how an individual will react to an intervention. Leveraging large population-based pregnancy cohorts and combining questionnaires\, registries\, fecal and vaginal microbiome\, we achieve improved accuracy in pregnancy complication predictions\, including preterm birth\, large-for-gestational age and small-for-gestational age infants. \n\n\n\n\nNovelty\, Excellence\, Synergy\, and Teams Projects (NEST)\n\n\n\n\nTIMED: Time-Resolved Imaging and Multi-Channel Evaluation of Cellular Dynamics. Researchers: Rocio Mercado (CHT)\, Ola Spjuth (UU)\, Ashkan Panahi (CTH)\, Prashant Singh (UU) and Brinton Seashore-Ludlow (KI)\n\n\n\nLearning 3D genome dynamics from heterogeneous data. Researchers: Thomas Schön (UU)\, Johan Elf (UU) and Magda Bienko (KI)\n\n\n\nMultimodal AI-based Precision Diagnostics and Decision Support for Breast Cancer (AID4BC). Researchers: Claes Lundström (LiU)\, Mattias Rantalainen (KI)\, Sophia Zackrisson (LU) and Dave Zachariah (UU)\n\n\n\n\n \n\n\n\nResearch Data Community Projects (RDCP)\n\n\n\n\nMicroscopy Foundation Model & AI-Ready Data Hub for Smart Microscopy\, Wei Ouyang\, KTH. Presenting: Hanzhao Zhang\, KTH\n\n\n\nTissUUmaps Research Data Community Project\, Carolina Wählby\, Uppsala University\n\n\n\nCRITICAL MICROBES – Comprehensive Research on InfecTIons Complications Across the Lifespan – MICROBiology Epidemiology in Sweden\, Sara Kalucza\, Umeå University\n\n\n\nSwedish Metabarcoding Network (SMN)\, Tobias Andermann\, Uppsala University\n\n\n\n\n \n\n\n\nThe Precision Medicine and Diagnostics and Cell and Molecular Biology parallel sessions will include selected short talks from submitted abstracts.   \n\n\n\n\nRegistration\n\n\n\nThe Poster registration is closed! If you want to update or cancel your poster\, please contact events@scilifelab.se. \n\n\n\nWe have reached full capacityWe are currently at full capacity with a waiting list. If you are no longer able to attend\, please cancel your registration as soon as possible. This will allow us to accommodate others on the waiting list and ensure a smooth experience for all attendees. The Program in Hall B will be live-broadcast to SciLifeLab YouTube Talks & Training channel. \n\n\n\nRegister for the Waiting list\n\n\n\nRegistration and Poster Submission Deadline \n\n\n\nWe have 320 seats. The registration and poster submission close on October 21st. If you register after October 21st\, you will need to write your name on a name tag at the on-site registration. Unfortunately\, we cannot accommodate allergies or dietary preferences for those who register after the deadline. \n\n\n\nWaiting List \n\n\n\nTo avoid empty seats\, registration will remain open until the event begins. If we reach full capacity\, a waiting list will be activated. Sign up for the waiting list\, and you will automatically receive an email when a spot becomes available. You must accept to secure the spot. If you decline\, the offer will go to the next person on the waiting list. \n\n\n\nCancellation \n\n\n\nTo minimize empty seats and especially food waste\, you must cancel your registration if you are unable to attend the conference. If a waiting list is activated\, your spot will go to someone else. \n\n\n\n\n\n\n\n\nPoster session\n\n\n\nPoster Abstracts\n\n\n\nPostersA3Download\n\n\n\nPoster Sessions\, November 12 \n\n\n\n14:00 15:00 Hall C: Poster session I (odd numbers) \n\n\n\n16:30 17:30 Hall C: Poster session II (even numbers) \n\n\n\nInstructions: \n\n\n\n1. Find your number in the POSTER LIST attached. \n\n\n\n2. Hang your poster on the board indicating your number\, starting at 11:00 in Hall C\, to increase visibility during lunch on Day 1. \n\n\n\n3. Please stand by your poster during your assigned session (odd or even numbers). Leave it displayed throughout the conference so everyone can see it. \n\n\n\nThe poster board area measures 103×143 cm. Bring a poster size you prefer. \n\n\n\nDDLS Annual Poster Prize\n\n\n\nThe DDLS Poster Prize encourages PhD students and postdoctoral researchers to present high-quality work in data-driven life science. The award\, decided by a Scientific Committee jury\, includes a certificate and a travel grant of up to 5\,000 SEK. Conditions apply. If you present a poster\, please ensure you stay for the Poster Award Ceremony at 12:00 by the end of the Conference. \n\n\n\n \n\n\n\nMap over UKK and the poster session (Hall C)\n\n\n\nMap UKK Floor 3 with poster session in Hall CDownload\n\n\n\nProgram\n\n\n\nThe Plenary Program (excluding the Parallel Sessions) will be live-broadcast on the SciLifeLab YouTube channel. There might be some speakers sharing unpublished data that will be excluded from the live-broadcast. \n\n\n\nProgram DDLS Annual Conference 2025_v13Download\n\n\n\n\n\n\n\nDDLS Annual Conference 2025 workshops\n\n\n\nDuring the second day of the DDLS Annual Conference\, participants will have an opportunity to attend one of three workshops. The workshops are designed for researchers in data-driven life sciences at all career stages. \n\n\n\nEach workshop has a limited number of seats on a first-come\, first-served basis. Those registered after the limit is reached will be placed on a waiting list. The workshops will take place in various rooms of the main conference venue\, UKK. All workshops start at 13:30 but can end at various times. Coffee/tea and fika will be served during the workshops. \n\n\n\nFeel free to email datacentre@scilifelab.se with any questions about workshop 1 and 2 and traininghub@scilifelab.se for workshop 3. \n\n\n\nRead more about Workshops\n\n\n\nWorkshop 1. Automating life science & biomedical tasks with LLMs and beyond: practical guide \n\n\n\nWorkshop 2. Open Source Software for Research – Sharing Code and Software the Right Way \n\n\n\nWorkshop 3. Development of a Mastery Rubric for Data Driven Life Scientists \n\n\n\nPractical information\n\n\n\nTravel to Uppsala\n\n\n\nThe Venue\, Uppsala Konsert & Kongress (UKK) is next to the Train station. MAP here! Travel centres\, bus stops\, parking and hotels are all located within walking distance from Uppsala Konsert & Kongress. Several train and bus lines connect Uppsala to the rest of the country and the region\, and Arlanda Airport is only 18 minutes by train\, Stockholm Central station is approx. 30 minutes by train. \n\n\n\nUppland public transport (UL) timetables and information: www.ul.seStockholm public transport (SL) timetables and information: www.sl.se SJ timestables and information: www.sj.se \n\n\n\nGood to know\, travelling to Uppsala. \n\n\n\nParking\n\n\n\nThe nearest parking garage is Centralgaraget. There is also parking available in Kvarnens parking garage\, Svava\, S:t Per Gallerians garage\, Österplan\, and several other locations in central Uppsala. For more information about parking in the area\, please visit Uppsala Parkering. \n\n\n\nHotels in Uppsala\n\n\n\nFind suggestions for accommodation in Uppsala here URL:https://www.scilifelab.se/event/ddls-annual-conference-2025/ LOCATION:Uppsala Konsert & Kongress (UKK)\, Vaksala torg 1\, Uppsala\, 753 31\, Sweden CATEGORIES:Event END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Stockholm:20251113T133000 DTEND;TZID=Europe/Stockholm:20251113T160000 DTSTAMP:20251105T121833Z CREATED:20250903T073116Z LAST-MODIFIED:20251105T121833Z UID:10001595-1763040600-1763049600@www.scilifelab.se SUMMARY:DDLS Annual Conference 2025 workshops DESCRIPTION:During the second day of the  DDLS Annual Conference 2025 held at Uppsala Kongress och Konsert (UKK) participants will have an opportunity to attend one of the workshops. The workshops are directed at researchers in data-driven life science in all career stages. \n\n\n\nPlease note that each workshop has a limited number of seats\, on the first come first served basis. Those registered after the limit is reached will be placed on the waiting list. The workshops will take place in various rooms of the main venue of the conference –UKK All workshops start at 13:30 but end at various times. Coffee/tea and fika will be served during the workshops. \n\n\n\nFeel free to email datacentre@scilifelab.se with any questions about workshop 1 and 2 and traininghub@scilifelab.se for workshop 3. \n\n\n\nWorkshops\n\n\n\nWorkshop 1. Automating life science & biomedical tasks with LLMs and beyond: practical guide\n\n\n\nHeld by: Ola Spjuth (UU\, SciLifeLab AI Lead) and AI data engineers Mahbub Ul Alam and Johan Alfredéen at SciLifeLab Data Centre \n\n\n\nWhere and when: November 13\, 2025 at 13:30-16:00\, room K1 (36 seats) UKK \n\n\n\n\nRegistration\n\n\n\n\nDescription:  We will explore how artificial intelligence (AI) can help make your research more productive. You will see how AI agents can help youcreate new\, testable ideas. We will introduce modern agentic AI tools that can automatically handle many research tasks. These tools use powerful large language models (LLMs) to plan and perform complex jobs. You will learn how to apply them using several available cloudplatforms and open-source tools. The main goal is to show you how to use AI to speed up your work and discover new research questions. \n\n\n\nWorkshop participants can then choose from a number of hands-on exercises that they can complete on their own laptops. We will be available to help and answer questions.    \n\n\n\nWorkshop 2. Open Source Software for Research – Sharing Code and Software the Right Way\n\n\n\nHeld by: Chris Erdmann (Head of Open Science\, SciLifeLab) and coordinators Alma Nilsson\, Suné Joubert and Parul Tewatia SciLifeLab Data Centre \n\n\n\nWhere and when: November 13\, 2025 at 13:30-16:00\, room K2 (20 seats) UKK \n\n\n\n\nRegistration\n\n\n\n\nDescription: Research depends on software\, but without open and FAIR practices\, reproducibility and reuse are limited. Open-source software means code that is not only available but also licensed for free use\, modification\, and sharing. This workshop provides an overview of open science policy related to software\, and introduces the Open Science Software Checklist \, showing how to apply it to make research code adhere to open science policies and guidelines. Speaker at the workshop include Malin Sandström from the Swedish Research Council (Vetenskapsrådet) and researchers from the SciLifeLab research community\, as well as coordinators and data stewards from SciLifeLab Data Centre. \n\n\n\nParticipants should bring their own laptop and have a GitHub account. Having Visual Studio Code installed and connected to one’s GitHub is helpful but not required. \n\n\n\nWorkshop 3. Development of a Mastery Rubric for Data Driven Life Scientists\n\n\n\nHeld by: Jill Jaworski\, SciLifeLab Training Hub \n\n\n\nWhere and when: November 13\, 2025 at 13:30-16:00\, room K3+K4 (90 seats) UKK \n\n\n\n\nRegistration\n\n\n\n\nDescription: What is a data-driven life scientist? What knowledge\, skills and abilities do these individuals have and what core competencies do they share within their respective expertise-areas? What distinct characteristics set them apart from other life-scientists? \n\n\n\nIn this interactive workshop\, through facilitated discussions and collaborative exercises\, we will come to a shared understanding of what is required in this profession. We will create a Rubric that outlines the different knowledge\, skill and ability areas of data-driven life scientists and map these competencies against beginner\, intermediate and mastery levels. \n\n\n\nIn this way\, we will help define the scope of data-driven life scientists and demonstrate what is needed for them to progress along learning paths from beginners to masters in their subject areas\, thereby helping them understand how and where they can develop professionally. Amid quickly changing scientific landscapes\, complex and pressing real-world issues\, and growing mistrust in science\, it is important to create a shared framework for what we mean when we describe data-driven life scientists\, which will help bring credibility to the profession\, trust\, and clear guidance on how to professionally develop. \n\n\n\nParticipants will need to bring a laptop or tablet to this workshop to be able to fully participate. URL:https://www.scilifelab.se/event/ddls-annual-conference-2025-workshops/ LOCATION:Uppsala Konsert & Kongress\, Vaksala torg 1\, Uppsala\, 75331\, Sweden CATEGORIES:Event ORGANIZER;CN="SciLifeLab Data Centre":MAILTO:datacentre@scilifelab.se END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Stockholm:20251201T151500 DTEND;TZID=Europe/Stockholm:20251201T161500 DTSTAMP:20251119T104326Z CREATED:20251119T104324Z LAST-MODIFIED:20251119T104326Z UID:10001668-1764602100-1764605700@www.scilifelab.se SUMMARY:[The Svedberg seminar] - Genome organisation and patterns of molecular evolution DESCRIPTION:Jennifer James \n\n\n\nAssistant Professor DDLS Fellow \n\n\n\n \n\n\n\n\n\n\n\nBio\n\n\n\nDr. Jennifer James did her PhD in population genetics with Adam Eyre-Walker at the University of Sussex. After a postdoctoral position at the University of Cambridge she moved to the US\, where she worked as a postdoctoral researcher with Joanna Masel at the University of Arizona\, which introduced her to the world of proteomics. She next moved to Uppsala and worked as a postdoctoral research fellow with Martin Lascoux prior to becoming a DDLS fellow and starting her own new research group in Molecular Evolution. Her group conducts research on patterns of molecular evolution both at the genome and proteome level\, with a focus on understanding mutational robustness. \n\n\n\n \n\n\n\n \n\n\n\nGenome organisation and patterns of molecular evolution\n\n\n\n \n\n\n\nIn my group\, we try to understand patterns of phenotypic evolution at the proteome level\, and molecular evolution across the genome. Key to this question is understanding how the genome is structured and organised. For example\, how pleiotropic are the effects of genes on average\, and how complex are gene networks? To give one case\, if pleiotropy is universal\, such that all genes affect all traits\, we expect all new mutations to have the same effect on fitness. However\, the extent of pleiotropy in real biological systems remains debated. In this seminar I will discuss our \n\n\n\n \n\n\n\nHost: Siv Andersson siv.andersson@icm.uu.se\, UU URL:https://www.scilifelab.se/event/the-svedberg-seminar-jennifer-james/ LOCATION:BMC Room C8:301\, Husargatan 3\, Uppsala\, Sweden CATEGORIES:Event ATTACH;FMTTYPE=image/png:https://www.scilifelab.se/wp-content/uploads/2022/02/Picture1-The-Svedberg.png ORGANIZER;CN="The Svedberg Seminar Series":MAILTO:thesvedberg@scilifelab.uu.se END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Stockholm:20260212T153000 DTEND;TZID=Europe/Stockholm:20260212T173000 DTSTAMP:20260205T144307Z CREATED:20260115T091644Z LAST-MODIFIED:20260205T144307Z UID:10001719-1770910200-1770917400@www.scilifelab.se SUMMARY:Industry and Academy Matchmaking for Joint DDLS Projects 2026 DESCRIPTION:To further support networking and the formation of collaborative projects within the SciLifeLab & Wallenberg National Program for Data-Driven Life Science (DDLS)\, a matchmaking event between industry and academia is organized by SwedenBIO and DDLS Research School at Life City\, Hagastaden (Stockholm) 15:30-17:30 on Thursday 12 February. This “after work”-style event will contain information about the DDLS Research School\, current and upcoming PhD and postdoc project calls\,  brief pitches from successful ongoing joint projects\, mingle\, drinks\, and snacks. \n\n\n\nProgram\n\n\n\n \n\n\n\nRegistration 15:15Event start 15:30 \n\n\n\n\nWelcome and opening words\n\n\n\nIntroductions DDLS Research School PhD students and postdocs\n\n\n\nIndustry- Academy project pitches:\n\nSofia Larsson\, Readily Diagnostics\n\n\n\nIsac Stark\, Antaros Medical\n\n\n\n\n\nIndustry presentations\n\n\n\n\nMingle until 17:30             \n\n\n\n               \n\n\n\n \n\n\n\n \n\n\n\nRegister here\n\n\n\nDeadline for registration: 29 January 12:00 \n\n\n\nWELCOME! URL:https://www.scilifelab.se/event/industry-and-academy-matchmaking-for-joint-ddls-projects-2026/ LOCATION:Life City\, Solnavägen 3H\, Stockholm\, 113 64 CATEGORIES:Event ATTACH;FMTTYPE=image/png:https://www.scilifelab.se/wp-content/uploads/2026/01/34532806cd22435bd0d1c12c485b59b164a9125b454190bcc4072e7ddbe456d2-scaled.png ORGANIZER;CN="Data-Driven Life Science @ SciLifeLab":MAILTO:ddls@scilifelab.se END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Stockholm:20260218T130000 DTEND;TZID=Europe/Stockholm:20260218T173000 DTSTAMP:20260217T102443Z CREATED:20260117T140103Z LAST-MODIFIED:20260217T102443Z UID:10001724-1771419600-1771435800@www.scilifelab.se SUMMARY:DDLS Evolution & Biodiversity - Planetary Biology meeting DESCRIPTION:Welcome to this joint meeting between DDLS Evolution & Biodiversity and SciLifeLab Planetary Biology to discuss shared visions and goals\, and potential initiatives in collaboration. \n\n\n\nAgenda \n\n\n\n13:00–13:05 | Welcome & objectives \n\n\n\n13:05–13:40 | Presentation round  \n\n\n\n13:40–13:55 | DDLS EB: Vision\, goals & ongoing activities. Sara Hallin  \n\n\n\n13:55–14:10 | Planetary Biology: Vision\, goals & ongoing activities. Olga Vinnere Pettersson \n\n\n\n14:10–14:20 | The Data Science Node in Evolution and Biodiversity. Henrik Lantz \n\n\n\n14:20–14:30 | Joint reflections & clarifying common objectives \n\n\n\n14:30–15:00 | Coffee break  \n\n\n\n15:00–15:30 | Looking ahead: 2026 planning \n\n\n\n15:30–16:35 | Strengthening collaboration & joint initiatives \n\n\n\n16:35–17:00 | Next steps & wrap-up \n\n\n\n18:30 – | Dinner at Frans Bistro (Dragarbrunnsgatan) URL:https://www.scilifelab.se/event/ddls-evolution-biodiversity-planetary-biology-meeting-2/ LOCATION:BMC Trippelrummet\, Husargatan 3\, entrance C11\, Uppsala\, Sweden END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Stockholm:20260309T093000 DTEND;TZID=Europe/Stockholm:20260310T120000 DTSTAMP:20260223T125827Z CREATED:20260209T113147Z LAST-MODIFIED:20260223T125827Z UID:10001752-1773048600-1773144000@www.scilifelab.se SUMMARY:Phages: From Basic Discoveries to Clinical Applications DESCRIPTION:The symposium “Phages: From Basic Discoveries to Clinical Applications” brings together researchers\, clinicians and technology developers for two days of focused discussions on how bacteriophages can be advanced as precision antimicrobials. The event aims to bridge traditionally separate communities by (1) engaging clinicians to highlight unmet medical needs and clinical challenges\, (2) introducing the SciLifeLab to these problems and (3) showcasing cutting-edge national and international phage research spanning molecular mechanisms\, synthetic engineering and therapeutic development. \n\n\n\nDate: 9th March 9.30-16 / 10th March 9.30- 12:00 \n\n\n\nVenue: Atrium\, Ground floor in Wargentinhuset\, Nobels väg 12B\, 171 65 Solna. \n\n\n\nOrganizer and main contact for questions: Andrea Fossati\, DDLS Fellow\, KI. \n\n\n\nRegistration\n\n\n\nRegister here\n\n\n\n\n\n\n\nProgram\n\n\n\nphages_2026_v2Download URL:https://www.scilifelab.se/event/phages-from-basic-discoveries-to-clinical-applications/ LOCATION:Atrium KI Campus\, Nobels väg 12B\, 171 65 Solna CATEGORIES:Event END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Stockholm:20260311T120000 DTEND;TZID=Europe/Stockholm:20260312T130000 DTSTAMP:20260312T153025Z CREATED:20251021T074531Z LAST-MODIFIED:20260312T153025Z UID:10001639-1773230400-1773320400@www.scilifelab.se SUMMARY:Artificial intelligence and data-driven approaches for addressing the global challenge of antibiotic resistance DESCRIPTION:Join the Data-driven Epidemiology and Biology of Infection research area (DDLS\, Sweden) and the Fleming Initiative (UK) for an inspiring lunch-to-lunch meeting filled with science\, networking\, and discussions. Primarily for the participants from Sweden and the UK. Others may inquire about availability. Contact information for Saba Parween is found under the headline Registration. \n\n\n\nInfections caused by antibiotic-resistant bacteria are increasing\, leading to millions of deaths and rising societal costs. Eighty years after Alexander Fleming was awarded the Nobel Prize for his discovery of penicillin\, we are still confronted with the urgent challenge of diminishing antibiotic effectiveness. This symposium will explore how artificial intelligence and other data-driven approaches can provide new strategies to combat the growing threat of antibiotic resistance. \n\n\n\nThe DDLS research area symposia series aims to engage and promote the national scientific community around the DDLS research themes. The symposia bring together researchers\, industry\, and healthcare to stimulate collaboration and push the frontiers of data-driven life science. The events are open for everyone interested in data-driven research to participate. \n\n\n\nThis event is jointly organized by the Data-Driven Life Science program (DDLS\, Sweden)\, The Fleming Initiative\, a partnership between Imperial College London and Imperial College Healthcare NHS Trust\, and is hosted by SciLifeLab and the Knut and Alice Wallenberg Foundation and supported by UK Science and Technology Network. \n\n\n\nRead more about the Data-Driven Life Science Program \n\n\n\nRead more about the Fleming Initiative.  \n\n\n\nDate: 11-12 March 2026Time: lunch-to-lunchVenue: Norrlands Nation Fest and Conference\, Västra Ågatan 14\, 753 09 Uppsala \n\n\n\nConference Dinner at Norrlands Nation after the Poster session. \n\n\n\nRegistration\n\n\n\nRegistration has closed! To secure a seat due to a late cancellation\, please email events@SciLifeLab.se. \n\n\n\nSaba Parween saba.parween@umu.se \n\n\n\nProgram\n\n\n\nFinal3_Program_DDLS_EBIDownload\n\n\n\nSessions\n\n\n\nData-Driven Insights into Infection Biology \n\n\n\nApplications of Diagnostic and Surveillance Data \n\n\n\nNovel Data Approaches for Diagnostics and Patient-Level Care \n\n\n\nResearch Translation and Implementation of AI in Healthcare \n\n\n\nConfirmed Speakers\n\n\n\n\nLaura Carroll\, Umeå University\, Sweden\n\n\n\nDavid Aanensen\, University of Oxford\,UK\n\n\n\nCarolina Wählby\, Uppsala University\, Sweden\n\n\n\nDaudi Jjingo\, Makerere University\, Kampala\, Uganda\n\n\n\nDamien Ming\, Fleming Initiative\, UK\n\n\n\nDavid Lund\, Chalmers University of Technology\, Sweden\n\n\n\nSuzanne Ruhe-van der Weff\, Karolinska Institutet\, Sweden\n\n\n\nNina Zhu\, Imperial College London\, UK\n\n\n\nSanjiv Sharma\, University of Liverpool\, UK\n\n\n\nChristian Giske\, Karolinska Institutet\, Sweden\n\n\n\nAnna Johnning\, Chalmers University of Technology\, Sweden\n\n\n\nNick Moser\, Google DeepMind\, hosted at Fleming Initiative and Imperial College London\, UK\n\n\n\nJesus Rodriguez-Manzano\, Imperial College London\, UK\n\n\n\nDavid Fange\, Uppsala University\, Sweden \n\n\n\nJohan Bengtsson-Palme\, Chalmers University of Technology\, Sweden\n\n\n\n\nSpeaker and poster abstracts\n\n\n\nDownload the speaker and poster abstract book \n\n\n\nOrganizing Committee\n\n\n\nErik Kristiansson\, Chalmers University of Technology/University of GothenburgAlison Holmes\, Fleming InitiativeLaura Carroll\, Umeå UniversityDamien Ming\, Fleming InitiativeJohan Elf\, Uppsala UniversityAmish Acharya\, Fleming InitiativeUK Science and Technology Network \n\n\n\nQuestions can be answered by the Organizing Committee or events@scilifelab.se \n\n\n\n\n\n\n\n\nManage your registration – Improved event experience: Introducing the Lyyti Event app \n\n\n\nThis event uses Lyyti for registration. Lyyti has launched the Lyyti Event app\, where you can find your Lyyti registration\, confirmation\, and ticket. You can also edit your information until the registration deadline. \n\n\n\nTo get started\, download “Lyyti Event” and sign up with the same email address you normally use for event registrations. The app only displays events associated with the email address used to create your account. \n\n\n\nIf you register for events using multiple email addresses\, your registrations will be split across separate app accounts. For the best experience\, please use one consistent email address for all Lyyti registrations. We hope this new functionality makes it easier for you to manage your participation. URL:https://www.scilifelab.se/event/artificial-intelligence-and-data-driven-approaches-for-addressing-the-global-challenge-of-antibiotic-resistance/ LOCATION:Norrlands Nation Fest and Conference CATEGORIES:Event ATTACH;FMTTYPE=image/png:https://www.scilifelab.se/wp-content/uploads/2025/10/DDLS_EBI_promo_clean.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Stockholm:20260317T140000 DTEND;TZID=Europe/Stockholm:20260320T150000 DTSTAMP:20260317T085131Z CREATED:20260130T115232Z LAST-MODIFIED:20260317T085131Z UID:10001745-1773756000-1774018800@www.scilifelab.se SUMMARY:DDLS Research School Annual Meeting DESCRIPTION:The DDLS Research School Annual Meeting 2026 for PhDs and PIs\, including DDLS fellows. This meeting is by invitation only. DDLS PhD students are invited to participate the entire duration of the meeting (17-20 March)\, while their supervisors are invited to participate 17-18 March (afternoon-to-lunch) \n\n\n\nMeeting Highlights \n\n\n\nAll PhD students are encouraged to present a poster\, and all posters will be accepted. Senior PhD students (year 2 and later) are encouraged to also sign up for an oral presentation. \n\n\n\nPreliminary Program\n\n\n\nTuesday 17/3 \n\n\n\n14:00-15:00 Registration and coffee \n\n\n\n15:00-16:00 Welcome and Research School information \n\n\n\n16:15-18:30 PhD students: Social activity \n\n\n\n16:00-18:00 PIs: meeting with Research School directors \n\n\n\n19:00- Conference dinner \n\n\n\nWednesday 18/3 \n\n\n\n8:30-12:30 Scientific presentations by PhD students \n\n\n\n12:30 Lunch \n\n\n\n13:30-14:30 Student council meeting (Thanadol Sutantiwanichkul\, Olof Nordenström) \n\n\n\n14:30-15:30 Career workshop: Life After the PhD: Industry Insights for DDLS Researchers\, by SwedenBIO (Marjo Puumalainen) \n\n\n\n16:00-18:00 Poster session with drinks \n\n\n\n19:00 Dinner \n\n\n\nThursday 19/3 \n\n\n\n9:30-17:15: 1st year course – Open Science in the Swedish context (Ineke Luijten) \n\n\n\n9:00-17:00 2nd year course – Ethical\, legal and social implications of AI (Heidi Howard) \n\n\n\n12:30 Lunch \n\n\n\n19:30 Dinner \n\n\n\nFriday 20/3 \n\n\n\n8:15-10:15 Lecture and workshop: Exploring the principles and practice of AI (Thomas Schön) \n\n\n\n10:30-11:30 Introduction to 2026 DDLS RS courses \n\n\n\n11:30-12:15 Group work: Future courses in DDLS RS  \n\n\n\n12:30 Lunch \n\n\n\nBus transfer\n\n\n\nDetails regarding bus transfer will be sent by email to those who have signed up for bus in their registration URL:https://www.scilifelab.se/event/ddls-research-school-annual-meeting-2/ LOCATION:Skogshem & Wijk\, Hustegavägen 1\, Lidingö\, 181 24 CATEGORIES:Community END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Stockholm:20260320T100000 DTEND;TZID=Europe/Stockholm:20260320T110000 DTSTAMP:20260305T102736Z CREATED:20260305T102544Z LAST-MODIFIED:20260305T102736Z UID:10001768-1774000800-1774004400@www.scilifelab.se SUMMARY:Understanding the Molecular Mechanism of Progressive Diseases: An Integrative Omics Network Approach DESCRIPTION:Muhammad Arif \n\n\n\nNBIS and SciLifeLab Data Centre arrange an open SciLifeLab AI Seminar Series aimed at knowledge-sharing about Artificial Intelligence and applications in the Life Science community. The seminar series is open to everyone. The seminar is run over Zoom on the third Friday of the month during academic terms\, typically between 10 and 11 am\, with approx. 45 min presentation and 15 min discussion. \n\n\n\nWhen: March 20\, 10:00-11:00 \n\n\n\nWhere: Zoom http://meet.nbis.se/ainw \n\n\n\nSpeaker: Muhammad ArifDDLS fellow Precision Medicine and Diagnostics\, University of GothenburgAbstract \n\n\n\nMany common diseases\, including cardiovascular and metabolic disorders\, develop gradually through complex biological changes long before symptoms appear. This work presents a data-driven\, systems-level approach that integrates large-scale omics data with network analysis to uncover how these diseases progress. By examining interactions across thousands of genes and pathways simultaneously\, the framework identifies key molecular drivers of aging and peripheral artery disease\, reveals early warning signals\, and highlights potential therapeutic targets. This integrative strategy illustrates how combining biology with computational approaches can accelerate discovery and advance earlier\, more personalized medical care. \n\n\n\nTo stay updated\, you can join our email list by contacting ai-network@scilifelab.se  \n\n\n\n \n\n\n\n\nJoin Webinar URL:https://www.scilifelab.se/event/understanding-the-molecular-mechanism-of-progressive-diseases-an-integrative-omics-network-approach/ LOCATION:Online event via Zoom CATEGORIES:Event END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Stockholm:20260324T090000 DTEND;TZID=Europe/Stockholm:20260325T170000 DTSTAMP:20260324T100918Z CREATED:20250907T155725Z LAST-MODIFIED:20260324T100918Z UID:10001610-1774342800-1774458000@www.scilifelab.se SUMMARY:Data Driven Systems Biology: Harnessing Big Data and Systems Approaches to Decode Complex Biology DESCRIPTION:In the era of high-throughput technologies and rapidly expanding biomedical datasets\, the field of systems biology is undergoing a transformative shift. The Data-Driven Systems Biology conference brings together leading researchers who are leveraging computational\, statistical\, and systems-level approaches to integrate and interpret complex biological data. This conference will explore how multi-omics\, single-cell technologies\, and spatial profiling\, combined with advanced computational modeling and machine learning\, are reshaping our understanding of dynamic biological systems. \n\n\n\n\nThe DDLS research area symposia series aims to engage and build a strong national scientific community around the DDLS research themes. Each of the four areas arranges two symposia per year. Everyone interested in data-driven research is welcome to take part. We aim to unite researchers\, industry\, and healthcare to foster collaboration and advance the frontiers of data-driven life science. \n\n\n\nTarget Group: The DDLS research area Expert Group in Cell and Molecular Biology invites all interested in Data-driven life science to meet\, present\, interact\, and discuss Imaging in Cell and Molecular Biology. \n\n\n\nThe event will take place at Life City\, Solna\, Stockholm\, and will include presentations from international and national invited speakers and selected abstracts. The event is free of charge. \n\n\n\nDate: March 24-25\, 2026 \n\n\n\nStart on March 24: 11:00 – 12:30 Registration open. 11:30-12:30 Network lunch. The conference starts in the Lecture hall at 12:30. \n\n\n\nEnd: March 25 with a Network lunch from 12:30 to 13:30. \n\n\n\nVenue: Life City\, Solnavägen 3H i Solna. \n\n\n\nOrganized by: Arne Elofsson and Eduardo Villablanca\, DDLS Expert Group in Cell and Molecular Biology. \n\n\n\nContact: events@SciLifeLab.se \n\n\n\nProgram\n\n\n\nAgenda_DDLS_CMB_March2026_v7Download\n\n\n\nPoster session\n\n\n\nThe poster session will take place at 17:30 in Delta\, Campus Solna. Light food and drinks will be served. Please hang your poster on any empty poster board as soon as you arrive to Campus Solna after the Conference’s first day. Pins will be available. \n\n\n\nAbstract book\n\n\n\nRegistration\n\n\n\nThe registration deadline is March 10. We cannot accept any posters after deadline. To avoid empty seats\, registration will remain open with a que-list until the event begins. However\, registering after March 10 requires you to write your name on a name tag at on-site registration. Unfortunately\, we cannot accommodate allergies or dietary preferences for those who register after March 10. \n\n\n\nRegister here\n\n\n\nCancellation\n\n\n\nPlease! To minimize empty seats and food waste\, cancel your registration if you are unable to attend\, or update your lunch selection if your attendance changes. Cancel/update via the Confirmation email or email events@scilifelab.se. \n\n\n\n\n\n\n\nConfirmed speakers\n\n\n\nAlfonso Valencia\, ICREA Professor\, Barcelona Supercomputing Center\, Spain\nTitle: Data\, Digital Twins and AI \n\n\n\nBio: Prof. Alfonso Valencia is ICREA research Professor\, Director of the Life Sciences Department of the Barcelona Supercomputing Center\, Director of the Spanish National Bioinformatics Institute INB/ELIXIR-ES and coordinator of the data pillar of the Spanish Personalised Medicine intiative\, IMPaCT. His research interest is the development of Computational Biology methods and their application to biomedical problems. Some of the computational methods he developed are considered pioneering work in areas such as biological text mining\, protein coevolution\, disease networks and more recently modelling cellular systems (digital twins). He participates in some of the key cancer related international consortia. In terms of community services\, he is one of the initial promoters of the ELIXIR infrastructure\, founder of the Spanish and International Bioinformatics networks and former president of ISCB\, the international professional association of Bioinformaticians. He is Executive Editor of the main journal in the field (Bioinformatics OUP). \n\n\n\nAbstract: In this talk I will treat in some order these three topics: Data\, human Ditigal Twins and the impact of AI in biomedicine. \n\n\n\nI will address the persistent bottleneck of data access in biomedical research\, where the combination of legal and technical hurdles span the entire data lifecycle\, from discovery and access to integrated analysis. I will mention the current developments to overcome these limitations by implementing federated discovery and analysis systems designed to work across borders and heterogeneous resources. \n\n\n\nRegarding Digital Twins\, I will discuss the importance of those developments in the transition from statistical correlations\, which are standard in genomics analysis\, to mechanistic interpretations that will better align with the core objectives of molecular biology.  We are approaching this underdeveloped area with the construction of mechanistic models of cellular systems\, that are already showing promising results in critical biological systems. \n\n\n\nFinally\, I will discuss how the rapid advances of AI is influencing the work in different areas of biomedicine – including specific examples of how we combine Digital Twins and AI methods- as well as what I see as promises and limitations in this area. \n\n\n\n\nAvlant Nilsson\, KI\nTitle: From Omics to Mechanisms: Deep Learning Models of Molecular Networks for Precision Cancer Medicine \n\n\n\nBio: Avlant Nilsson is an Assistant Professor in Precision Medicine at the Department of Cell and Molecular Biology\, Karolinska Institutet\, and a group leader at SciLifeLab through the DDLS program. He holds an MSc (2014) and a PhD (2019) in Biological Engineering from Chalmers University of Technology\, where his thesis focused on the metabolism of proliferating cells\, including liver cancer. He then pursued postdoctoral research at the Massachusetts Institute of Technology (2019–2023)\, developing neural network models of signal transduction in immune cells. His research group\, currently comprising of two PhD students and two postdoctoral researchers\, develops data-driven models of molecular networks to understand how genetic alterations\, cell type of origin\, and cell–cell interactions shape cancer biology. The long-term goal of the lab is to advance computer-aided design of cancer medicine by predicting drug responses\, resistance mechanisms\, and microenvironmental interactions. \n\n\n\nAbstract: Cancer is highly heterogeneous\, spanning a multitude of genetic alterations\, cell types\, and microenvironmental contexts\, making it difficult to identify effective treatments for individual patients. Deep learning models are powerful predictive tools that could be applied to large-scale molecular data\, but their black-box nature limits their ability to generate mechanistic insight to guide therapeutic intervention. \n\n\n\nTo overcome this\, we develop biologically informed neural network models that embed known molecular interaction networks directly into the deep learning architecture. Specifically\, we construct recurrent neural network models of cells in which biomolecules are represented as nodes with connections defined by their physical interactions. These models take data with molecular causes as input (such as mutations and copy number variations) and are trained to predict omics readouts\, including gene expression\, protein phosphorylation states\, and metabolite levels. \n\n\n\nBy training models on high-throughput datasets spanning different cell types\, perturbations\, and conditions\, we can predict molecular responses in conditions that are withheld during training. We also use these models to expose non-canonical signaling events that would be difficult to identify directly from the data using standard analysis approaches. With this\, our framework offers the potential to identify novel drug targets\, biomarkers\, and to predict resistance mechanisms. \n\n\n\n\nCamilla Engblom\, KI\nTitle: Spatially resolving B cell clonal dynamics in cancer and beyond \n\n\n\nBio: Dr. Camilla Engblom is a SciLifeLab Fellow and an Assistant Professor in the Division of Immunology and Respiratory Medicine and the Department of Medicine\, Solna at the Karolinska Institutet (KI). Dr. Engblom received her PhD in Immunology from Harvard University in 2017 focusing on long-range cancer-host interactions involving myeloid cells (Dr. Mikael Pittet’s lab at Massachusetts General Hospital/Harvard Medical School). As a MSCA postdoctoral fellow in Dr. Jonas Frisén’s lab (KI)\, Dr. Engblom developed a spatial transcriptomics-based tool (Spatial VDJ) to map B cell and T cell receptors within human tissues. Located at SciLifeLab and the Center for Molecular Medicine (KI)\, the Engblom lab’s main research focus is to spatially and functionally resolve B cell clonal dynamics in cancer tissues and beyond. \n\n\n\nAbstract: B cells perform functions critical to human health\, including antibody production and antigen presentation. B cells develop\, differentiate\, and expand in spatially distinct sites across the body. B cells express clonal heritable B cell receptors (BCR) that confer exquisite molecular (i.e.\, antigen) specificity. B cell receptors can be defined by sequencing. Linking specific BCR sequences to their molecular and cellular surroundings\, i.e.\, ‘clonal niche’\, could help us understand and harness B cell activity. A technological bottleneck has been to capture the location of BCR sequences\, and by extension B cell clonal responses\, directly within tissues. We recently developed a spatial transcriptomics-based approach (Spatial VDJ) and associated computational pipelines to reconstruct B cell clonality in human tissues. Here\, we present adaptation of Spatial VDJ to murine tissue to enable preclinical studies and B cell receptor dynamics under inflammatory conditions\, including cancer. \n\n\n\n\nCarsten Hopf\, CeMOS Center for Mass Spectrometry and Optical Spectroscopy\, TH Mannheim\, Germany\nTitle: Enabling technologies for spatial metabolomics: Moving from single cells to 3D-space exploration in mixed reality \n\n\n\nBio: Carsten Hopf obtained his PhD in biochemistry from Tübingen University/Max-Planck-Institute for Developmental Biology. As an EMBO fellow in neuroscience\, he then worked at the Johns Hopkins University School of Medicine for three years\, before joining Cellzome AG\, a proteomics-focused drug discovery platform company in Heidelberg in 2001. There\, for 13 years\, he served in multiple roles in platform technology\, assay development\, drug discovery and business development\, and eventually as part of Cellzome’s leadership team until the end of 2014. \n\n\n\nSince 2005\, Carsten Hopf is a professor of bioanalytics\, proteomics and drug discovery at TH Mannheim. He currently heads TH.M’s CeMOS Research and Transfer Center that was recently selected as mass spectrometry imaging partner site of the EU-OPENSCREEN research infrastructure that SciLifeLab and KI are also parts of. Carsten is the Speaker of the M2Aind partnership for innovation in health industry in Mannheim\, and he serves on various science and innovation cluster boards. He is also an associated professor in the Medical and Biosciences Faculties of Heidelberg University and co-chair for “imaging” of the German Society for mass spectrometry (DGMS). Carsten’s research focuses on Mass Spectrometry and Optical Spectroscopy enabling technologies for health and life science\, especially spatial systems biomedicine. \n\n\n\nAbstract: MALDI-Mass spectrometry imaging (MSI)\, also referred to as spatial metabolomics\, has emerged as a powerful technology for spatially resolved analysis and visualization of lipids and metabolites in systems biology and clinical research. Advancement of MSI requires rapid progress in multiple areas such as instrumentation\, experimental workflows and computational strategies to harness big data. The talk will therefore initially review a “classic” technology show case using tissue slices: Spatial metabolomics revealed that Tet3 knockout enterocytes exhibit an unphysiological metabolic profile when compared with their wild-type counterparts suggesting that terminal cell differentiation is regulated by TET3 at the metabolic level. MSI technology has recently moved into two new directions: Single-cell metabolomics and 3D-reconstructed metabolomics. \n\n\n\nTo study proinflammatory activation of iPSC-derived microglia by bacterial lipopolysaccharide (LPS)\, we developed the PRISM-MS (PRescan Imaging for Small Molecule – Mass Spectrometry) platform for analysis and on-cell MS2 identification of low mass metabolites (<200 Da) in large cell populations. Itaconate and taurine were identified as markers for “activated” versus “resting” microglia\, respectively. Translation of single cell results to endogenous microglia in organotypic rat hippocampal slice cultures indicated that LPS-activation involves changes of the itaconate-to-taurine ratio and alterations in neuron-to-glia glutamine-glutamate shuttling. \n\n\n\nTo investigate fibroblast-colon cancer cell interactions in a simple 3D-culture model and in patient-derived organoids (PDOs)\, we built a translational 3D MSI platform as an end-to-end solution for 3D-enabling sample preparation\, 3D-reconstruction and data processing\, 3D-rendering\, and immersive user interaction with organoid big data in a mixed reality. When applied to colon cancer PDOs\, the methodology revealed that fluid-filled cysts characteristic of these PDOs were rich in purine nucleotides. \n\n\n\n\nErik Sonnhammer\, Stockholm University\nTitle: Harnessing Big Data for Network Biology with FunCoup 6 \n\n\n\nBio: Erik Sonnhammer is Professor of Bioinformatics at Stockholm University\, and previously had the same position at Karolinska Institutet\, Stockholm. He did a Ph.D. in bioinformatics at the Sanger Institute in Cambridge\, England. His research interests are in network and systems biology to understand gene and protein function on a large scale. The group has made many contributions to Gene Regulatory Network analysis\, including inference\, benchmarking\, and simulation. \n\n\n\nAbstract: FunCoup 6 is a major update to the FunCoup network database\, providing researchers with a significantly improved and redesigned platform for exploring the functional coupling interactome.  