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DTSTART;TZID=Europe/Stockholm:20260327T150000
DTEND;TZID=Europe/Stockholm:20260327T160000
DTSTAMP:20260405T124902
CREATED:20260128T070949Z
LAST-MODIFIED:20260206T071346Z
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SUMMARY:The Silent Crisis in Oncology Real-World Evidence — and How to Fix It
DESCRIPTION:Asieh Golozar\, founder and CEO of Nemesis Health \n\n\n\nThe programme includes a 40-minute talk followed by a 20-minute Q&A session \n\n\n\n\n\n\n\nBiography\n\n\n\nAsieh Golozar is the founder and CEO of Nemesis Health\, a company dedicated to progressing cancer research through large scale real-world evidence from a network of cancer centers. She is a physician-epidemiologist and biostatistician with more than 20 years of experience in real-world evidence generation\, observational research and evaluation of healthcare interventions within government\, academia\, and industry.  \n\n\n\nAsieh holds a PhD in Epidemiology from the Johns Hopkins University and a Master of Health Sciences in Biostatistics from Johns Hopkins University School of Public Health\, supported by a postdoctoral research fellowship award with the National Cancer Institute’s Division of Cancer Epidemiology and Genetics. She earned her medical degree from Tehran University of Medical Sciences. \n\n\n\nAfter her education\, she joined the faculty at the Johns Hopkins University Department of Epidemiology\, where she focused on cancer and diabetes epidemiology\, the application of epidemiologic and statistical methods for robust synthesis of evidence from epidemiologic data and applying evidence-based findings to strengthen public heath infrastructure and policies. She then transitioned into industry roles at Bayer AG\, AstraZeneca\, and Regeneron\, where she led lifecycle management and real-world evidence generation activities in oncology\, women’s health\, and other therapeutic areas.  \n\n\n\nCurrently\, Golozar holds the position of professor of the practice at Northeastern University\, where she is engaged in epidemiological methodology and statistics for real-world evidence. She holds faculty appointments at Johns Hopkins University in the Department of Epidemiology and the Division of GeneralInternal Medicine at the School of Medicine. Additionally\, she is the leader of the Oncology Working Group at OHDSI\, a global open source and open science collaborative. \n\n\n\nAbstract\n\n\n\nHigh-quality real-world evidence (RWE) in oncology requires detailed clinical data\, standardized representations of tumor characteristics\, and analytic methods that can be reproduced across institutions and health systems. Most oncology datasets remain fragmented\, differ in structure\, and lack the granularity needed to study treatment patterns\, biomarker-driven care\, disease trajectories\, and outcomes at scale. The OMOP Common Data Model\, together with oncology-specific conventions\, provides a harmonized framework for representing diagnoses\, histology\, stage\, biomarkers\, treatments\, and outcomes in a way that supports transparent and reproducible analytics. \n\n\n\nFALCON (Federated Alliance for Large-Scale Oncology Research) is a growing international network built on this foundation. It enables federated studies using shared methods while keeping data securely within each institution. Early applications of this approach have demonstrated its ability to characterize real-world treatment patterns\, evaluate guideline relevance\, study disease progression\, and support methodological development across diverse populations and health-care environments. \n\n\n\nThis talk will present the scientific foundations\, methodological considerations\, and early results demonstrating how standardized data and federated analytics can advance oncology RWE. The work highlights opportunities for deeper collaboration across pathology\, oncology\, genomics\, and data science to build scalable\, trustworthy real-world evidence for cancer research. \n\n\n\nRegistration\n\n\n\nAbout Clinical Talks\n\n\n\nClinical Talks returns with a new season! \n\n\n\nAfter seven successful seasons and over seventy dedicated speakers\, we are excited to continue showcasing the contributions of our diverse clinical\, academic\, and industry life science community. This season will feature ten insightful talks following our well-established format. \n\n\n\nThe overarching theme is “How to Achieve Feasible Implementation.” Sessions are held monthly \,usually on Fridays via Zoom\, with occasional exceptions. Each talk will be followed by an engaging Q&A session\, moderated by standing host Rikard Fred and a guest moderator with subject matter expertise to enrich the discussion. \n\n\n\nIn today’s rapidly evolving post-pandemic landscape\, exploring how academic\, clinical\, and industry research\, combined with technological advancements\, can drive practical and sustainable solutions is crucial. Join us for an opportunity to gain fresh insights\, expand your knowledge\, and connect with experts shaping the future of life sciences! \n\n\n\nClinical Talks are organised by SciLifeLab.