The FunCoup network database (https://FunCoup.org) contains some of the most comprehensive functional association networks of genes/proteins available. Functional associations are inferred by integrating different types of evidence combined with orthology transfer. FunCoup’s high coverage comes from using ten different types of evidence\, and extensive transfer of information between species.  \n\n\n\nKey innovations in release 6:– Enhanced regulatory link coverage: FunCoup 6 now includes over half a million directed gene regulatory links in the human network alone. 13 species in FunCoup now contain regulatory links..– The website is completely redesigned\, with updated API functionalities\, ​enhancing user accessibility and experience.– Integrated advanced online tools for network analysis: The integration of TOPAS for disease and drug target module identification\, along with network-based pathway enrichment analysis using ANUBIX\, expand the utility of FunCoup 6 for biomedical research.– New training framework: applied to produce comprehensive networks for 23 primary species and 618 additional orthology-transferred species.– FunCoup 6 is also available as a Cytoscape app. \n\n\n\nA unique feature of both the FunCoup website and the Cytoscape app is the possibility to perform ‘comparative interactomics’ such that subnetworks of different species are aligned using orthologs. FunCoup further demonstrates superior performance compared to other functional association networks\, offering researchers enhanced capabilities for studying gene regulation\, protein interactions\, and disease-related pathways.  \n\n\n\n\nJean Hausser\, KI\nTitle: Learning cellular dynamics of tissues from single-cell and spatial omics \n\n\n\nBio: Jean researches mathematical rules in the molecular tricks that cancer cells use to escape destruction by immune cells. We seek to articulate the molecular chat between immune and cancer cells into equations\, to serve as the foundation to engineer personalized cancer immunotherapy. We combine single-cell and spatial tumor profiling experiments\, machine-learning & data science\, and physics-style mathematical modeling. \n\n\n\nAbstract: Cell proliferation and death rates are central to tissue biology but measuring them in vivo remains a persistent challenge. Here we present tissue dynamics inference (TIDYI)\, which quantifies absolute cell proliferation and death rates from non-longitudinal single-cell RNAseq snapshots. TIDYI expands the capability of single-cell RNAseq to extracting the cell dynamics of healthy and pathological tissues in vivo. \n\n\n\n\nKaterina Despoina Nastou\, Statens Serum Institut\, Denmark\nTitle: Extracting protein-protein interactions from the literature with deep learning-based text mining \n\n\n\nBio: Katerina Nastou holds a Ph.D. in Bioinformatics and is a researcher at Statens Serum Institut in Copenhagen\, specializing in multi-omics data analysis\, biomedical text mining\, and systems biology. Her work focuses on applying deep learning to extract and model molecular relationships from large-scale biological data and the scientific literature. She has contributed to the STRING database\, a leading resource on protein networks\, by upgrading its text-mining channel with advanced deep learning-based language models. She also currently collaborates internationally on projects such as AIM-HEART and EPOCH. \n\n\n\nAbstract: Biomedical knowledge about molecular mechanisms is still mostly buried in the vastness of the biomedical literature. In this talk\, I will introduce a deep learning-based text-mining pipeline that reads the biomedical literature to extract protein-protein interactions and typed regulatory relations\, then plugs them into the STRING database. Powered by transformer-based language models\, the approach goes beyond simple co-occurrence to recover interactions that are mechanistically specific and often missed. I will highlight why high-quality labelled data are the real bottleneck\, how we tackle it with human-in-the-loop annotation\, and what we learned from models trained on the ComplexTome and RegulaTome corpora. Finally\, we will explore the possibilities unlocked by scaling up evidence-linked relation extraction. \n\n\n\n\nLucy Colwell\, University of Cambridge\, UK\nTitle: Data driven models that predict protein function from sequence \n\n\n\nBio: Lucy Colwell is a researcher on the Science team at Google DeepMind and a faculty member in chemistry at the University of Cambridge. Her primary interests are in the application of machine learning approaches to better understand the relationship between the sequence and function of proteins. Before moving to Cambridge Lucy received her PhD from Harvard University and held an EPSRC fellowship at the Institute for Advanced Study in Princeton\, NJ and the MRC-LMB in Cambridge. In 2018 Lucy was appointed a Simons Investigator in the Mathematical Modeling of Living Systems. Over the last few years Lucy’s team has worked closely with experts at EMBL-EBI to add millions of AI-generated protein function annotations to public databases. \n\n\n\nAbstract: Predicting protein function from amino acid sequence remains a fundamental challenge\, essential for discovering novel biological mechanisms and interpreting the functional effects of genomic mutations. By training on large curated sequence repositories\, we have developed machine learning models that map raw sequences directly to functional annotations. To provide a full-spectrum portrait of protein function\, our specialized large language models are trained to predict a suite of global functional fields (such as protein names\, GO terms\, and functional descriptions) directly from sequence.Moreover\, we present a novel approach that adapts Vision Transformer (ViT) architectures to the task of sequence segmentation\, enabling the end-to-end prediction of discrete functional domains—allowing a single model to make predictions across complex\, nested\, or discontinuous architectures. Crucially\, these systems successfully bridge large homology gaps; their predictions have been prospectively and independently experimentally validated\, demonstrating high levels of accuracy even for novel sequences that are highly distant from the training set. Finally\, we worked closely with collaborators at EMBL-EBI and across InterPro member databases\, collectively adding millions of predicted annotations to public databases and significantly expanding our functional map of the dark proteome. \n\n\n\n\nMarcel Tarbier\, Uppsala University\nTitle: That’s Gonna Leave a Mark: Computational inference of complex cell features \n\n\n\nBio: Marcel studied Biology and Bioinformatics in Germany before starting his PhD in Computational Biology at Stockholm University. In the lab of Marc Friedländer he characterized subtle gene expression variations in virtually identical cells – linking them to regulatory layers and showing their predictive potential. He moved to the lab of Vicent Pelechano at Karolinska Institute for his postdoc to investigate single-cell RNA degradation dynamics and cell lineage relationships – resulting in pioneering work which showed that cellular ancestries can be predicted using only gene expression. In 2025\, he started his lab as a DDLS fellow in precision medicine and diagnostics at Uppsala University and SciLifeLab\, focusing on computational approaches to infer complex cell features\, such as lineage and micro-environment\, to characterize cancer heterogeneity and phenotype switches. \n\n\n\nAbstract: In molecular biology and medicine the molecular composition of samples is the most utilized readout\, and transcriptomic measurements are at the heart of a myriad of break-throughs from developmental biology to pathophysiology. In complex systems\, single-cell readouts have revolutionized our understanding of molecular mechanisms. But single-cell gene expression measurements are “confounded” by complex cell features such as cell lineage relationship\, cellular micro-environment and cell cycle phase. None of these features can easily be measured alongside comprehensive single-cell readouts\, greatly limiting our ability to draw conclusions from single cell data and to put them into biological context. \n\n\n\nWe therefore develop computational tools to infer ancestry\, environment and cell cycle phase from gene expression data. These tools compute approximations of these features based on the marks they leave on the gene expression profiles. Here we present our latest advances in inferring cell lineage relationships in in situ sequencing data\, as well as the cellular microenvironment and cell-cycle phases in single-cell RNA-sequencing data using neural networks. \n\n\n\n\nMika Gustafsson\, Linköping University\nTitle: “Integrating protein interaction maps and omics for explainable health indicators” \n\n\n\nBio: Mika Gustafsson is a Professor in Translational Bioinformatics (PhD in Theoretical Physics\, 2010) at the Department of Physics\, Chemistry and Biology\, Technical Faculty\, Linköping University. Over the past ten years\, he has led a research group of five to seven members. His core expertise lies in creating and integrating network analyses with omics and has been developing machine learning methods for precision medicine. In many projects\, he has led medical doctors and molecular biologists in testing and validating omics-based findings\, working primarily on complex diseases such as multiple sclerosis. \n\n\n\nAbstract: High-dimensional omics data such as genome-wide DNA methylation capture cumulative effects of development\, environment\, lifestyle\, and disease. Yet\, most predictive models trained on these data remain difficult to interpret biologically\, limiting their utility for systems-level reasoning and clinical decision support. In this work\, we present a unifying framework that integrates protein–protein interaction (PPI) networks into deep representation learning\, yielding biologically structured\, explainable embeddings that support both multi-omic modeling and systems level health assessment. \n\n\n\nWe first show that deep autoencoders trained on large DNA methylation and transcriptomic compendia naturally organize their latent spaces into functionally coherent modules. By introducing a soft PPI prior during training\, we encourage each latent unit to correspond to localized regions of the human interactome\, without hard-wiring biological constraints. This network-guided learning produces compact\, non-redundant latent representations aligned with core biological processes such as immune signaling\, metabolism\, cell-cycle control\, and mitochondrial function. Importantly\, these structured embeddings transfer their mechanistic organization to downstream tasks: in cancer cohorts\, cross-omic translation models built on PPI-guided embeddings outperform accuracy-matched baselines while preferentially recovering known driver genes and hallmark pathways. As an intermediate example linking molecular representation to organismal phenotype\, we apply the same network-coherent embeddings to epigenetic aging. Using whole-blood DNA methylation across the human lifespan (n ≈ 18\,000)\, we develop highly accurate and interpretable neural-network age clocks that integrate data-driven embeddings with established CpG markers. These models not only achieve state-of-the-art precision but also recover age-specific epigenetic signatures enriched for example by developmental processes. Finally\, we use these representations for systems level health modeling. By defining bounded respiratory\, cardiovascular\, and metabolic health scores from clinical reference ranges and disease penalties\, and predicting them from blood methylation embeddings\, we obtain accurate and transparent health indicators that reflect both population structure and multi-system coupling. Feature attribution reveals biologically meaningful processes underlying each system\, such as airway repair and hypoxia responses for respiratory health\, endothelial remodeling for cardiovascular status\, and glucose–lipid metabolism for metabolic function. \n\n\n\nTogether\, this work demonstrates that embedding functional network knowledge directly into representation learning provides a scalable route from omics data to explainable\, system-aware health indicators. By keeping biology in the loss\, the approach remains flexible\, extensible\, and suitable for large cohorts and thereby advancing explainable AI for systems biology\, aging research\, and clinical decision support. \n\n\n\n\nSimon Koplev\, KTH\nTitle: Dynamics of immunological tissue architecture linking inflammation with colorectal cancer \n\n\n\nBio: Simon Koplev is a SciLifeLab Fellow and newly appointed group leader in computational biology at KTH Royal Institute of Technology\, Department of Gene Technology. He leads a computational biology research group investigating the fundamental principles and architecture of human tissues across organs in healthy steady-state and disease perturbations. The group is engaged with collaborative large-scale and open science efforts such as the Human Cell Atlas\, developing the next generation of reference datasets and computational methods. Simon holds a PhD in Medical Science from the University of Cambridge at the Cancer Research UK Cambridge Institute supervised by John Marioni and Martin Miller. He did his postdoc with Sarah Teichmann at the Sanger Institute and Cambridge Stem Cell Institute\, working on human single-cell and spatial studies of intestinal fibroblasts. Simon has 12 years of experience in bioinformatics research having published with more than 500 co-authors 35 peer-reviewed papers\, spanning research on cancer\, cardiovascular diseases\, fibroblasts\, gene regulatory networks\, and computational methods development using machine learning. He holds a MScEng in Systems Biology from the Technical University of Denmark\, supervised by Søren Brunak\, including 2 semesters as a Research Scholar at the Dana-Farber Cancer Institute\, Harvard Medical School. Simon began his scientific career with a BS in Biochemistry from the University of Copenhagen. \n\n\n\nAbstract: TBA \n\n\n\n\n\n\n\n\nManage your registration\n\n\n\n\nImproved event experience: Introducing the Lyyti Event app \n\n\n\nThis event uses Lyyti for registration. Lyyti has launched the Lyyti Event app\, where you can find your Lyyti registration\, confirmation\, and ticket. You can also edit your information until the registration deadline. \n\n\n\nTo get started\, download “Lyyti Event” and sign up with the same email address you normally use for event registrations. The app only displays events associated with the email address used to create your account. \n\n\n\nIf you register for events using multiple email addresses\, your registrations will be split across separate app accounts. For the best experience\, please use one consistent email address for all Lyyti registrations. We hope this new functionality makes it easier for you to manage your participation. URL:https://www.scilifelab.se/event/data-driven-systems-biology-harnessing-big-data-and-systems-approaches-to-decode-complex-biology/ LOCATION:Life City\, Solnavägen 3H\, Stockholm\, 113 64 CATEGORIES:Event ATTACH;FMTTYPE=image/png:https://www.scilifelab.se/wp-content/uploads/2025/09/DDLS_CMB_promo_clean.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Stockholm:20260507T080000 DTEND;TZID=Europe/Stockholm:20260508T170000 DTSTAMP:20260420T143604Z CREATED:20251106T123112Z LAST-MODIFIED:20260420T143604Z UID:10001660-1778140800-1778259600@www.scilifelab.se SUMMARY:Research Opportunities at the Intersection of Society\, Life Sciences\, and Technology  DESCRIPTION:A Joint Conference between DDLS\, WASP and WASP-HS \n\n\n\nUniting Sweden’s life science\, machine learning and artificial intelligence communities\, we welcome researchers from all disciplines to explore new research opportunities in a changing world.    \n\n\n\nParticipants will have the opportunity to network\, be inspired by excellent international keynote speakers\, and take part in the latest research in Sweden. In addition to plenary keynotes\, the program will offer a panel discussion\, a poster session and ample time to mingle.  \n\n\n\nPractical Details \n\n\n\nDates  \n\n\n\nMay 7-8\, 2026  \n\n\n\nVenue  \n\n\n\nUppsala Konsert & Kongress  \n\n\n\nRegistration \n\n\n\n\nRegister here\n\n\n\n\nDeadline April16 \n\n\n\nBackground \n\n\n\nWallenberg AI\, Autonomous Systems and Software Program (WASP)\, the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS)\, and Wallenberg AI\, Autonomous Systems and Software Program – Humanity and Society (WASP-HS) are collaborating through joint research projects and events with the ultimate goal of solving ground-breaking research questions across disciplines.  \n\n\n\nKeynotes\n\n\n\n\n\nMaja FjaestadAdjunct Associate Professor\, Department of Computing Science at Umeå University\n\n\n\n\n\nOlli KallioniemiResearch Director at FIMM University of Helsinki\, Professor of Molecular Precision Medicine at KI Institutet & SciLifeLab\n\n\n\n\n\nDanica KragicProfessor at the School of Computer Science and Communication at the Royal Institute of Technology\, KTH–\n\n\n\n\n\nPreliminary program \n\n\n\nThursday\, May 7\n\n\n\n09.00  Registration opens (coffee) + poster hanging10.00  Opening Remarks:Program Directors from the three Research Programs \n\n\n\n10.20 Keynote “Algorithmic rule: AI and the future of democracy”Maja Fjaestad\,Associate professor at Umeå Universitet \n\n\n\n11.00 Flash Talks: Future Ideas at the Intersection of Society\, Life Sciences & TechnologyPhD Students and Post Docs from the three Research Programs \n\n\n\n11.45 Parallel Workshops\, Session 1 \n\n\n\n12.30 Lunch \n\n\n\n14:00 Keynote “A plan for the Finnish Health Data Space (FHDS) in the AI era: Navigating  health\, data\, legal\, social and political aspects”Olli Kallioniemi\, Research Director at FIMM\, University of Helsinki\, and Professor of Molecular Precision Medicine at Karolinska Institutet and SciLifeLab \n\n\n\n14.40 Panel: Initiatives in the NordicsArto Klami\, Professor of Computer Science at University of Helsinki. Part of the Helsinki Probabilistic Machine Learning Lab\, the Finnish Center for Artificial Intelligence FCAI\, and faculty of the ELLIS Institute Finland. \n\n\n\nStine Lomborg\, Professor of Digital Communication at University of Copenhagen\, Director of the Interdisciplinary Center for Tracking & Society\, Chief Scientist at the Danish national center for AI in society (CAISA) \n\n\n\nMalcolm Langford\, Professor of Public Law\, University of Oslo and Co-Director of TRUST: Norwegian Centre for Trustworthy AI.  \n\n\n\n15.20 Coffee \n\n\n\n16.00 Parallel Workshops\, Session 2 \n\n\n\n17.00 Mingle food and Poster Session \n\n\n\n\n\n\n\nFriday\, May 8\n\n\n\n08:30 Parallel Workshops\, Sessions 3 \n\n\n\n9.40 Keynote “Perception\, Action\, Intercation in Physical AI systems”Danica Kragic\, Professor at the School of Computer Science and Communication at the Royal Institute of Technology\, KTH \n\n\n\n10.20 Coffee \n\n\n\n10.45 Presentations of funded projects\, NEST & Research Initiation GrantsTime-Resolved Imaging and Multi-Channel Evaluation of Cellular Dynamics (TIMED) – Ola Spjuth\, Professor of Pharmaceutical Bioinformatics\, Uppsala University \n\n\n\nThe 3D dynamics of the chromosome – Johan Elf\, Professor of Physical Biology\, Uppsala University \n\n\n\nMultimodal AI-based Precision Diagnostics and Decision Support for Breast Cancer (AID4BC) – Jens Sjölund\, WASP Fellow and Assistant Professor in Artificial Intelligence (AI)\, Uppsala University \n\n\n\nAI tools for mental health: Clinical Trials – Sverker Sikström\, Professor Cogntive Psychology\, Lund University & Axel C Carlsson Associated Professor\, Karolinska Institutet \n\n\n\nExplainable and Just AI in Data-Driven Disease Surveillance – Yana Litins’ka\, Associate Professor\, Lund University & Atiye Sadat Hashemi\, Associate Postdoctoral Researcher\, Lund University \n\n\n\nPersonalized medicine: Ethics and knowledge-making in data-driven medical prediction – Stefan Larsson\, Associate Professor of Technology and Social Change\, Lund University &  Markus Lingman\, Specialist Physician in Cardiology Adjunct Professor Medicine\, University of Halmstad &  Charlotte Högberg\, PhD\, Postdoc in Technology and Society\, Lund University \n\n\n\n11.45 Closing remarks \n\n\n\n12.00 End of day with lunch to go \n\n\n\n\n\n\n\nKeynote speakers\n\n\n\nMaja Fjaestad\, adjunct professor\nTitle: Algorithmic rule: AI and the future of democracyBio: Dr Maja Fjaestad worked at the EU’s European Artificial Intelligence Office in 2025 and has since returned to Sweden as a strategic advisor at Karolinska Institutet\, associate professor at AI Policy lab at Umeå University and adjunct professor at Luleå University of Technology. She holds a PhD in the history of technology from KTH\, has conducted research at the Max Planck Institute\, and is affiliated with the Institute for Futures Studies. She is also an expert coordinator at the Centre for Health Crises at Karolinska Institutet\, a member of the Royal Swedish Academy of Engineering Sciences (IVA)\, an author\, and a sought-after speaker \n\n\n\n\nDanica Kragic\, Professor KTH\nTitle: Perception\, Action\, Intercation in Physical AI systemsBio: Danica Kragic is a Professor of Computer Science at KTH. Her research is in the area of robotics\, computer vision and machine learning. She received ERC Starting Grant\, Advanced and Synergy Grants\,  Distinguished Professor Grant from the Swedish research Council and she is a Wallenberg Scholar. \n\n\n\n\nOlli Kallioniemi\, Research Director and Professor University of Helsinki\,  Karolinska Institutet and SciLifeLab\nTitle: A plan for the Finnish Health Data Space (FHDS) in the AI era: Navigating  health\, data\, legal\, social and political aspects Bio: Olli Kallioniemi is Research Director at FIMM\, University of Helsinki\, and Professor of Molecular Precision Medicine at Karolinska Institutet and SciLifeLab. Trained in medicine and clinical chemistry in Finland\, he later held tenure-track and tenured positions at NHGRI/NIH. He served as founding Director of FIMM (2007–2015)\, Director of SciLifeLab (2015–2024)\, and inaugural Director of the DDLS program (2022–2025). His research focuses on AI- and data-driven precision medicine\, particularly in hematologic and prostate cancers. He has authored over 420 publications\, holds more than 20 patents\, supervised 27 doctoral theses and over 30 postdoctoral fellows. He is an elected member of EMBO\, the Royal Swedish Academy of Sciences\, the European Academy of Cancer Sciences\, and the Nobel Assembly. \n\n\n\n\n\n\n\n\nPanelists: Initiatives in the Nordics\n\n\n\nArto Klami\nProfessor of Computer Science at University of Helsinki. Part of the Helsinki Probabilistic Machine Learning Lab\, the Finnish Center for Artificial Intelligence FCAI\, and faculty of the ELLIS Institute Finland. \n\n\n\n\nStine Lomborg\nProfessor of Digital Communication at University of Copenhagen\, Director of the Interdisciplinary Center for Tracking & Society\, Chief Scientist at the Danish national center for AI in society (CAISA) \n\n\n\n\nMalcolm Langford\nMalcolm Langford is Professor of Public Law at the University of Oslo and Co-Director of TRUST: The Norwegian Centre for Trustworthy AI. His scholarship is grounded in law\, social science\, and data science and his publications span international and comparative law\, human rights and development\, and AI and emergent technologies. Langford has won several prizes for his work on international adjudication and legal education and technology\, and he has previously led the Digital Lawyer project\, CELL Centre of Excellence in Education\, and the Investor–State Dispute Settlement Academic Forum for UNCITRAL. He also leads a new Nordforsk project (NordAId: Trustworthy AI in Public Decision Making) and infrastructure project for sensitive public data (S2-Data) and he has advised a range of governments\, international organisations and non-governmental organisations on human rights and technology. \n\n\n\n\n\n\n\n\nNEST-flashtalks\n\n\n\nOla Spjuth\, Professor of Pharmaceutical Bioinformatics \nTitle: Time-Resolved Imaging and Multi-Channel Evaluation of Cellular Dynamics (TIMED)Bio: Ola Spjuth received his PhD in Bioinformatics from Uppsala University in 2009 and completed postdoctoral fellowships at Karolinska Institutet in Stockholm and the Finnish Institute of Molecular Medicine (FIMM) in Helsinki. He is currently Professor of Pharmaceutical Bioinformatics at the Department of Pharmaceutical Biosciences\, Uppsala University. His research focuses on how AI and automation\, together with high-throughput and high-content molecular and cellular profiling technologies\, can accelerate drug discovery and address complex challenges in pharmacology and toxicology. \n\n\n\n\nJohan Elf\,  Professor Uppsala University\nTitle: The 3D dynamics of the chromosomeBio: Johan has pioneered single-molecule fluorescence microscopy in living cells. This work has been complemented by the development of microfluidics\, synthetic biology\, and computational analysis tools. His most significant innovations include optical pooled screening and phenotypic antibiotic susceptibility testing at the level of individual bacteria.  \n\n\n\n\nJens Sjölund\, WASP Fellow at Uppsala University\nTitle: Multimodal AI-based Precision Diagnostics and Decision Support for Breast Cancer (AID4BC)Bio: Jens Sjölund is an assistant professor in AI at Uppsala University\, WASP Fellow\, and ELLIS member. His research is in machine learning and optimization\, with applications across science and medicine. He previously worked as a senior research scientist at Elekta\, where his dose optimization work formed the basis for Leksell Gamma Knife Lightning. \n\n\n\n\n\n\n\n\nResearch Initiative Grants (RIG) Flashtalks\n\n\n\nSverker Sikström\, professor cogntive Psychology & Axel C Carlsson\, Associated professor \nTitle: AI tools for mental health: Clinical Trials  \n\n\n\nBio1: Sverker Sikström is Professor of Cognitive Psychology at Lund University\, and the founder and scientific lead of TalkToAlba\, specializing in language based psychometrics and AI for mental health . He is a serial founder and recipient of innovation awards such as Lund University & Sparbanken Finns Innovations Prize and Venture Cup’s Startup of the Year. His academic work has been cited over 7\,000 times\, with an h index of 33.Bio2: Axel C Carlsson conducts broad research on diseases in primary care\, with projects ranging from early detection of cancer\, cognitive testing and machine learning for early identification of dementia\, to studies on high blood pressure and cardiovascular risk in the population\, post-COVID syndrome\, and mental health. \n\n\n\n\nYana Litins’ka\, Associate professor & Atiye Sadat Hashemi\, Associate Postdoctoral Researcher \nTitle: Explainable and Just AI in Data-Driven Disease Surveillance \n\n\n\nBio1: Yana Litins’ka is an Associate Professor and Senior Lecturer in Public Law at Lund University. She holds an LL.D. degree in Medical Law and has been appointed as Associate Professor in Medical Law at Uppsala University. Her research sits at the intersection of health law\, public health\, and human rights\, with a particular focus on how legal frameworks shape the protection of vulnerable groups. A central thread in her work concerns autonomy in healthcare and the boundaries of coercion and voluntariness. She also engages with rights-based perspectives on access to healthcare\, including migrants’ access to health services and the rights of persons with disabilities. Yana works on a range of public health topics within law\, including infectious disease control measures and preparedness for future health emergencies\, examining\, for example\, the legal regulation of vaccination\, the permissibility of restrictions on freedom of movement and privacy for public health purposes\, and requirements for AI-based epidemiological monitoring.Bio2: Atiye Sadat Hashemi received her Ph.D. in Electronic Engineering from Semnan University and was a visiting Ph.D. researcher at the Chair of Signal Processing and Machine Learning\, Institute for Communications Technology at Technische Universität Braunschweig in Germany during 2020–2021. She was a postdoctoral fellow in Center for Applied Intelligent Systems Research at Halmstad university and currently she is an associate postdoctoral researcher in AI in Medicine at Lund University\, Sweden\, where she is the Principal Investigator of a Research Initiation Grant from SciLifeLab and serves as Co-Principal Investigator on a grant from Swedish Research Council (VR) focused on the application of artificial intelligence in infectious diseases. Her research lies at the intersection of artificial intelligence and healthcare\, with particular emphasis on disease outbreak surveillance\, privacy-preserving machine learning\, and adversarial learning methods. \n\n\n\n\nStefan Larsson\, Associate Professor of Technology and Social Change\, Markus Lingman\, Specialist Physician in Cardiology\,  Adj. Professor Medicine & Charlotte Högberg\, PhD\, Postdoc in Technology and Society\nTitle: Personalized medicine: Ethics and knowledge-making in data-driven medical prediction \n\n\n\nBio1: Stefan Larsson  is a social science technology researcher at the Department of Technology and Society\, Lund University in Sweden\, where he leads a research group on AI and society that do interdisciplinary studies on norms\, ethics and governance issues linked in the human-AI/robotics intersection.Bio2: Markus Lingman is a cardiologist\, chief strategy officer and adjunct professor of medicine at University of Halmstad and affiliations at the Sahlgrenska Academy and Karolinska Institutet. His research has a focus on applied AI in healthcare and medicine leveraging real-world data. Bio3: Charlotte Högberg is a postdoctoral research fellow at The Department of Technology and Society\, Lund University\, specialized in Science and Technology Studies and medical AI. Her work concerns practices\, ethics and epistemologies of the development and use of AI in medicine\, healthcare and the public sector.  \n\n\n\n\n\n\n\n\nWorkshop sessions\n\n\n\nAlongside plenary talks\, the conference will feature parallel interactive workshops addressing a wide range of interdisciplinary themes. Together\, these sessions will explore how advances in AI and data science are reshaping research practices\, governance frameworks\, and collaboration across domains\, from biomedical discovery to societal impact. \n\n\n\nAI for Science! An interactive discussion on a new initiative\nWorkshop Organizer: Salla Franzén \n\n\n\nDescription: This workshop aims at creating awareness and collecting feedback around a new initiative to support academic researchers with AI competence through a new company called AI4S AB (AI for Science)\, funded by Knut and Alice Wallenberg Foundation. We offer AI support to academic researchers with ongoing grants from the three largest Wallenberg Foundations for up to 6 months full time. \n\n\n\nSession 1 \n\n\n\n\nWhat is the future of AI-supported precision medicine? Scrutinizing personalized care\, equal treatment and disruption of knowledge\nWorkshop Organizer: Charlotte Högberg \n\n\n\nDescription: The current development of AI-supported precision medicine\, and personalization of medical knowledge and treatment\, raises concerns about ethics and fair representation. This interdisciplinary workshop examines questions of ethics and knowledge in AI-supported precision medicine\, including fairness\, prioritization\, and changing knowledge practices. The goal is to produce a discussion paper identifying policy proposals and issues in need of further cross-disciplinary discussion. \n\n\n\nSession 1 \n\n\n\n\nLarge Language Models in Conflict: Knowledge\, Legitimacy\, and AI\nWorkshop organizer:  Mais Qandeel \n\n\n\nWorkshop Description: Large language models contribute to the production of knowledge\, such as ideas and recommendations. The accuracy and reliability of this knowledge remain questionable. What if these models contribute to the mass killing of people through mass surveillance? We ask: what does LLMs’ production of knowledge reveal about the ethical and legal dimensions of their use\, given the untrustworthiness of their outputs? The discussion follows the ‘Jonsered model’Session 1 \n\n\n\n\nUnpacking Technology Through Interdisciplinary Reflection\nWorkshop Organizer: Derya Akbaba \n\n\n\nAbstract: In this collaborative and hands-on workshop\, we will introduce and lead participants through a series of reflective exercises known as the implosion method. This exercise outlines social and historical considerations around the responsibilities\, concerns\, and attentions of researchers working on and with technology. Workshop attendees are expected to learn a new method for reflecting on the socio-technical impacts of their research and making connections across disciplines. \n\n\n\nSession 1 \n\n\n\n\nZero-Click Futures: Safeguarding Knowledge Pluralism in the Age of Generative AI\nWorkshop Organizer: Selcen Ozturkcan \n\n\n\nWorkshop Description: Generative AI is reshaping how knowledge is accessed\, synthesized\, and trusted. This interactive workshop explores the rise of zero-click information environments and their risks for transparency\, diversity\, and epistemic justice. Participants will collaboratively design actionable principles for building responsible AI systems that protect knowledge pluralism\, informational autonomy\, and public trust. \n\n\n\nSession 1 \n\n\n\n\nFoundation models on European biomedical and healthcare data: ethical\, legal\, and technical pathways to life-course precision health\nWorkshop Organizer: Clemens Wittenbecher \n\n\n\nWorkshop description: This workshop explores how AI foundation models applied to biomedical and health data can enable personalized prevention and healthcare\, considering critical questions of governance\, transparency\, bias\, and clinical integration. We will jointly identify current technical\, social\, and ethical challenges to leverage foundation models for responsible\, data‑driven healthcare in Europe and discuss them with an expert panel. \n\n\n\nSession 2 \n\n\n\n\nLegal consciousness in the tech community\nWorkshop Organizer: Katalin Kelemen \n\n\n\nWorkshop Description: How do tech professionals navigate law in real-world design choices? This workshop uses practical scenarios and small-group discussions to examine how programmers interpret\, use\, or resist legal norms alongside technical and organisational expectations. The session invites computer scientists\, legal scholars\, and social scientists to reflect on tensions\, strategies\, and pathways toward more legally conscious technology development. \n\n\n\nSession 2 \n\n\n\n\nSciLifeLab OMERO: A Collaborative HPC-Enabled Platform for Data-Driven Bioimaging Research\nWorkshop Organizer: Sonja Mathias \n\n\n\nDescription: This workshop introduces SciLifeLab’s national OMERO service – a tool to bridge the gap between data producers and methods developers by enabling collaborative access to (bio)imaging data sets. Built on the globally recognized\, open-source\, data management platform OMERO1 for the visualization\, management\, and sharing of biological microscopy images\, SciLifeLab OMERO will offer active data storage connected to HPC resources. \n\n\n\nSession 2 \n\n\n\n\nAI-Ready Data to enable collaborations across fields\nWorkshop Organizer: Data Centre\, (Arnold Kochari\, Alma Nilsson\, Angela Fuentes Pardo) \n\n\n\nWorkshop Description: Modern machine learning methods open up opportunities for new discoveries\, especially when researchers collaborate across fields. For example\, a biologist may have collected a novel dataset and collaborate with an ML engineer to build new models. In this session\, we will focus on AI-ready data – what it means in practice and how to prepare datasets so they can be shared\, understood\, and reliably used for AI applications. \n\n\n\nSession 2 \n\n\n\n\nThe Data of Circularity: Governing AI\, Transparency\, and Compliance in the Digital Product Passport (DPP)\nWorkshop Organizer: Selcen Ozturkcan \n\n\n\nWorkshop Description: As the EU introduces the Digital Product Passport (DPP)\, this interactive workshop explores how product data can enable genuine circularity—beyond data-driven greenwashing—across production\, post-production\, and market use. Bringing together perspectives from AI\, cybersecurity\, governance\, and sustainable branding\, the workshop explores the technical and organizational challenges in building trustworthy\, transparent\, and compliant product data systems. \n\n\n\nSession 2 \n\n\n\n\nWhat do I need for successful interdisciplinary research? Education as a collaborative exercise\nWorkshop Organizer: Kristen Schroeder \n\n\n\nWorkshop description: In this interactive workshop we will discuss what makes successful interdisciplinary research\, including trust and leadership\, fostering an environment where mistakes can be made\, and creating a shared working language. Interdisciplinary groups will then create a mock educational experience on a challenging topic to explore how interdisciplinary collaboration in education can prepare young researchers to face global challenges. \n\n\n\nSession 3 \n\n\n\n\nUses and understandings of synthetic data in DDLS domains – a conversation about generation methods and use cases across DDLS\, WASP & WASP-HS\nWorkshop Organizer: Ericka Johnson\, Francis Lee\, Ylva Söderfeldt \n\n\n\nWorkshop Description: Synthetic data can mean widely varying things\, which makes defining and evaluating it difficult. Likewise\, it sometimes misaligns with other values\, like objectivity\, reproducibility and transparency. This workshop will discuss what synthetic data is\, why it is useful\, and what it does to the science it becomes embedded in. We will engage in hands-on\, analogue activities to facilitate collaborative discussion. \n\n\n\nSession 3 \n\n\n\n\nThe Art of Human-AI Collaboration and Teaming Research\nWorkshop organizer: Helena Lindgren \n\n\n\nWorkshop Description: The art of Human-AI Teaming research is discovering and addressing the complications that matter\, which unfold in real practice. New theory\, tools and methods are required to capture the rich multi-agent setting including humans. The workshop is an excellent opportunity to expand on this research as a joint effort across expertise in the broad communities of WASP and WASP-HS. \n\n\n\nSession 3 \n\n\n\n\nWhat Is Adaptation? Bridging Life Sciences\, Neuro-AI\, and Machine Psychology\nWorkshop Organizer: Robert Johansson \n\n\n\nWorkshop Description: Adaptation is central in biology\, neuroscience\, psychology\, and AI – but often means different things. In this workshop\, we compare key definitions and methods\, from behavioral change to predictive learning and algorithmic information dynamics. Participants will map shared questions\, clarify key research gaps\, and identify promising cross-disciplinary directions at the intersection of society\, life sciences\, and technology. \n\n\n\nSession 3 \n\n\n\n\nWASP Research Arenas – A Bridge Between Industry and Academia\nWorkshop Organizer: Ola Engkvist \n\n\n\nWorkshop Description: The workshop aims to provide an introduction to the WASP Research Arenas (WARA)\, especially for researchers within DDLS and WASP‑HS who may not yet be familiar with WARA. WARA functions as a bridge between research and industry and offers increased research impact and potential for industrially significant breakthroughs. It provides a unique opportunity to validate and refine scientific theories in real‑world settings relevant to industry. \n\n\n\nSession 3 \n\n\n\n\n\n\n\n\nIf you’re already in Uppsala for the conference\, don’t miss the chance to start your visit with Testa Center’s Demo Day on May 6. This hands‑on event offers researchers a close look at how digital technologies are reshaping modern bioproduction. \n\n\n\nOrganized within WARA Medicine\, the Demo Day brings together researchers interested in exploring new methods\, exchanging insights\, and identifying opportunities for collaboration in the bioprocessing domain. It’s a great opportunity to see how your technical\, scientific\, or computational expertise can contribute to the next generation of bioprocess innovation. \n\n\n\nWhen: May 6Where: Testa Center\, Danmarksgatan 11\, 75323 UppsalaRead more and register URL:https://www.scilifelab.se/event/research-opportunities-at-the-intersection-of-society-life-sciences-and-technology/ LOCATION:Uppsala Konsert & Kongress\, Vaksala torg 1\, Uppsala\, 75331\, Sweden CATEGORIES:Event ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2025/11/DDLS.jpg ORGANIZER;CN="Data-Driven Life Science @ SciLifeLab":MAILTO:ddls@scilifelab.se END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Stockholm:20260511T120000 DTEND;TZID=Europe/Stockholm:20260511T160000 DTSTAMP:20260507T093518Z CREATED:20260225T223013Z LAST-MODIFIED:20260507T093518Z UID:10001766-1778500800-1778515200@www.scilifelab.se SUMMARY:SciLifeLab Uppsala Spring Mini-Symposium DESCRIPTION:Dynamic Landscapes: Mapping Interactions from Molecules to Ecosystems\n\n\n\nWe’re thrilled to invite you to our second SciLifeLab Uppsala Spring Mini-Symposium in Navet\, BMC\, on the 11th of May. \n\n\n\nA half-day meeting dedicated to inspiring scientific talks\, meaningful interactions\, and collaborative discussions. (Spots are limited to 90p.) \n\n\n\nPhD students and postdocs are especially encouraged to attend and present their work – it’s an excellent opportunity to expand your network and spark future collaborations! \n\n\n\nEVENT TIME & DATE: 11th of May 2026\, 12:00 – 16:00 with mingle and poster session afterwards. \n\n\n\nORGANIZER: SciLifeLab and DDLS Fellow and Alumni groups \n\n\n\nProgram\n\n\n\n12:00-12:45Network Lunch12:45-14:15Session 1: Cellular & Molecular LandscapesBurçin Yildirim (James lab)Ioanna Tsiara (Globisch lab)Paarkavi Udayakumar (Teleki lab)Maria Letizia Di Martino (Sellin lab)Aline Pfefferle (new SciLifeLab fellow)14:15-14:45Coffee break14:45-16:00Session 2: Environmental & Evolutionary LandscapesIoannis Mystakidis (Tarbier lab)Pascal Milesi (SciLifeLab fellow)Elena Quintero (Braga lab\, SLU)Ezgi Mehmetoglu (Lundberg lab\, SLU)Flash talks16:00-17:00Poster session and mingle\n\n\n\n \n\n\n\nRegistration\n\n\n\nThe seats are limited to 92p. \n\n\n\nThe registration will close on April 28. Please respect the deadline. After the deadline\, we can not accommodate any special food requirements and the order for catering is fixed. \n\n\n\nWaiting list: If we reach full capacity\, a waiting list will be activated. Sign up for the waiting list\, and you will automatically receive an email when a spot becomes available. You must accept to secure the spot. If you decline\, the offer will go to the next person on the waiting list. \n\n\n\nCancellation: Since seats are limited\, please cancel your registration if you are unable to attend. \n\n\n\nRegister here\n\n\n\n \n\n\n\n\nImproved event experience: Introducing the Lyyti Event app \n\n\n\nThis event uses Lyyti for registration. Lyyti has launched the Lyyti Event app\, where you can find your Lyyti registration\, confirmation\, and ticket. You can also edit your information until the registration deadline. \n\n\n\nTo get started\, download “Lyyti Event” and sign up with the same email address you normally use for event registrations. The app only displays events associated with the email address used to create your account. \n\n\n\nIf you register for events using multiple email addresses\, your registrations will be split across separate app accounts. For the best experience\, please use one consistent email address for all Lyyti registrations. We hope this new functionality makes it easier for you to manage your participation. URL:https://www.scilifelab.se/event/scilifelab-uppsala-spring-mini-symposium-2/ LOCATION:Navet\, SciLifeLab Uppsala\, SciLifeLab Uppsala\, BMC C11\, Husargatan 3\, Uppsala\, 75237\, Sweden CATEGORIES:Event ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2025/10/Navet-Uppsala-entrance-scaled.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Stockholm:20260518T090000 DTEND;TZID=Europe/Stockholm:20260518T120000 DTSTAMP:20260512T112909Z CREATED:20260512T112543Z LAST-MODIFIED:20260512T112909Z UID:10001824-1779094800-1779105600@www.scilifelab.se SUMMARY:DDLS seminars at the Swedish Museum of Natural History DESCRIPTION:9.00     Tobias Baril\, Transposable Elements: Genome parasites\, or genome architects? \n\n\n\n9.30      Fernando Domingues Tria\, From Gene Filtering to Gene Integration in Phylogenomics \n\n\n\n10.00    Coffee break \n\n\n\n10.30    Zhen Li\, The evolutionary logic of gene loss \n\n\n\n11.00    Bethany Allen\, How has biodiversity changed over deep time? \n\n\n\nZoom link to meeting URL:https://www.scilifelab.se/event/ddls-seminars-at-the-swedish-museum-of-natural-history/ LOCATION:Online event via Zoom CATEGORIES:Event END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Stockholm:20260605T103000 DTEND;TZID=Europe/Stockholm:20260605T120000 DTSTAMP:20260515T101044Z CREATED:20260515T095346Z LAST-MODIFIED:20260515T101044Z UID:10001827-1780655400-1780660800@www.scilifelab.se SUMMARY:One Health on Two Wheels: From Thessaloniki to Stockholm to Tackle Antimicrobial Resistance and Build Microbiology Capacity in Mbujimayi\, DRC DESCRIPTION:Antimicrobial resistance (AMR) is a growing global health threat with major epidemiological consequences across human\, animal\, and environmental health. \n\n\n\nThis lecture will first outline the current global burden and trends of AMR. It will then explore key drivers of rising resistance through a One Health lens\, explaining how interconnected systems—medicine\, veterinary practice\, agriculture\, and the environment—contribute to its emergence and spread. Particular attention will be given to low-resource settings\, where the impact of AMR is greatest and diagnostic capacity remains limited. Field data from Nigeria\, including work conducted with Médecins Sans Frontières (MSF)\, will illustrate these challenges. \n\n\n\nFinally\, the lecture presents a trans-European bicycle initiative from Thessaloniki to Stockholm\, designed to foster cross-sector dialogue along the North–South AMR gradient while raising funds through a crowdfunding campaign to support the implementation of microbiology laboratory capacity in Mbujimayi\, Democratic Republic of Congo. \n\n\n\nSpeaker\n\n\n\nProf. Dimitri Van der Linden\, pediatric infectious diseases specialist\, specialized pediatrics service\, Pediatric Department\, Cliniques universitaires Saint-Luc\, Brussels\, Belgium. \n\n\n\nRegistration\n\n\n\nRegister here\n\n\n\nMore information\n\n\n\nVENUE: BioClinicum\, J3:11\, Birger & Margareta Blombäck. Solnavägen 30\, 171 64 Solna \n\n\n\nORGANIZER: DDLS Fellow Andrea Fossati\, KI. Susanna Brighenti\, KI. \n\n\n\nCONTACT FOR QUESTIONS: Andrea.fossati@scilifelab.se URL:https://www.scilifelab.se/event/one-health-on-two-wheels-from-thessaloniki-to-stockholm-to-tackle-antimicrobial-resistance-and-build-microbiology-capacity-in-mbujimayi-drc/ LOCATION:Bioclinicum\, Solnavägen 30\, Solna\, 171 64 CATEGORIES:Event END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Stockholm:20260817T080000 DTEND;TZID=Europe/Stockholm:20260819T170000 DTSTAMP:20260507T093224Z CREATED:20260420T114855Z LAST-MODIFIED:20260507T093224Z UID:10001807-1786953600-1787158800@www.scilifelab.se SUMMARY:4th BioSyst.EU Meeting 2026 DESCRIPTION:The 4th BioSyst EU meeting is taking place in Uppsala Sweden\, 17th – 19th August 2026\, and will be organised by the Swedish Systematics Association. The 3-day conference celebrates European systematics and biodiversity research at its origin. An excursion directly after the conference rounds off the program with keynotes and symposia.  \n\n\n\nThe Conference is supported by the KAW initiative DDLS Evolution and Biodiversity research area. Contact DDLS Fellow Tobias Andermann and the DDLS Expert Group. \n\n\n\nThis conference will bring the European Biodiversity and Systematics community together at its Linnaean origin in Uppsala. \n\n\n\nKeynote speakers\n\n\n\nThere will be three main keynote speakers with internationally leading research profiles: Sandra Knapp\, Fredrik Ronquist and Paul Hebert. The latter is the father of DNA barcoding\, coming all the way from Canada. The journal Systematics and Biodiversity will also publish a special collection of articles arising from the conference! \n\n\n\nProgram\n\n\n\nDuring the conference\, there will be the following symposia: \n\n\n\n\nTrait Evolution\, Lineage Diversification and Historical Biogeography in a Big Data era. Confirmed speaker: Isabel Sanmartín\, Madrid.\n\n\n\nEvolution in Deep Time: Fossils\, Phylogenies\, and Reconstructing the History of Life\n\n\n\nAI and Automated Species Identification: Assets and Drawbacks\n\n\n\nAdvances in Museomics for Biosystematics and Taxonomy\n\n\n\nAre biodiversity and ecosystems the same thing?\n\n\n\nNatural History Collections and their actors\n\n\n\nTaxonomic treatments and revisions and their accessibility in biodiversity databases\n\n\n\nData-driven research in evolution and biodiversity\n\n\n\nEnvironmental DNA for species discovery and biodiversity inventory\n\n\n\nSpeciation\, Adaptation and Phylogeography: Microevolutionary Processes Shaping Biodiversity\n\n\n\nOpen session\n\n\n\n\nEarly bird before May 31\n\n\n\nRegistration is open and it costs only 1 500 SEK for students registering before 31 May (BSc\, MSc and PhD students). For everyone else the early-bird price is 2 500 SEK. \n\n\n\nEarly-career Day\n\n\n\nThere will be an early-career event the day before\, free of charge – we have two international speakers this time\, Seraina Klopfstein coming from Switzerland and Pablo Muñoz-Rodríguez coming from Spain. The early career event will be followed by some mingling and discussions\, and dinner/beers. So don’t miss out! \n\n\n\nImportant dates!\n\n\n\nAbstract submission ends 31st May 2026Early bird registration ends 31st May 2026Registration ends 17th July 2026 \n\n\n\nMore information and Registration\n\n\n\nRegistration and event website: https://www.trippus.net/BioSyst2026 \n\n\n\nAbout BioSyst EU: https://biosyst.eu/ URL:https://www.scilifelab.se/event/4th-biosyst-eu-meeting-2026/ LOCATION:Ekonomikum\, Kyrkogårdsgatan 10\, 753 12\, Uppsala CATEGORIES:Event ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2026/04/BioSystEU_2026_Poster_small-scaled.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Stockholm:20260821T100000 DTEND;TZID=Europe/Stockholm:20260821T110000 DTSTAMP:20260810T105026Z CREATED:20260810T105025Z LAST-MODIFIED:20260810T105026Z UID:10001855-1787306400-1787310000@www.scilifelab.se SUMMARY:“The times they are a-changin”*: from transparency\, to safety and scientific integrity\, how is the race to AGI changing our scientific values? DESCRIPTION:Heidi Howard \n\n\n\nNBIS and SciLifeLab Data Centre arrange an open SciLifeLab AI Seminar Series aimed at knowledge-sharing about Artificial Intelligence and applications in the Life Science community. The seminar series is open to everyone. The seminar is run over Zoom on the third Friday of the month during academic terms\, typically between 10 and 11 am\, with approx. 45 min presentation and 15 min discussion. \n\n\n\nWhen: August 21\, 10:00-11:00 \n\n\n\nWhere: Zoom http://meet.nbis.se/ainw \n\n\n\nSpeaker: Heidi HowardSenior Researcher\, Industrial Biotechnology\, Chalmers and ELSI lead at Scilifelab and DDLS \n\n\n\nAbstract \n\n\n\nThe general question I am currently working on is: where do values like transparency\, accountability\, scientific integrity\, replicability of science\, respect for copyright\, respect for privacy\, and respect for the planet fit into the current rush to develop Artificial General Intelligence?  \n\n\n\nIt does not take graduate work in ethics to see that in the last four years since OpenAI launched GPT-3.5 and that a number of other big and not-so-big players have spent loads of money\, time\, and GPUs/CPUs on developing large language models (LLMs\, some supposedly on their way to AGI)\,  that  these values are being eroded. Many (most?) of the decisions are being taken by a few companies holding an inordinate amount of power\, and these shifts are potentially being normalised by expert and lay publics who may not know or feel they have any influence to push against the wave of change.  Based on examples taken from past (public) work developing evaluations of large language models for bioweapons information risks and some of my current work on the public discourse around the benefits and risks of developing A(G)I\, this presentation will address scientific and ethical details that are easily overlooked in the current A(G)I rush. \n\n\n\n*song title by Dylan B/Zimmerman RA. The Times they are a-changin’\, 1964\, \n\n\n\n \n\n\n\nTo stay updated\, you can join our email list by contacting ai-network@scilifelab.se. \n\n\n\n\nJoin Seminar URL:https://www.scilifelab.se/event/the-times-they-are-a-changin-from-transparency-to-safety-and-scientific-integrity-how-is-the-race-to-agi-changing-our-scientific-values/ LOCATION:Online event via Zoom CATEGORIES:Event END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Stockholm:20261002T083000 DTEND;TZID=Europe/Stockholm:20261002T163000 DTSTAMP:20260911T115249Z CREATED:20260316T134245Z LAST-MODIFIED:20260911T115249Z UID:10001772-1790929800-1790958600@www.scilifelab.se SUMMARY:AI Frontiers in Life Sciences: From Models to Meaning DESCRIPTION:Image by Andreas Bergfeldt \n\n\n\nDate and time: October 2\, 2026 at 8.30-16.30 CET \n\n\n\nLocation: Humanistiska teatern – Uppsala\, onsite and livestream via Zoom \n\n\n\nThe AI Frontiers in Life Sciences: From Models to Meaning symposium will bring together experts in artificial intelligence (AI) and life sciences to explore emerging directions\, challenges\, and opportunities for AI in life science research. \n\n\n\nThe symposium will feature presentations\, demonstrations\, and panel discussions with leading international and Swedish experts. The event is intended for researchers\, infrastructure experts\, and professionals interested in AI-driven life science research. Discussions will also provide input to the continued development of the SciLifeLab AI Strategy and ongoing and planned activities across SciLifeLab. \n\n\n\nFurther details\, including the full programme\, will be announced soon. \n\n\n\nRegistration: \n\n\n\nRegistration \n\n\n\nParticipation is free of charge and places are allocated on a first-come\, first-served basis. Refreshments and lunch will be provided for on-site participants. \n\n\n\nIn-person places are limited. If in-person registration is full\, you are welcome to join the waiting list or register to attend the event via the Zoom livestream. \n\n\n\nIf you register to join the talks via Zoom\, you will receive the livestream link on the day of the event. Please note that the talks will be streamed live only and will not be recorded or made available afterwards. \n\n\n\nRegister Here\n\n\n\nWaiting List \n\n\n\nIf we reach full capacity for in-person attendance\, a waiting list will be activated. If you join the waiting list\, you will automatically receive an email if a place becomes available. \n\n\n\nYou will need to accept the offer to secure your place. If you decline\, the place will be offered to the next person on the waiting list. \n\n\n\nCancellation \n\n\n\nTo help us minimise empty seats and food waste\, please cancel your registration if you are no longer able to attend the event. If a waiting list is active\, this will allow us to offer your place to another participant. Timely cancellations also help us avoid unnecessary costs for refreshments and lunch. \n\n\n\nIf you have questions\, please contact datacentre@scilifelab.se \n\n\n\nSpeakers: \n\n\n\nAnna Kreshuk\, EMBL\nInterim Head of Cell Biology and Biophysics Unit \n\n\n\nAnna Kreshuk is a Group Leader and Senior Scientist at the European Molecular Biology Laboratory (EMBL) in Heidelberg\, where she develops computer vision methods for the analysis of microscopy images. She contributes to open-source tools including ilastik and PlantSeg and is an ELLIS Scholar and scientific co-coordinator of the Horizon Europe project AI4Life. She has served as Interim Head of EMBL’s Cell Biology and Biophysics Unit since 2024. \n\n\n\nWeb: Kreshuk Group \n\n\n\n\nFlorian Jug\, Human Technopole\nHead of Computational Biology Research Centre – Multimodal AI Across Scales\, Computational biology\, Research Group Leader\,  \n\n\n\nDr. Florian Jug holds a PhD in Computational Neuroscience from the Institute of Theoretical Computer Science at ETH Zurich. His research aims at pushing the boundary of what AI and machine learning can do to better analyze and quantify biological data. At HT\, Dr. Jug covers the full breadth of bio-image computing\, from research on novel methods for computer vision and machine learning\, all the way to offering bio-image analysis as a service. \n\n\n\nWeb: Jug Group \n\n\n\n\nHeidi Howard\, Chalmers University of Technology & SciLifeLab\nBioethicist and ELSI Lead \n\n\n\nHeidi Howard is a bioethicist and ELSI (Ethical\, Legal and Social Issues) Lead at SciLifeLab and the Data-Driven Life Science (DDLS) programme. Her work focuses on the ethical\, legal and social implications of data-driven life science and AI\, with experience in AI ethics\, policy and safety. \n\n\n\n\nKadi Liis Saar\, Recursion\nScientific Leader and Associate Principal Scientist\, Recursion\, a company focused on AI-driven solutions in drug discovery. \n\n\n\nDr. Kadi Liis Saar is the Scientific Leader and Associate Principal Scientist\, Computational Biology & Data Science at Recursion\, and elected member of Estonian Young Academy of Science. Dr. Saar is an interdisciplinary scientist and inventor with a background in chemical engineering and biotechnology (BA & MEng) and biophysical chemistry (PhD University of Cambridge 2018). Previously at Transition Bio\, she was a Junior Research Fellow at St. John’s College\, University of Cambridge and a Schmidt Science Fellow working between the Centre for Misfolding Diseases and the Maxwell Centre 2018-2022. \n\n\n\nWeb: Recursion \n\n\n\n\nSamuel Kaski\, ELLIS Institute Finland\nFounding Director\, ELLIS Institute Finland \n\n\n\nSamuel Kaski is the founding director of ELLIS Institute Finland and leads the Finnish Center for Artificial Intelligence (FCAI). He is Professor of Machine Learning at Aalto University and Professor of Artificial Intelligence at the University of Manchester. His research focuses on probabilistic machine learning and collaborative AI\, with applications in health\, medicine and biology. \n\n\n\nWeb: Kaski Lab \n\n\n\n\nSebastian Lobentanzer\, Helmholtz Center Munich \nPrincipal Investigator\, Computational Health Center \n\n\n\nSebastian Lobentanzer is a PI at the Computational Health Center at Helmholtz Center Munich since 2025\, and in affiliation with the Open Targets group at the European Bioinformatics Institute (EMBL-EBI) since 2024. Sebastian serves as the head of computational biology at the German Center for Diabetes Research. He is the author of BioCypher – https://biocypher.org/ \, BioChatter – https://biochatter.org/ projects. \n\n\n\nWeb: Lobentanzer Lab \n\n\n\n\nSymposium Programme \n\n\n\n\n\n\n\nHumanistiska teatern \n\n\n\n\n\n\n\n\n\n\n\n\n\nOrganisers: SciLifeLab Data Centre datacentre@scilifelab.se URL:https://www.scilifelab.se/event/ai-frontiers-in-life-sciences-from-models-to-meaning/ LOCATION:Humanistiska teatern\, Uppsala\, Thunbergsvägen 3C\, Uppsala\, 75238\, Sweden CATEGORIES:Event ATTACH;FMTTYPE=image/png:https://www.scilifelab.se/wp-content/uploads/2026/03/AI-Frontiers-Feature-Image.png ORGANIZER;CN="SciLifeLab Data Centre":MAILTO:datacentre@scilifelab.se END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Stockholm:20261012T120000 DTEND;TZID=Europe/Stockholm:20261014T120000 DTSTAMP:20260507T093008Z CREATED:20260414T090237Z LAST-MODIFIED:20260507T093008Z UID:10001802-1791806400-1791979200@www.scilifelab.se SUMMARY:WASP-HS & DDLS: Interdisciplinary Workshop DESCRIPTION:WASP-HS & DDLS: Joint Workshop at Sigtunastiftelsen\, 12–14 October \n\n\n\nThis interdisciplinary workshop brings together a carefully selected group of 25 researchers from diverse fields to exchange perspectives on the ethical\, legal\, and social dimensions of data-intensive research in the life sciences. The conversation is not limited to lawyers and ethicists\, but also includes researchers whose work both shapes and is shaped by these governance frameworks. \n\n\n\nThe aim is to bring together diverse expertise to explore key challenges\, frame shared research questions\, and spark new interdisciplinary collaborations. \n\n\n\nWorkshop Focus\n\n\n\n→ Analyze governance structures and how they shape data-intensive research in precision medicine\, epidemiology\, infection biology\, biodiversity\, and molecular life sciences→ Identify key legal\, regulatory\, and ethical challenges in data-driven life sciences\, with particular attention to the experiences of scientists working with these issues in practice→ Promote meaningful dialogue across disciplines→ Develop new interdisciplinary research initiatives \n\n\n\nDuration\n\n\n\n12 OctoberArrival and opening from lunch onwards \n\n\n\n13 OctoberFull day of sessions \n\n\n\n14 OctoberClosing and departure ending with lunch  \n\n\n\nExpression of Interest\n\n\n\nApply by May 14 to secure your spot. This workshop is open to researchers from both the WASP-HS and DDLS communities. Spots are limited to 25 participants\, so make sure to fill in the Expression of Interest form to get a chance to attend. \n\n\n\nApply here \n\n\n\nOrganizers\n\n\n\nLianne Colonna\,WASP-HS\, Stockholm UniversityYana Litins’ka\, WASP-HS\, Lund UniversityHeidi Howard\, DDLS\, Chalmers University of TechnologyFrancis Lee\, WASP-HS\, Södertörn UniversityUlrika Wallenquist\, DDLS\, Uppsala UniversityBodil Formark\,WASP-HS\, Södertörn University URL:https://www.scilifelab.se/event/wasp-hs-ddls-interdisciplinary-workshop/ LOCATION:Sigtunastiftelsen\, Manfred Björkquists allé 4\, Sigtuna\, 193 31\, Sweden CATEGORIES:Event ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2025/11/DDLS.jpg ORGANIZER;CN="Data-Driven Life Science @ SciLifeLab":MAILTO:ddls@scilifelab.se END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Stockholm:20261013T090000 DTEND;TZID=Europe/Stockholm:20261013T183000 DTSTAMP:20260909T100640Z CREATED:20251219T143433Z LAST-MODIFIED:20260909T100640Z UID:10001690-1791882000-1791916200@www.scilifelab.se SUMMARY:The PROMISE Initiative: Accelerating Cancer Innovation DESCRIPTION:This conference focuses on the PROMISE Cancer effort led by Swedish scientists representing Stockholm\, Uppsala\, Umeå\, Linköping\, Lund\, and Gothenburg as well as SciLifeLab. \n\n\n\nCancer encompasses more than 200 distinct diseases\, each with widely varying prognoses\, ranging from highly treatable to aggressive cancers with poor outcomes. Advances in molecular profiling hold great promise for improving diagnostics and treatment by enabling more precise\, personalized approaches tailored to individual patients. Sweden has world-leading cancer registries and high-quality biobanks\, creating unique opportunities for cancer research. By joining forces across the research community\, we can better leverage these national strengths to benefit patients. SciLifeLab platforms support the generation\, integration\, and analysis of data across genomics and a broad range of other omics technologies. \n\n\n\nThe goal of the conference is to expand the PROMISE Cancer initiative\, promote its efforts\, and continue building the Swedish cancer community. \n\n\n\nRegistration\n\n\n\nRegister here\n\n\n\nAbout PROMISE\n\n\n\nPrecision Omics Initiative Sweden (PROMISE) is a national initiative using genomics and multiomics to understand common diseases\, rare diseases\, and cancer. \n\n\n\nRead more about PROMISE\n\n\n\nProgram and speakers\n\n\n\n\n\n\n\nMike Stratton\, Sanger Institute\nMike Stratton qualified in medicine at Oxford University and Guy’s Hospital Medical School and obtained a PhD in the Molecular Biology of Cancer at the Institute of Cancer Research\, London. His research into the genomes of normal and cancer cells includes discovery of the breast cancer susceptibility gene BRCA2\, of somatically mutated BRAF in malignant melanoma\, and establishing the conceptual and analytic framework of mutational signatures. He is a Fellow of the Royal Society\, an International Member of the US National Academy of Sciences and was Knighted in the 2013 Queen’s birthday honours. \n\n\n\n\nThoas Fioretos\, Lund University\nThoas Fioretos\, MD\, PhD\, is Professor of Clinical Genetics at Lund University and Senior Consultant at Skåne University Hospital. His research focuses on the molecular basis of acute leukemia and its translation into improved diagnostics and targeted therapies. His group applies genomic and single-cell approaches to define cell states\, stem-cell properties\, immune-evasion mechanisms and cell-surface targets. The group was among the first to establish IL1RAP as a therapeutic target on leukemia stem cells and recently identified SLAMF6 as an immune checkpoint in acute myeloid leukemia. These discoveries have supported antibody-based therapies\, including an investigator-initiated trial evaluating an IL1RAP-targeting antibody in AML and high-risk MDS at MD Anderson Cancer Center. Fioretos is a Wallenberg Clinical Scholar\, Platform Scientific Director of Clinical Genomics Lund at SciLifeLab and a founding member of Genomic Medicine Sweden. He is a member of the Royal Swedish Academy of Sciences and currently chairs its Class for Medical Sciences. \n\n\n\n\nShahar Alon\, Bar-Ilan University\nDr. Shahar Alon leads the Spatial Genomics lab at the Faculty of Engineering\, Bar-Ilan University. Dr. Alon background is in Physics and Neuroscience\, with a PhD from Tel Aviv University\, and a postdoc in the group of Prof. Ed Boyden at MIT. Dr. Alon was awarded the LSRF scholarship during his postdoc and the ERC starting grant as a principal investigator. Alon’s group research questions are mainly related to RNA localization in neurons in healthy and disease-related tissues as well as in cancer tissues. Alon’s group builds technologies and data analysis tools for spatial single cell analysis. \n\n\n\n\nEsther Rheinbay\, Harvard Medical School\nEsther Rheinbay is an Assistant Professor of Medicine at Harvard Medical School and a Principal Investigator at the Krantz Family Center for Cancer Research at Massachusetts General Hospital. She is also an Associate Member of the Broad Institute of MIT and Harvard. Dr. Rheinbay’s research focuses on the intersection of cancer genomics and epigenomics\, with a particular interest in understanding how non-coding mutations and large-scale chromosomal alterations drive tumor progression. Her group is also interested in the role of the sex chromosomes\, and specifically the Y chromosome in cancer. Dr. Rheinbay earned her undergraduate degree in Bioinformatics from the University of Tübingen and her Ph.D. from Boston University\, where she specialized in computational epigenomics. She completed her postdoctoral training at the Broad Institute. Beyond the lab\, Dr. Rheinbay is an advocate for supporting parent scientists in academia\, and enjoys teaching the creativity of designing effective scientific figures. \n\n\n\n\nKarin Forsberg Nilsson\, Uppsala University\nKarin Forsberg-Nilsson is Professor of Stem Cell Research at Uppsala University\, Sweden\, and a SciLifeLab Group Leader. She received her PhD from Uppsala University in 1992 followed by a postdoc at the National Institutes of Health\, USA. Alongside her research\, she has held leadership positions in the pharma/biotech sector\, the Swedish Research Council\, SciLifeLab\, and Uppsala University\, most recently serving as Dean of the Faculty of Medicine. Her research focuses on the intersection of cancer and neurobiology\, combining neural stem cell biology with expertise in brain tumor biology and genetics. Her laboratory investigates non-coding mutations in brain tumors\, with a particular focus on regulatory regions under evolutionary constraint. This work is based on the hypothesis that conserved genomic regions are more likely to be functional and that mutations within them may have greater biological impact. \n\n\n\n\nMargareta Haag\, Swedish Network Against Cancer\nMargareta Haag is Chair of the Swedish Network against Cancer\, an umbrella organization for cancer patient organizations and their families. A lymphoma patient since 1994 and a lymphoedema patient since 1995\, she is a strong patient representative and advocate. She is former Executive Director of an international professional body and the Federation of Biomedical Laboratory Science. Her leadership roles include President of the Swedish Association of Chronic Oedema and former member of the Swedish Ministry of Social Affairs’ Patient Advisory Council (2019–2021). Margareta has also contributed to the Government’s Innovation Partnership Programme in Health and Life Science\, focusing on precision medicine and ATMPs. She serves or has served on several patient and health-related boards and advisory groups\, including All.Can Sweden\, GPCC\, EUPATI Sweden\, Agenda for Health and Well-being\, Research Sweden\, Patient Advocacy 2.0\, and Zero Vision Cancer. \n\n\n\n\nAnn Nordgren\, Karolinska Institutet\n \n\n\n\n\nJohan Lindberg\, Karolinska Institutet\nJohan Lindberg is Principal Researcher at the Department of Medical Epidemiology and Biostatistics\, Karolinska Institutet. His research covers cancer genomics\, bioinformatics\, assay development\, biomarker discovery\, and clinical trials. He has established an infrastructure and a team that performs prospective genomic analysis of cancer genomes and delivers results within a clinically relevant timeframe. More than 6500 reports have been sent to approximately 50 hospitals in six European countries. He is responsible for the prospective genomic analysis in the ProBio Biomarkers trial (NCT03903835)\, an outcome-adaptive randomised platform trial in metastatic prostate cancer (Nature Medicine\, 2024)\, and held the same responsibility in the ALASCCA trial which evaluated low-dose aspirin in PI3K-altered localised colorectal cancer (New England Journal of Medicine\, 2025). Assays developed in these programmes are currently in routine diagnostic use at Karolinska University Hospital for metastatic prostate cancer and six further diagnoses. \n\n\n\n\nOlli Kallioniemi\, Institute for Molecular Medicine Finland (FIMM)\nOlli Kallioniemi is Research Director at the Institute for Molecular Medicine Finland (FIMM)\, part of HiLIFE at the University of Helsinki. He earned his MD (1985)\, PhD (1988)\, and specialization in Clinical Chemistry (1990) from the University of Tampere. He then spent 11 years in the U.S. as a postdoctoral fellow at UCSF and tenure-track investigator at NHGRI/NIH\, where he was tenured in 2001. From 2007–2015\, he served as the founding director of FIMM in Helsinki\, later recruited to Sweden to direct the Science for Life Laboratory (SciLifeLab) in 2015–2024\, Sweden´s national life science research infrastructure\, as well as nominated to a professorship in molecular precision medicine at Karolinska Institutet. He also acted as the Founding Director of the 3.3B SEK SciLifeLab-KAW Data-Driven Life Science (DDLS) program. His research focuses on AI- and data-driven precision medicine\, particularly in acute myeloid leukemia and prostate cancer\, and he co-leads a national initiative to plan the future of Finnish health data space and its utilization. He has authored 420+ publications\, holds ~20 patents\, and supervised 27 doctoral theses and over 30 postdocs. His honors include the Anders Jahre Young Investigator Award\, Äyräpää Prize\, AACR Team Science Awards\, and Biomedicum Medal. He is a member of EMBO\, the European Academy of Cancer Sciences\, the Royal Swedish Academy of Sciences\, and the Nobel Assembly at Karolinska Institutet. \n\n\n\n\nBerend Snijder\, Institute of Molecular Systems Biology\, ETH Zürich\nBerend Snijder is a Faculty Member at the Botnar Institute of Immune Engineering. He is a group leader at the Swiss Institute of Bioinformatics and the Comprehensive Cancer Center Zurich\, and was previously Assistant Professor at the Institute of Molecular Systems Biology at the ETH Zurich. Berend’s research focuses on the systematic functional and multi-omic profiling of human tissues in health and disease\, with strong bioinformatics and clinical/translational focus. He is a leading figure in the field of functional precision medicine. Berend has co-founded three spinoff companies\, including Allcyte (acquired by Exscientia\, now Recursion)\, Prevision Medicine\, and Graph Therapeutics. \n\n\n\n\nTuuli Lappalainen\, KTH & New York Genome Center\nTuuli Lappalainen\, PhD\, is a Professor at KTH Royal Institute of Technology\, the Director of the Genomics Platform and the National Genomics Infrastructure of SciLifeLab\, Sweden\, and a Senior Associate Faculty Member at the New York Genome Center. Dr. Lappalainen received her PhD in Genetics from the University of Helsinki. Her research focuses on molecular and cellular effects of genetic variation in human populations and their contribution to human traits and diseases. She has contributed to many international research consortia in human genetics\, and she has received multiple prizes for her contributions to the field. \n\n\n\n\nTobias Sjöblom\, Uppsala University\nTobias Sjöblom is Professor of Tumor Genetics at Uppsala University\, Sweden. His current research interests include the somatic genetic basis of colorectal cancer\, phenotypes of cancer mutations\, and diagnostics and therapeutics development based on somatic mutations. He is Program Director for U-CAN\, a longitudinal cancer research initiative encompassing >30.000 patients to support cancer biomarker research. \n\n\n\n\nLao Saal\, Lund University\nDr. Lao Saal\, MD/PhD\, is Head of Translational Oncogenomics\, Division of Oncology\, at Lund University\, and is the Co-Director of the CIRCE Women’s Cancer Research Center and Head of SCAN-B Translational Research. He was also founder and CEO of SAGA Diagnostics\, a spinout company from his laboratory that focused on circulating tumor DNA liquid biopsy testing\, and which was acquired by Foundation Medicine / Roche for up to 595 MUSD\, and is the consulting Medical Director for the AI digital pathology company DoMore Diagnostics. Dr. Saal has MD and PhD degrees from Columbia University (New York) and has trained at the U.S. National Institutes of Health and Memorial Sloan Kettering Cancer Center\, and has published more than 80 articles\, including in leading journals such as Nature Genetics\, Science\, and PNAS\, which in total have been cited more than 15\,000 times. \n\n\n\n\nJohanna Sandgren\, Karolinska Institutet\nJohanna Sandgren\, PhD\, is Director of the Swedish Childhood Tumour Biobank at Karolinska Institutet and Karolinska University Hospital in Stockholm\, Sweden. She serves on the coordinating group of Genomic Medicine Sweden Childhood Cancer and the operational leadership group of the BrainChild initiative led by the Swedish Childhood Cancer Fund. She also currently contributes to the reference group for implementation of a digital biobank application system developed by Biobank Sverige. Dr. Sandgren earned her PhD in Cancer Genomics from Uppsala University and has more than 15 years of experience in the area of pediatric cancer research. The focus now\, and for almost 10 years\, is on facilitate the advancing of childhood cancer research\, and care\, through the research infrastructure Swedish Childhood Tumour Biobank (Barntumörbanken). This by enabling controlled access to population-based collection of high-quality biospecimens\, harmonized OMICS and meta data\, as well as via collaborations and services that support both research and clinical studies. \n\n\n\n\nAndreas Josefsson\, Umeå University\nAndreas Josefsson\, MD\, PhD\, is Associate Professor and Senior Consultant in Urology at Umeå University and Norrland University Hospital. His research focuses on prostate cancer\, particularly high-risk and metastatic disease\, combining clinical studies with translational work on tumour biology and biomarkers. He is principal investigator and chair of SPRINTR (Swedish PRecision medicine Initiative for Novel Treatments and Research)\, a national prospective platform in which patients are enrolled in routine care\, with structured clinical data\, molecular profiling\, imaging\, digital pathology\, possibility for biobanking\, and linkage to national registries. SPRINTR started in prostate cancer\, includes all seven Swedish university hospitals and several more sites\, and serves as a study-ready population for translational research and clinical trials. The concept is now being extended to other cancer types. He is also a member of the steering groups of Umeå Comprehensive Cancer Center\, the National Prostate Cancer Register\, and the Scandinavian Prostate Cancer Group. \n\n\n\n\nScientific committee\n\n\n\n\n\n\n\nProject manager\n\n\n\nAnna Clareborn \n\n\n\nEvent Sponsors\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nYou may also be interested in\n\n\n\n\nSciLifeLab Science Summit URL:https://www.scilifelab.se/event/the-promise-initiative-accelerating-cancer-innovation/ LOCATION:Lecture Hall X\, University Main Building\, Uppsala\, Biskopsgatan 3\, Uppsala\, 75105\, Sweden CATEGORIES:Event ATTACH;FMTTYPE=image/png:https://www.scilifelab.se/wp-content/uploads/2025/12/Promise-Sweden-Banner-scaled.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Stockholm:20261014T084500 DTEND;TZID=Europe/Stockholm:20261014T170000 DTSTAMP:20260911T060729Z CREATED:20251219T121224Z LAST-MODIFIED:20260911T060729Z UID:10001689-1791967500-1791997200@www.scilifelab.se SUMMARY:SciLifeLab Science Summit DESCRIPTION:The Annual Conference SciLifeLab Science Summit is a one-day symposium with a new topic each year. The 2026 topic is: \n\n\n\nCancer Research: Translating Life Science Discoveries to Clinical Breakthroughs\n\n\n\nFor more than a century\, Swedish cancer research has shaped the international scientific landscape\, driven by strong academic environments and a deep societal commitment to transforming discoveries into better treatments. From breakthroughs in cancer genomics and tumor biology to advances in immunology and angiogenesis\, researchers in Sweden continue to push the boundaries of life science and medicine. \n\n\n\nThe SciLifeLab Science Summit brings this legacy into the future by uniting world-leading cancer researchers with cutting-edge technologies across genomics\, proteomics\, imaging\, data science\, and beyond. The summit creates an inspiring forum where scientific excellence meets societal relevance—fostering collaboration\, showcasing groundbreaking research\, and highlighting how cancer research continues to reveal fundamental mechanisms of life while driving innovation with real-world impact. \n\n\n\nThe conference is free of charge. Fika\, lunch and Meet-the-speaker-mingle will be included (only) if you register before deadline on September 21. \n\n\n\nJoin us for a full day of inspiring Science! \n\n\n\nWelcome! \n\n\n\nScientific Committee\n\n\n\n\n\n\n\nProject leader: Erika Erkstam\, Operations Office\, SciLifeLab \n\n\n\nRegistration\n\n\n\nDeadline (for registration and posters): September 21 \n\n\n\nQuestions? If you have any inquiries regarding the event or your registration\, please contact events@scilifelab.se \n\n\n\nFor late registrations (after September 21)\, we cannot guarantee lunch\, coffee\, nor can we accommodate any allergies or dietary requirements. These will be subject to availability. We appreciate your understanding. \n\n\n\nRegister here\n\n\n\n\n\n\n\n\n\n\n\nSpeakers\n\n\n\n\nAngelica Loskog\, Uppsala University and Lokon Pharma\n\n\n\nAnna Martner\, University of Gothenburg\, Sweden\n\n\n\nAri Molofsky\, University of California\, San Francisco\, US\n\n\n\nBernd Bodenmiller\, University of Zurich and ETH Zurich\, Switzerland\n\n\n\nGabriele Bergers\, VIB-KU Leuven Center for Cancer Biology\, Belgium\n\n\n\nGunilla Edblad\, Uppsala University and Uppsala University Hospital\n\n\n\nGöran B. Jönsson\, Lund University\n\n\n\nIñaki Martin-Subero\, ICREA Research Professor at IDIBAPS\, Barcelona\, Spain\n\n\n\nThoas Fioretos\, Lund University\n\n\n\n\nProf. Angelica Loskog\nUppsala University\, Sweden and Lokon Pharma. \n\n\n\nTitle: Evoking Tumor Immunity in Immune-Resistant Cancers \n\n\n\nAbstract: \n\n\n\nGrauers Wiktorin H1\, Lövgren T1\, Wenthe J1\, Ritter A1\, Calandegary A1\, Ekström Ryden V\,1\,2 Hahn A1\,2\, Hamid O3\, Gustafsson Liljefors M4\, Musher BL5\, Brenner MK5\, Ullenhag G1\,2\, Loskog A1\,6. \n\n\n\n1Uppsala University\, Uppsala\, Sweden \n\n\n\n2Uppsala University Hospital\, Uppsala\, Sweden \n\n\n\n3The Angeles Clinic and Research Institute\, A Cedars Sinai Affiliate\, Los Angeles\, CA\, USA \n\n\n\n4Karolinska Hospital\, Huddinge\, Sweden \n\n\n\n4Baylor College of Medicine\, Houston\, TX\, USA \n\n\n\n6Lokon Pharma AB\, Uppsala\, Sweden \n\n\n\nImmunotherapy for cancer is a cornerstone of cancer treatment but despite the initial success\, many patients are either primary resistant or develop resistance during treatment. By engineering the tumor microenvironment using and oncolytic adenoviral gene vector encoding TMZ-CD40L and 4-1BBL (LOAd703)\, we aim to rewire the immunosuppressive state in the patients to drive anti-tumor immune responses allowing for continued immune checkpoint inhibitor (ICI) treatment of refractor patients and/or ICI treatment of indications previously not responding to ICI. LOAd703 plus ICI have been tested in melanoma patients (n=24) refractory to one or several lines of prior ICI\, and in pancreatic cancer patients (LOAd703 +standard chemotherapy\, n=21; LOAd703 + ICI + standard chemotherapy\, n=24) who are commonly not responding to ICI. In these Phase I/II clinical trials blood and biopsies were analyzed for the initiation of immune responses locally in the tumor microenvironment as well as systemically in blood. \n\n\n\nThe treatment was well tolerated with common adverse events related to chemotherapy (pancreatic cancer) or ICI (melanoma and pancreatic cancer). LOAd703 attributed adverse events included fever\, chills\, and cytokine release syndrome\, mostly grade 1 or 2. Both in melanoma and pancreatic cancer\, LOAd703 promoted a typical Th1 type of immune response post treatment initiation which was noted both in the tumor and in blood. Similarly\, tumor responses were noted in both indications as evaluated with Olink proteomics\, NanoString Technology\, and flow cytometry. In conclusion\, LOAd703 can be used together with chemotherapy and/or ICI treatment to rewire the immunosuppressive state in patients towards Th1 immunity and subsequently controlling tumor growth in patients. \n\n\n\n \n\n\n\n\nProf. Anna Martner\nUniversity of Gothenburg\, Sweden. \n\n\n\nTitle: NOX2-derived ROS as drivers of metastatic progression \n\n\n\nBiosketch: Anna Martner is a group leader at the Sahlgrenska Center for Cancer Research\, University of Gothenburg. Her research focuses on myeloid cell-mediated immunosuppression\, NOX2-derived ROS\, tumor cell plasticity\, and metastasis. She trained with Professors Kristoffer Hellstrand and Dmitry Gabrilovich and spent a 2019 sabbatical in Professor Robert Weinberg’s laboratory at MIT studying EMT. \n\n\n\nAbstract: The efficacy of cancer immunotherapy depends on the balance between anti-tumor effector cells\, including natural killer (NK) cells and T cells\, and mechanisms of tumor-associated immunosuppression. Inflammatory myeloid cells\, including myeloid-derived suppressor cells (MDSCs)\, contribute to immune evasion through several mechanisms\, among them the production of reactive oxygen species (ROS) by NOX2. \n\n\n\nOur group investigates the role of NOX2-derived ROS in cancer-associated immunosuppression and metastasis\, and the potential of targeting this pathway therapeutically. We have shown that genetic or pharmacological inhibition of NOX2 promotes NK cell-mediated clearance of metastatic tumor cells and enhances the efficacy of immune checkpoint blockade (Aydin et al.\, Cancer Immunol Res\, 2017; Grauers Wiktorin et al.\, Cancer Immunol Immunother\, 2019). We also found that surgical stress aggravates NOX2-dependent immunosuppression and metastatic progression\, effects that can be counteracted by NOX2 inhibition (Grauers Wiktorin et al.\, Cancer Res Commun\, 2024). \n\n\n\nMore recently\, we found that myeloid cell-derived NOX2-generated ROS can act directly on tumor cells. These ROS induce epigenetic changes that activate epithelial-to-mesenchymal transition (EMT) programs and promote metastasis (Kaya et al.\, PNAS\, 2026). Thus\, NOX2-derived ROS may promote metastatic progression both by suppressing anti-tumor immunity and by enhancing tumor cell plasticity. \n\n\n\nHistamine dihydrochloride (HDC)\, which inhibits NOX2-dependent ROS formation\, is approved in the EU for relapse prevention in acute myeloid leukemia. In an ongoing clinical trial at the Sahlgrenska University Hospital\, we are investigating HDC in combination with IL-2 in patients undergoing surgery for pancreatic cancer\, with the aim of reducing perioperative immunosuppression and metastatic risk. \n\n\n\n\nProf. Ari Molofsky\nUniversity of California\, San Francisco \n\n\n\nTitle: Fibroblast – Immune niches in health and disease. \n\n\n\nBiosketch: Ari Molofsky received a BS with highest honors from the University of Texas at Austin and an MD/PhD with research distinction from the University of Michigan in Ann Arbor. Dr. Molofsky completed residency and fellowship in Clinical Pathology/Hematopathology and now leads a tissue immunology-focused research group in the Department of Laboratory Medicine at UCSF. Dr. Molofsky’s research goals are to understand the regulation and function of tissue-resident immune cells to define novel pathways that can be targeted across diverse human diseases. These tissue-resident immune cells are early organizers of tissue remodeling and first responders during tissue damage and infection\, positioning them as key mediators of tissue health and disease. The Molofsky lab has defined a stromal-immune niche surrounding larger vessels and other border structures in multiple tissues\, including the lungs and brain. They are using 3D quantitative microscopy\, single-cell and spatial transcriptomics\, and cytokine reporters/manipulators to dissect these critical immune-microenvironment interactions\, with a particular focus on bidirectional interactions with fibroblasts. Dr. Molofsky has published papers spanning microbial pathogenesis\, tissue-resident immunity\, and local immune niches. Dr. Molofsky is actively involved in trainee education and teaching and leads the UCSF medical school immunology course. Dr. Molofsky routinely serves as an ad hoc reviewer for multiple journals and is a standing member of the NIH Innate Immunity study section. \n\n\n\nAbstract: \n\n\n\n\nProf. Bernd Bodenmiller\nUniversity of Zurich and ETH Zurich\, Switzerland \n\n\n\nTitle: Highly multiplexed imaging of tissues with subcellular resolution by imaging mass cytometry \n\n\n\nBiosketch: Bernd Bodenmiller is a quantitative biologist who develops novel experimental and computational approaches for the quantitative analysis of tumor ecosystems to improve our understanding of the mechanisms of tumor development for the benefit of patients. He is the founding director of the Department of Quantitative Biomedicine (DQBM) at the University of Zurich\, which fosters research and education at the interface of biomedical research\, biotechnology\, and computational biology to guide development of next-generation precision medicine. Prof. Bodenmiller obtained his PhD in the group of Ruedi Aebersold at ETH Zürich. For his postdoctoral training\, he joined the laboratory of Garry P. Nolan at Stanford University. In 2012\, he became a group leader and in 2013 an SNF/ERC assistant professor at the University of Zürich. In 2019\, he was tenured and became the founding director of the DQBM. In October 2020 Prof. Bodenmiller has been appointed as Dual Professor for Quantitative Biomedicine at the UZH and at ETH Zurich. His group pioneered the development of imaging mass cytometry\, an approach that enables simultaneously imaging of over 40 proteins and transcripts in tumor tissues (Nat. Methods\, 2014; Cell Systems\, 2017; Nature 2020) and the histoCAT software toolbox (Nat. Methods\, 2017). His groups applies these methods to unravel how cells in the tumor ecosystem drive cancer development to identify mechanisms that might be exploited for therapeutic targeting (Nat. Biotechnology\, 2017\, Cell\, 2017; Cell\, 2019). \n\n\n\nAbstract: Cancer is a tissue disease. Heterogeneous cancer cells and normal stromal and immune cells form a dynamic ecosystem that evolves to support tumor expansion and ultimately tumor spread. The complexity of this dynamic system is the main obstacle in our attempts to treat and heal the disease. The study of the tumor ecosystem and its cell-to-cell communications is thus essential to enable an understanding of tumor biology\, to define new biomarkers to improve patient care\, and ultimately to identify new therapeutic routs and targets. \n\n\n\nTo study and understand the workings of the tumor ecosystem\, highly multiplexed image information of tumor tissues is essential. Such multiplexed images will reveal which cell types are present in a tumor\, their functional state\, and which cell-cell interactions are present. To enable multiplexed tissue imaging\, we developed imaging mass cytometry (IMC). IMC is a novel imaging modality that uses metal isotopes of defined mass as reporters and currently allows to visualize over 50 antibodies and DNA probes simultaneously on tissues with subcellular resolution. In the near future\, we expect that over 100 markers can be visualized. We applied IMC for the analysis of breast cancer samples in a quantitative manner. To extract biological meaningful data and potential biomarkers from this dataset\, we developed a novel computational pipeline called histoCAT geared for the interactive and automated analysis of large scale\, highly multiplexed tissues image datasets. Our analysis reveals a surprising level of inter and intra-tumor heterogeneity and identify new diversity within known human breast cancer subtypes as well as a variety of stromal cell types that interact with them.In summary\, our results show that IMC provides targeted\, high-dimensional analysis of cell type\, cell state and cell-to-cell interactions within the TME at subcellular resolution. Spatial relationships of complex cell states of cellular assemblies can be inferred and potentially used as biomarkers. We envision that IMC will enable a systems biology approach to understand and diagnose disease and to guide treatment. \n\n\n\n\nProf. Gabriele Bergers\nVIB-KU Leuven Center for Cancer Biology\, Belgium \n\n\n\nTitle: A vascular perspective on immunity in cancer and inflammation \n\n\n\nBiosketch: Dr. Gabriele Bergers is a Professor of Oncology at the University of Leuven and a Principal Investigator at the Vlaams Instituut Voor Biotechnologie (VIB)-Center for Cancer Biology in Leuven since 2016. Prior\, she followed the faculty rank at the University of California\, San Francisco\, and was a Professor in the Department of Neurological Surgery and a PI in the Brain Tumor Research Center (BTRC) at the Helen Diller Family Comprehensive Cancer Center at the University of California\, San Francisco until 2016. \n\n\n\nThe overall research interest of her group relates to the tumor vasculature\, which entails an integral and critical component of the tumor microenvironment and closely interacts with distinct cell constituents of the heterogeneous tumor community. Such crosstalk is pivotal not only for the genesis and progression of a tumor but also for the tumor’s ability to resist therapeutic elimination. \n\n\n\nOver the last years\, her group has made seminal discoveries in the heterogenous crosstalk of the vascular immune axis and identified several intimate regulatory mechanisms between angiogenesis and immunosuppression that provide novel target possibilities to enhance the effects of cancer therapy by modulating the tumor vascular system and its communication with immune cells; among those\, to induce high endothelial venules and subsequent tertiary lymphoid structures\, with the overarching goal to sensitize and enhance an immune response in cancer patients to thwart tumors and metastases and invigorate tissue homeostasis. \n\n\n\nFor her research\, Dr. Bergers has received several awards\, including the Sidney Kimmel\, the Sandler Opportunity\, UCSF Breakthrough Biomedical Research\, and the Judah Folkman Award. She has acted as an external advisory board member for a number of universities and pharmaceutical companies; most recently for Mestag Therapeutics. Dr. Bergers was the co-director of the U54 Tumor microenvironment Brain Tumor Center at UCSF until 2016. She was  a Scientific co-founder of Oncurious. \n\n\n\nAbstract: The vasculature is a critical gatekeeper of tissue immunity\, determining which cells can enter or exit a tissue. During infection\, specialized endothelial cells known as high endothelial venules (HEVs)become activated to promote lymphocyte entry into lymph nodes\, enabling efficient immune priming against pathogens. In cancer\, however\, the vascular system is frequently reprogrammed to suppress immunity. Tumor endothelial cells can form barriers that limit lymphocyte infiltration\, contributing to immune-cold or immune-desert tumors. At the same time\, tumor cells actively remodel HEVs in tumor-draining lymph nodes\, altering their phenotype to facilitate tumor cell intravasation and systemic dissemination. \n\n\n\nRecent mechanistic insights into HEV regulation reveal that the vascular system can also be therapeutically reprogrammed. Induction of intratumoral HEVs can promote lymphocyte recruitment and the formation of tertiary lymphoid structures (TLS)\, which are associated with stronger anti-tumor immunity and improved clinical outcomes. In contrast\, chronic inflammatory diseases such as psoriasis also display HEV expansion accompanied by persistent T-cell aggregates\, where excessive lymphocyte influx may exacerbate pathology. \n\n\n\nHere\, I will discuss HEVs as central vascular regulators of local and systemic immune responses across cancer and chronic inflammation. I will highlight emerging strategies to modulate the vascular axis to either enhance anti-tumor immunity or dampen pathological inflammation\, positioning HEVs as promising therapeutic targets for restoring tissue immune homeostasis. \n\n\n\n\nProf. Gunilla Enblad\nUppsala University and Uppsala University Hospital \n\n\n\nTitle: CAR T-cells a powerful new immunotherapy \n\n\n\nBiosketch: Gunilla Enblad is professor of oncology at Uppsala university Hospital and Uppsala University and senior consultant in oncology. Her main research interests are lymphomas and CAR T-cells. She was PI for the first two academic CAR T-cell trials in Uppsala\, started already 2014 which was first in Europe. She is now PI for a third academic CAR T-cell trials for lymphomas. She is the chairman of the Swedish CAR T-cell group and co-chairman of SWECARNET\, a collaborative group on CAR T-cells. She is currently performing clinical and translational research on lymphomas and CAR T-cells. \n\n\n\nAbstract: Chimeric antigen receptor (CAR) T-cell therapy has emerged as a promising treatment for relapsed and refractory malignancies and autoimmune disease. CAR T-cells are autologous T lymphocytes genetically modified to express a synthetic receptor targeting a surface antigen on the selected cells i.e. tumor cell or B-cell.. Most clinically approved CAR T-cell products target CD19\, which is widely expressed on B-cell lymphomas and leukemias. Following ex vivo genetic modification and expansion\, the cells are reinfused into the patient to mediate targeted anti-tumor activity. \n\n\n\nClinical studies have demonstrated remarkable efficacy\, with many patients achieving durable remissions and potential cures despite having exhausted conventional treatment options. Uppsala University Hospital pioneered CAR T-cell therapy in Europe\, initiating academic studies in 2014 and contributing to the implementation of CAR T-cells as standard of care in Sweden since 2019. Current research focuses on improving efficacy while reducing treatment-related toxicities\, including cytokine release syndrome\, neurotoxicity\, and immune effector cell-associated hematotoxicity. \n\n\n\nA novel academic phase I study\, CARMA\, evaluates an in-house produced CD20-targeting CAR T-cell armed with a neutrophil activating protein (NAP) derived from Helicobacter pylori. Preliminary results are highly encouraging\, with complete metabolic remissions observed in many evaluable patients and only mild adverse effects. Ongoing translational studies aim to identify biomarkers of response and resistance\, ultimately supporting the development of safer and more effective CAR T-cell therapies. \n\n\n\n\nProf. Göran Jönsson\nLund University \n\n\n\nTitle: Exploring the role of the anti-tumor immune response in tumor initiation and therapy response in melanoma \n\n\n\nBiosketch: Göran Jönsson is a professor in molecular oncology at Lund University. His research has for many years been based on strong collaboration between basic- and clinician scientists in truly translational projects. Considering this and his background in state-of-the art genomic technologies and applying that on human melanoma tissue puts him in a perfect position to conduct research that will generate groundbreaking findings. This is further substantiated by the group’s publication in Nature (2020). Göran is a faculty member of ESMO (European Society of Medical Oncology) and have an extensive international network. He is frequently invited to large international meetings and acts as a reviewer to several funding agencies and high-impact journals such as Nature. Göran has also been the recipient of Young and Senior Investigator Awards from the Swedish Cancer Society and more recently was awarded with the Göran Gustafsson prize in medicine 2022 from the Royal Swedish Academy of Sciences and Cancer Researcher of the year (2023) from the Swedish Cancer Society. \n\n\n\nAbstract: \n\n\n\n \n\n\n\n\nProf. Iñaki Martin-Subero\nICREA Research Professor at IDIBAPS\, Barcelona\, Spain \n\n\n\nTitle: Epigenetic memory in chronic lymphocytic leukemia: decoding the past predicts the future \n\n\n\nBiosketch: In 2001\, I obtained my PhD in Biochemistry from the University of Navarra on genetics of lymphoid neoplasms under the supervision of Prof. Maria J Calasanz and co-supervision of Prof. Reiner Siebert from the Christian-Albrechts University of Kiel. After that\, I continued my studies on lymphoma genetics as postdoctoral fellow with Prof. Siebert. In 2005\, I became interested in the field of epigenomics and in 2009 I came back to Spain. After a short stay at the IDIBELL\, I went to the UB/IDIBAPS to start my career as independent researcher embedded in the group of Prof. Elias Campo. In 2016\, I was appointed Junior Leader of the Biomedical Epigenomics group at the IDIBAPS and from November 2018 I am ICREA Research Professor at the IDIBAPS. I also have an appointment as associate professor at the UB. Our group is interested in the role of epigenetics in the origin\, evolution and clinical manifestations of lymphoid tumors. \n\n\n\nAbstract: Chronic lymphocytic leukemia (CLL) is the most frequent leukemia in the Western world. Its clinical behavior is extremely variable\, ranging from cases that regress spontaneously without treatment to cases that transform to aggressive lymphomas with short median survival\, a condition called Richter transformation. Such clinical heterogeneity is partially associated with genetic features\, although predicting the future clinical evolution of CLL patients is still challenging. During the last decade\, we have also been investigating the CLL epigenome. We have observed that CLL cells carry DNA methylation imprints of their cellular origin allowing the distinction of three clinical subtypes derived from B cells at different maturation stages. Additionally\, DNA methylation changes in late replicating regions accumulate as cancer cells divide\, allowing the development of a mitotic clock that is able to trace the proliferative history of cancer cells. Furthermore\, using CpG sites with fluctuating methylation\, it is now possible to decode the evolutionary dynamics of CLL development. These aspects of epigenetic memory are strongly associated with disease progression. Studying the transition from CLL to Richter transformation from a multiomics perspective\, we detected that progression was accompanied by the expected increase in complexity of several molecular layers. However\, a detailed genomics and transcriptomics examination at the single cell level revealed that the Richter-associated subclone was present in minute amounts already at the time of diagnosis\, up to two decades before transformation. Overall\, these studies and additional unpublished data presented in the meeting\, indicate that molecular imprints of the past are useful markers to estimate the future clinical behavior of the patients. \n\n\n\n\nProf. Thoas Fioretos\nLund University \n\n\n\nTitle: From Genomic Discoveries to Better Diagnostics and Therapies in Acute Leukemia \n\n\n\nBiosketch: Thoas Fioretos\, MD\, PhD\, is Professor of Clinical Genetics at Lund University and Senior Consultant at Skåne University Hospital. His research focuses on the molecular basis of acute leukemia and its translation into improved diagnostics and targeted therapies. His group applies genomic and single-cell approaches to define cell states\, stem-cell properties\, immune-evasion mechanisms and cell-surface targets. The group was among the first to establish IL1RAP as a therapeutic target on leukemia stem cells and recently identified SLAMF6 as an immune checkpoint in acute myeloid leukemia. These discoveries have supported antibody-based therapies\, including an investigator-initiated trial evaluating an IL1RAP-targeting antibody in AML and high-risk MDS at MD Anderson Cancer Center. Fioretos is a Wallenberg Clinical Scholar\, Platform Scientific Director of Clinical Genomics Lund at SciLifeLab and a founding member of Genomic Medicine Sweden. He is a member of the Royal Swedish Academy of Sciences and currently chairs its Class for Medical Sciences. \n\n\n\nAbstract: \n\n\n\n \n\n\n\n \n\n\n\n\nProgram\n\n\n\n08:45Registration and poster hangingPlease leave large bags and outerwear in the staffed Cloakroom09:00Doors open. Be seated at 09:1509:15Welcome by SciLifeLab Director Jan Ellenberg09:35Session 1: Immune Niches in CancerModerator: Anna DimbergA vascular perspective on immunity in cancer and inflammationGabriele Bergers\, VIB-KU Leuven Center for Cancer Biology\, BelgiumExploring the role of the anti-tumor immune response in tumor initiation and therapy response in melanomaGöran Jönsson\, Lund University\, SwedenFlash Talks10:45Coffee and Poster session (odd numbers)11:25Session 2: Tumor Microenvironment and Clinical TranslationModerator: Carina StrellFibroblast – Immune niches in health and diseaseAri Molofsky\, University of California\, San Francisco (UCSF)\, USEvoking Tumor Immunity in Immune-Resistant CancersAngelica Loskog\, Uppsala University\, Sweden and Lokon PharmaCAR T-cells: a powerful new immunotherapyGunilla Enblad\, Uppsala University and Uppsala University Hospital\, Sweden12:45Lunch13:45Session 3: Precision OncologyModerator: Jessica Nordlund & Panagiotis BaliakasEpigenetic memory in chronic lymphocytic leukemia: decoding the past predicts the futureIñaki Martin-Subero\, IDIBAPS\, SpainFrom Genomic Discoveries to Better Diagnostics and Therapies in Acute LeukemiaThoas Fioretos\, Lund University\, Sweden14:45Roundtable discussion: What is needed to translate Swedish cancer discoveries into clinical implementation?Moderator: Thuy TranPanelists: Gunilla Enblad\, Thoas Fioretos\, Maréne Landström\, Angelica Loskog\, Kristian Sandberg.Flash Talks15:15Coffee and Poster session (even numbers)15:55Session 4: Tumor Ecosystems and Spatial BiologyModerator: Aristidis MoustakasHighly multiplexed imaging of tissues with subcellular resolution by imaging mass cytometryBernd Bodenmiller\, University of Zurich and ETH Zurich\, SwitzerlandNOX2-derived ROS as drivers of metastatic progressionAnna Martner\, University of Gothenburg\, Sweden16:50Best Poster Award and Closing wordJan Ellenberg\, Director\, SciLifeLabPoster Jury of SciLifeLab and DDLS Fellows17:00Meet-the-speaker and network mingle with snacks and beverages18:15End of SciLifeLab Science Summit\n\n\n\nProgram Science Summit 2026Download\n\n\n\nPoster session\n\n\n\nEveryone\, especially junior (PhD and postdoc) researchers are encouraged to participate with poster presentations and have the opportunity to win the Best Poster Award. \n\n\n\nDetails about the Poster session\nPoster Presentation Guidelines \n\n\n\nPoster Format \n\n\n\nThe poster boards are 103 cm wide and 143 cm high. \n\n\n\nMount your poster \n\n\n\nThe venue will be open from 8:45 AM. Please proceed to the 6th floor and hang your poster at your designated number. A numbered poster list will be provided closer to the event date. \n\n\n\nPoster sessions \n\n\n\nPoster Session I: During the morning coffee break\, presenters of posters with odd numbers (1\, 3\, 5\, 7…) should be present by their posters. \n\n\n\nPoster Session II: During the afternoon break\, presenters of posters with even numbers (2\, 4\, 6\, 8…) should be present by their posters. \n\n\n\nBest Poster Award \n\n\n\nAll poster presenters should attend the Best Poster Award ceremony at the end of the conference\, where the Best Poster Award will be announced. The Poster Jury will read the abstracts and evaluate the posters throughout the day based on (a) Quality of Science (b) Design (c) Capacity to explain the work. The Poster Jury will select the 2026 Science Summit Best Poster and award the winner a 5\,000 SEK Travel Grant (conditions apply). \n\n\n\nFlash Talks (5-min research pitch) selected from Abstracts. \n\n\n\nThe abstracts will be published on the event website and used to select Flash Talks (5-min research pitch).  \n\n\n\nDismount of posters \n\n\n\nPlease remove your poster immediately after the closing session at 5:00 PM. Poster screens will be collected at 5:30 PM\, and any remaining posters will be discarded. \n\n\n\n\nBest Poster Award\n\n\n\nThe Poster jury\, consisting of SciLifeLab Fellows\, will nominate the Science Summit 2026 Best Poster and award the winner a 5 000 SEK Travel Grant. \n\n\n\nSpread the word – download the flyer\n\n\n\nDigital sign_SS26_qrDownload\n\n\n\n\n\n\n\nPractical information\n\n\n\nTravel to Uppsala\n\n\n\nThe Venue\, Uppsala Konsert & Kongress (UKK) is next to the Train station. MAP here! Travel centres\, bus stops\, parking and hotels are all located within walking distance from Uppsala Konsert & Kongress. Several train and bus lines connect Uppsala to the rest of the country and the region\, and Arlanda Airport is only 18 minutes by train\, Stockholm Central station is approx. 30 minutes by train. \n\n\n\nUppland public transport (UL) timetables and information: www.ul.seStockholm public transport (SL) timetables and information: www.sl.se SJ timestables and information: www.sj.se \n\n\n\nGood to know\, travelling to Uppsala. \n\n\n\nParking\n\n\n\nThe nearest parking garage is Centralgaraget. There is also parking available in Kvarnens parking garage\, Svava\, S:t Per Gallerians garage\, Österplan\, and several other locations in central Uppsala. For more information about parking in the area\, please visit Uppsala Parkering. \n\n\n\nHotels in Uppsala\n\n\n\nFind suggestions for accommodation in Uppsala here \n\n\n\n\nImproved event experience: Introducing the Lyyti Event app \n\n\n\nThis event uses Lyyti for registration. Lyyti has launched the Lyyti Event app\, where you can find your Lyyti registration\, confirmation\, and ticket. You can also edit your information until the registration deadline. \n\n\n\nTo get started\, download “Lyyti Event” and sign up with the same email address you normally use for event registrations. The app only displays events associated with the email address used to create your account. \n\n\n\nIf you register for events using multiple email addresses\, your registrations will be split across separate app accounts. For the best experience\, please use one consistent email address for all Lyyti registrations. We hope this new functionality makes it easier for you to manage your participation. \n\n\n\n\nYou may also be interested in:\n\n\n\n\nThe PROMISE Initiative: Accelerating Cancer Innovation URL:https://www.scilifelab.se/event/scilifelab-science-summit-2/ LOCATION:Uppsala Konsert & Kongress (UKK)\, Vaksala torg 1\, Uppsala\, 753 31\, Sweden CATEGORIES:Event ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2025/12/Hemsidan_feature-image-kopiera.jpg ORGANIZER;CN="SciLifeLab Event":MAILTO:events@scilifelab.se END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Stockholm:20261109T113000 DTEND;TZID=Europe/Stockholm:20261110T123000 DTSTAMP:20260907T080412Z CREATED:20260413T092109Z LAST-MODIFIED:20260907T080412Z UID:10001800-1794223800-1794313800@www.scilifelab.se SUMMARY:DDLS Annual Conference 2026 DESCRIPTION:The Data-Driven Life Science (DDLS) program\, funded by the Knut and Alice Wallenberg Foundation (KAW)\, warmly welcomes you to the 5th DDLS Annual Conference\, taking place November 9-10\, 2026\, at Aula Magna\, Frescati Campus\, Stockholm. \n\n\n\nTarget Group: Anyone interested in data-driven life science is welcome to attend the Conference. You don´t need to be part of the SciLifeLab & Wallenberg National Program for Data-Driven Life Science\, even though the conference focuses on achievements and highlights program activities. \n\n\n\nThis two-day\, in-person event will highlight DDLS research and activities\, showcase new technologies and services available to researchers across Sweden\, and provide a forum for knowledge exchange and collaboration. Participants will have the opportunity to: \n\n\n\n\nShare and discuss research findings\n\n\n\nExplore ideas and insights across disciplines\n\n\n\nBuild networks for collaboration and career development\n\n\n\nGain perspectives beyond their own fields of expertise\n\n\n\n\nThe conference begins with a light network lunch and registration on November 9 (11:30–12:30) and concludes with a networking lunch on November 10 (12:30–13:30). \n\n\n\nKeynotes\n\n\n\n\n\nLindsay EdwardsDr Lindsay Edwards\, Chief Technology Officer and President of PlatformsRelation Therapeutics\n\n\n\n\n\nKaroline FaustAssociate Professor and head of the Lab of Microbial Systems BiologyKU Leuven\n\n\n\n\n\nPreliminary program\n\n\n\nNovember 9 \n\n\n\n11:00Registration opens11:30Light lunch12:30Introduction and WelcomeKeynote – Lindsey EdwardsPanel Discussion14:00Poster session I with Coffee15:00DDLS Fellows talks: Nickolas Pearce (LiU)\, Jennifer James (UU)\, Björn Forsberg (LiU)Meet the new DDLS FellowsPresentation of NAISS – Erik Lindahl16:30Poster session II with mingle17:30End of day\n\n\n\nNovember 10 \n\n\n\n09:00DDLS Fellows talks: José Cerca (NRM)\, Kaisa Thorell (GU)\, Abishek Niroula (GU)10:00Coffee break10:45Keynote – Karoline FaustPresentations of DDLS funded projectsConclusion12:40Lunch and networking13:30Optional workshops organised by SciLifeLab Data Centre:– Workshop 1: How to use LLMs to present results from your research project as a web application (register here)– Workshop 2: Public hosting of Shiny apps: hands-on workshop (register here)\n\n\n\nSee separate registration page to sign up for workshops on November 10. \n\n\n\nKeynotes\n\n\n\nLindsey Edwards\nTitle: Three impactful problems in drug discovery that might be solvable with machine learning (and what we are doing about them at Relation Therapeutics).Bio: Lindsay is an internationally recognised leader at the interface of AI\, machine learning\, computational biology\, and drug discovery. Across both academia and industry\, he has consistently advanced the translation of science into medicine using computational sciences. In his academic career in Australia and at King’s College London\, he developed innovative computational approaches to human metabolism\, hypoxia\, and respiratory physiology. His teams pioneered methods for modelling metabolic and transcriptomic data\, applying these to diverse clinical contexts including respiratory disease\, diabetes\, hypertension\, Parkinson’s disease\, and critical illness. In industry\, Lindsay founded one of the first pharmaceutical data science divisions at GSK\, embedding machine learning and data science into every stage of the discovery pipeline. As CTO of Relation Therapeutics\, he has raised over $200M\, creating one of the most significant TechBio companies rooted in scientific translation (including forging a landmark platform multi billion dollar collaboration with GSK). His role on the Scientific Advisory Board of the Schmidt Centre at the Broad Institute of Harvard and MIT further reflects his international collaborative reach\, engaging with leading global scientists at the intersection of AI and life sciences. His publication record—over 40 papers in top biomedical journals (NEJM\, JAMA\, PNAS) and premier AI/ML venues (NeurIPS\, ICML\, ICLR)—is exceptionally rare\, demonstrating dual impact across medicine and computational science. He was recently elected a Fellow of the Academy of Medical Sciences. \n\n\n\n\nKaroline Faust\nTitle: Top-down and bottom-up exploration of alternative community types in the human gut microbiome.Bio: Karoline Faust is an Associate Professor at KU Leuven who heads the Lab of Microbial Systems Biology\, which focuses on investigating microbial community dynamics in silico and in vitro. In particular\, her team is studying interactions between human gut bacteria and the resulting dynamics with synthetic communities in controlled conditions. In addition\, the team develops new tools for the analysis of microbiome data\, specifically the analysis of microbial networks. The group’s work is thus situated at the intersection of bioinformatics\, systems biology\, and microbial ecology.Affiliation: Molecular Bacteriology Unit (Rega Institute)\, Department of Microbiology\, Immunology and Transplantation\, KU Leuven \n\n\n\n\nRegistration\n\n\n\nRegister here\n\n\n\nDeadline: 21/10-26 \n\n\n\nDDLS Annual Poster Prize\n\n\n\nThe DDLS Poster Prize encourages PhD students and postdoctoral researchers to present high-quality work in data-driven life science. The award\, decided by a Scientific Committee jury\, includes a certificate and a travel grant of up to 5\,000 SEK. Conditions apply. If you present a poster\, please ensure you stay for the Poster Award Ceremony at 12:00 by the end of the Conference. \n\n\n\nDDLS Annual Conference Workshops 2026\n\n\n\nDuring the second day of the DDLS Annual Conference\, participants will have an opportunity to attend one of two workshops. The workshops are designed for researchers in data-driven life sciences at all career stages. \n\n\n\nEach workshop has a limited number of seats on a first-come\, first-served basis. Those registered after the limit is reached will be placed on a waiting list. The workshops will take place in various rooms at the Aula Magna. All workshops start at 13:30 and end 15:30. Coffee/tea and fika will be served during the workshops. \n\n\n\nFeel free to email datacentre@scilifelab.se with any questions about the workshops. \n\n\n\n \n\n\n\nRead more & register\n\n\n\nWorkshop 1. How to use LLMs to present results from your research project as a web application \n\n\n\nWorkshop 2. Public hosting of Shiny apps: hands-on workshop URL:https://www.scilifelab.se/event/ddls-annual-conference-2026/ LOCATION:Aula Magna\, Frescativägen 6\, Stockholm\, 114 18 Stockholm\, Sweden CATEGORIES:Event ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2026/03/DDLS-pressmeddelande-2026-03-25_bild-scaled.jpg ORGANIZER;CN="SciLifeLab Event":MAILTO:events@scilifelab.se END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Stockholm:20261110T133000 DTEND;TZID=Europe/Stockholm:20261110T153000 DTSTAMP:20260825T100549Z CREATED:20260825T091248Z LAST-MODIFIED:20260825T100549Z UID:10001880-1794317400-1794324600@www.scilifelab.se SUMMARY:DDLS Annual Conference 2026 workshops DESCRIPTION:During the second day of the DDLS Annual Conference 2026 held at Aula Magna at Stockholm University participants will have an opportunity to attend one of the workshops. The workshops are directed at researchers in data-driven life science in all career stages. \n\n\n\nPlease note that each workshop has a limited number of seats\, on the first come first served basis. Those registered after the limit is reached will be placed on a waiting list (and get invited to register if a spot becomes available). The workshops will take place in various rooms of the main venue of the conference – Aula Magna at Stockholm University. The workshops start at 13:30 and last for up to 2 hours. Coffee/tea and fika will be served during the workshops. \n\n\n\nFeel free to email datacentre@scilifelab.se with any questions about the workshops. \n\n\n\nWorkshops\n\n\n\nWorkshop 1. How to use LLMs to present results from your research project as a web application\n\n\n\nHeld by: team members at SciLifeLab Data Centre\, TBA \n\n\n\nWhere and when: November 10\, 2026 at 13:30-15:30\, room Spelbomskan (Frescativägen 6 Stockholm) \n\n\n\nParticipants: max 30 \n\n\n\n\nRegistration\n\n\n\n\nDescription: In case of many research projects\, there is a need to present results not only as a traditional conference or journal paper but also as an interactive web-based tool that can be used by the readers or collaborators to e.g.\, explore the project data as interactive dashboards\, test out performance of a machine learning model\, input own arbitrary parameters in a simulation tool\, etc. Building such web applications for research projects has become rather easy with the help of large language model based tools such as ChatGPT\, Mistral\, Claude\, etc. This means that researchers can build and share web applications for their research projects without learning Python for web in depth (i.e. only using scientific Python knowledge). In this workshop\, we will demonstrate a few examples of where a web-based application can be built to present the results. Subsequently\, we will show how to package the resulting application and make it available to collaborators or general public through a URL using a SciLifeLab hosting service. Participants can follow along on their own laptops and either use our examples or build web-based applications for their own research projects during the workshop. We will be using a SciLifeLab hosted LLM tool during this workshop so that no data is shared with commercial companies. \n\n\n\nParticipants will need to bring a laptop to this workshop to be able to fully participate. \n\n\n\nWorkshop 2. Public hosting of Shiny apps: hands-on workshop\n\n\n\nHeld by: Arnold Kochari (SciLifeLab Data Centre) \n\n\n\nWhere and when: November 10\, 2026 at 13:30-15:30\, room Polstjärnan (Frescativägen 6 Stockholm) \n\n\n\nParticipants: max 30 \n\n\n\n\nRegistration\n\n\n\n\nDescription: Researchers often create R Shiny applications as part of their projects and want to publish them as research output – as analysis tools with a graphical interface\, as supplementary materials for publications\, in order to make annotation easier\, etc. In order to make Shiny apps available to the collaborators or general public\, they need to be hosted somewhere and have a URL. We will start this workshop by giving an overview of what it means to create and publish Shiny apps as researcher in terms of institutional and funder requirements. We will then take a look at different hosting options for Shiny apps. During the hands-on part\, we will focus on packaging Shiny apps for hosting as Docker images. Together with the participants\, we will step-by-step package and publish an example Shiny app or the participants’ own Shiny app. If you are a researcher with an existing Shiny app you’d like to host\, or if you plan to build a Shiny app in the future\, this workshop is for you. If you already have a Shiny app you would like to host\, bring it\, and we will help you with it. \n\n\n\nExpected outcomes: After this workshop\, the participants will both have an understanding of working with Shiny apps within research projects in a Swedish university context and have practical knowledge about public hosting of Shiny apps. \n\n\n\nParticipants will need to bring a laptop to this workshop to be able to fully participate. URL:https://www.scilifelab.se/event/ddls-annual-conference-2026-workshops/ LOCATION:Aula Magna\, Frescativägen 6\, Stockholm\, 114 18 Stockholm\, Sweden CATEGORIES:Event ORGANIZER;CN="SciLifeLab Data Centre":MAILTO:datacentre@scilifelab.se END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Stockholm:20261126T083000 DTEND;TZID=Europe/Stockholm:20261126T170000 DTSTAMP:20260914T120434Z CREATED:20260603T084114Z LAST-MODIFIED:20260914T120434Z UID:10001841-1795681800-1795712400@www.scilifelab.se SUMMARY:Mechanistic Modelling in Pharmacology\, Physiology\, and Neuroscience DESCRIPTION:Understanding complex biological systems requires more than data\, it demands mechanistic insight. This conference highlights how mechanistic models can integrate clinical and experimental data with computational approaches. \n\n\n\n\n\n\n\nThe volume and complexity of life science data are growing at an unprecedented pace. While computational tools are increasingly used to structure and analyze these data\, there remains a critical gap in our ability to understand the data in a mechanistic and physically realistic way. Bridging this gap is essential for uncovering the fundamental principles that govern the function of molecules\, cells\, organs\, and entire organisms. \n\n\n\nMechanistic models play a central role in this effort and are key to advancing applications such as the development of new pharmaceuticals and improved clinical interventions. However\, progress is often hindered by the lack of a shared language between experimental scientists\, clinicians\, and computational researchers. \n\n\n\nThis conference will bring together experts from these fields to explore state-of-the-art tools and methodologies\, discuss how they can be effectively applied\, and foster stronger integration across disciplines. By promoting collaboration and mutual understanding\, the meeting aims to accelerate progress in pharmacology\, physiology\, and neuroscience. \n\n\n\n\nClick here to Register\n\n\n\n\nRegistration deadline October 25 \n\n\n\nPreliminary Program\n\n\n\n8:30 Registration opens \n\n\n\n9:00-12:15 Morning session: Molecules and Cells \n\n\n\nOpening – Fredrik Elinder \n\n\n\n \n\n\n\nJan Ellenberg – Imaging the molecular processes of cell division across scales\nProfessor\, Director of SciLifeLab \n\n\n\nThe rapid development of new imaging technologies allows unprecedented insights into the molecular machinery inside living cells and organisms. For the first time\, light and electron microscopy have molecular sensitivity and resolving power in situ\, and\, if used together\, can connect structural detail with molecular dynamics of the whole cell. Aided by machine learning driven image analysis powered by open sharing of image data\, this provides unprecedented opportunities for new insights into the molecular mechanisms that drive life’s core functions at the scale of the cell. \n\n\n\nI will present the progress we have made to study one of life’s most fundamental functions\, cell division\, by mapping the dynamic protein network\, assembly of individual protein complexes and genome re-folding that drive it. Our work has studied cell division in human cancer cells and early mammalian embryos using advanced cross-scale imaging methods\, including light-sheet\, quantitative fluorescence correlation spectroscopy (FCS)-calibrated\, super-resolution and correlative light and electron microscopy. The quantitative integrated molecular data that these new technologies deliver\, allow us to better understand how the molecular machinery functions in space and time to ensure faithful cell division and prevent the errors that underlie congenital disease\, infertility and cancer. \n\n\n\n\nLucie Delemotte – Title TBA\nSciLifeLab fellow\, KTH Royal Institute of Technology \n\n\n\nFocus TBA \n\n\n\n\nBjörn Forsberg – Title TBA\nDDLS Fellow\, Linköping University \n\n\n\nFocus TBA \n\n\n\n\n10:15-10:45 Coffee \n\n\n\nErik Lindahl – Title TBA\nProfessor Stockholm University\, Linköping University and KTH Royal Institute of Technology\, Director of National Academic Infrastructure for Super­computing in Sweden (NAISS) \n\n\n\nFocus TBA \n\n\n\n\nFredrik Heintz – From Language to Knowledge and Back Again\nProfessor\, Linköping University\, WASP Graduate School Director \n\n\n\nFocus TBA \n\n\n\n\nSpeaker – TBA\nFocus TBA \n\n\n\n\nPanel Debate\nFocus TBA \n\n\n\n\n12:15-13:30 Lunch \n\n\n\n13:30-16:45 Afternoon Session – System Biology \n\n\n\n \n\n\n\nPetra Ritter – Trustworthy Digital Brain Twins\nProfessor\, Charité University Medicine Berlin \n\n\n\nThis talk explores the integration of mechanistic modeling\, multiscale physiological data\, and artificial intelligence to construct personalized “Digital Brain Twins” for neuroscientific research and clinical applications. It addresses the computational\, methodological\, and ethical challenges in ensuring these virtual replicas remain dynamic\, precise\, and robustly validated across spatial and temporal scales. Ultimately\, the presentation highlights frameworks for building trustworthy in silico models capable of predicting disease progression\, evaluating targeted pharmacological interventions\, and advancing personalized medicine in neurology and neuroscience. \n\n\n\n\nGunnar Cedersund – M4-HEALTH – hybrid mechanistic and machine learning digital twin models as a basis for a new ecosystem for health\nAssociate Professor\, Linköping University \n\n\n\nFocus TBA \n\n\n\n\nHenrik Jörntell – Title TBA\nProfessor\, Lund University \n\n\n\nFocus TBA \n\n\n\n\n14:30-15:00 Coffee \n\n\n\nMorten Grunnet – Neuroscience Drug discovery and AI – Opportunities and limitations\nVice President and Head of Neuroscience at Lundbeck & Affiliate Professor at University of Copenhagen \n\n\n\nHow AI and data-driven approaches are currently being integrated into neuroscience drug discovery\, and how these approaches can be combined with mechanistic understanding across different biological scales – from molecular and cellular mechanisms to circuits\, systems and ultimately clinical phenotypes. A perspective on where the main opportunities\, but also the current limitations\, of AI and mechanistic modeling in pharmaceutical research. \n\n\n\n\nEduard Kerkhoven – From pathway maps to predictive models: Human-GEM and human metabolism\nSenior Researcher\, Chalmers University of Technology \n\n\n\nMetabolic pathway maps are familiar\, but they cannot tell you what happens when a gene is lost or a nutrient runs short. Genome-scale metabolic models turn the same biochemistry into something computable and testable against real perturbations. I will introduce Human-GEM\, the community model of human metabolism\, show a few applications across tissues\, organs and disease\, and suggest that models of this kind become more valuable as omics data accumulate\, by giving those measurements a mechanistic structure to be interpreted against. \n\n\n\n\nJeanette Hellgren-Kotaleski – Title TBA\nProfessor\, KTH Royal Institute of Technology \n\n\n\nFocus TBA \n\n\n\n\nPanel Debate\nFocus TBA \n\n\n\n\nConcluding Remarks – Per Petersson & Johan Wessberg \n\n\n\n\n\n\n\nConfirmed Panelists \n\n\n\nSiv Andersson\, Professor\, Uppsala University\, Knut and Alice Wallenberg Foundation \n\n\n\nA representative from The Swedish Research Council – TBA \n\n\n\nPartners \n\n\n\nSciLifeLab & the National Committee for Pharmacology\, Physiology and Neuroscience of the Royal Academy of Sciences \n\n\n\nOrganizing committee \n\n\n\nFredrik Elinder\, Professor of Molecular Neurobiology\, Electrophysiologist\, Linköping University \n\n\n\nJohan Wessberg\, Professor and Principal Investigator Department of Physiology / Neurophysiology\, Gothenburg University \n\n\n\nPer Petersson\, Professor in the field of Neurophysiology\, Umeå University URL:https://www.scilifelab.se/event/mechanistic-modelling-in-pharmacology-physiology-and-neuroscience/ LOCATION:Royal Swedish Academy of Sciences\, Lilla Frescativägen 4A\, Stockholm\, 114 18\, Sweden CATEGORIES:Event ATTACH;FMTTYPE=image/png:https://www.scilifelab.se/wp-content/uploads/2026/06/KVA-event-banner-final-1-scaled.png ORGANIZER;CN="SciLifeLab Link%C3%B6ping":MAILTO:linkoping@scilifelab.se END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Stockholm:20270406T080000 DTEND;TZID=Europe/Stockholm:20270408T170000 DTSTAMP:20260902T145717Z CREATED:20260902T125845Z LAST-MODIFIED:20260902T145717Z UID:10001883-1806998400-1807203600@www.scilifelab.se SUMMARY:DDLS Cell & Molecular Biology 2027 theme workshop: Toward a national imaging informatics strategy DESCRIPTION:Please save the day for the 2027 workshop on the theme “Toward a national imaging informatics strategy” – hosted by DDLS Cell & Molecular Biology. \n\n\n\nMicroscopy is facing ever-increasing challenges: Datasets are reaching terabyte sizes\, computing requires software designed for GPUs\, and there is an increased demand for smart microscopy (“AI in the loop”). \n\n\n\nThis workshop will aim to answer questions such as \n\n\n\n(1) Which file formats should we use\, and how do we archive the data? \n\n\n\n(2) How do we orchestrate computing? \n\n\n\n(3) How do we integrate software\, and what new software is needed? \n\n\n\n(4) How do we get cross-HPC compatibility? \n\n\n\n(5) How do we benefit from agentic AI? \n\n\n\nTarget Group: This event aims to gather stakeholders (power users\, software developers\, HPC and core facility managers) in identifying present and future challenges (first day)\, followed by a 2-day hands-on hackathon and/or focus sessions to begin tackling the most pressing issues. \n\n\n\nRegistration will open \, limited seats available\, in-person attendance only. Travel and accommodation will be paid by participants. \n\n\n\nFor questions\, please contact johan.henriksson@umu.se URL:https://www.scilifelab.se/event/ddls-cell-molecular-biology-2027-theme-workshop-toward-a-national-imaging-informatics-strategy/ CATEGORIES:Event END:VEVENT END:VCALENDAR