URL:https://www.scilifelab.se/event/the-silent-crisis-in-oncology-real-world-evidence-and-how-to-fix-it/
LOCATION:Online event via Zoom
CATEGORIES:Event
ORGANIZER;CN="Clinical Talks":MAILTO:precisionmedicine@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260327T130000
DTEND;TZID=Europe/Stockholm:20260327T143000
DTSTAMP:20260405T124902
CREATED:20260323T075157Z
LAST-MODIFIED:20260323T075157Z
UID:10001781-1774616400-1774621800@www.scilifelab.se
SUMMARY:From Ancient Mammoth RNA to modern RNA-seq
DESCRIPTION:Ancient RNA expression profiles from the extinct woolly mammoth \n\n\n\nAncient DNA has revolutionized our understanding of extinct and extant organisms\, enabling the reconstruction of lost ecosystems and their long-gone inhabitants. However\, our knowledge of ancient biology has been largely constrained to information derived from short DNA fragments or low-resolution protein sequences. While these have yielded remarkable insights\, DNA primarily captures the static genetic code\, and proteins merely provide a partial view of the coding fraction of the genome. Trapped in between lies RNA\, a molecular intermediate long dismissed as too transient and unstable to survive far beyond cell death. \n\n\n\nIn this seminar\, I describe our work extracting\, sequencing and characterizing RNA expression profiles from 10 woolly mammoths dating to the Late Pleistocene. One of these\, dated to ~39\,000 YBP\, yielded sufficient detail to recover tissue-specific biological functions essential for skeletal muscle and skin metabolism. Our findings represent the oldest ancient RNA sequences recorded to date\, enabling the reconstruction of transcriptional signatures in the extinct woolly mammoth. \n\n\n\nWith these results\, I will showcase the potential to study ancient RNA molecules decoding preserved transcriptomes from deep time\, and propose future directions and perspectives on the unrealized potential of RNA to illuminate developmental biology\, infectious disease history\, and the dynamic regulatory landscapes of ancient life. \n\n\n\n\n\n\n\nAbout the main speaker: \n\n\n\nDr. Emilio Mármol Sánchez is a research fellow in the Center for Evolutionary Hologenomics at the University of Copenhagen. Trained as a veterinarian and bioinformatician\, he began his research career in Barcelona by studying gene regulatory networks and RNA biology in domestic animals. After completing his PhD in 2020\, he transitioned into the emerging field of ancient transcriptomics\, where during his postdoctoral work in Stockholm he developed novel laboratory and computational approaches for the isolation\, sequencing\, and computational analysis of ancient and historical RNA from extinct species. \n\n\n\nNow based in Copenhagen\, his research is focused on a multi-omics approach to develop novel methods applied to historical and ancient animal specimens\, spanning short- and long-read DNA sequencing\, RNA profiling\, chromatin reconstruction\, epigenetic inference\, and spatial deconvolution. Through such integrative framework\, his work aims to reconstruct the functional biology of the past using molecular technologies of the present. \n\n\n\nAbout the event: \n\n\n\nThe event is organized by BioNordika AB. Marc Friedländer (SU) will introduce the event and Klaus Tangsgaard (New England Biolabs) will talk about emerging RNA-seq approaches after the ancient RNA seminar. \n\n\n\n \n\n\n\nRegister here
URL:https://www.scilifelab.se/event/from-ancient-mammoth-rna-to-modern-rna-seq/
LOCATION:Air&Fire\, SciLifeLab Stockholm\, Tomtebodavägen 23A\, Solna\, Sweden
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://www.scilifelab.se/wp-content/uploads/2026/03/mammoth.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260326T100000
DTEND;TZID=Europe/Stockholm:20260327T170000
DTSTAMP:20260405T124902
CREATED:20260305T130632Z
LAST-MODIFIED:20260305T130632Z
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SUMMARY:AESPIRE & Clinical Genomics Epigenetics
DESCRIPTION:Epigenetics & AI Meeting \n\n\n\n\n\n\n\n\nRegister here\n\n\n\nOn March 26-27th there will be a meeting in Linköping cohosted between SciLifeLab Clinical Genomics and the AESPIRE excellence cluster group and we have an exciting line-up of speakers. \nThe theme for the meeting is epigenetics and AI and we will be especially looking at practical applications in the areas of forensic science\, rare disease and cancer. The meeting will consist of a number of sessions with leading experts in the area\, with the opportunity to network and discuss current plans for implementation of novel techniques as well as possible future directions. There will also be presentations from the PROMISE (Tuuli Lappalainen) and AIDx (René  Kaden) excellence clusters at the meeting. \n\nThere will also be updates on long-read sequencing applications\, industry presentations and chances to interact with a range of attendees working in this interdisciplinary area. Registration is free\, please use the link provided no later than March 24. \n\n\nOrganizers \nColum Walsh & Anita Öst\, on behalf of the Clinical Genomics Epigenetics and AESPIRE teams \n\nSessions include \n\nForensics\nFertility\nRare Disease\nAI approaches\nCancer\nLeveraging large clinical datasets\n\nSpeakers include \nManfred Kayser\, Erasmus University\, Netherlands  \nColm Nestor\, Linköping University \nBekim Sadikovic\, London Health Centre Ontario \nFrida Abel\, Sahlgrenska Hospital \nSkarphéðinn Halldórsson\, Oslo University Hospital \nFredrik Heintz\, Linköping University \nDavid Gisselsson Nord\, Lund University \n …and many more national and international guests! Scroll down to see the final program. \n  \nFor accommodation\, we recommend Quality Hotel Ekoxen\, the location of the meeting\, or Scandic Frimurarhotellet\, close to the railway station. Note that breakfast may be booked separately.  \n\n\n\nEkoxen\n\n\n\nScandic\n\n\n\n\n \n\n\n\n \n\n\n\nProgram\n\n\n\n\n\n\n\n\n\nAESPIRE & 2nd CG Epigenetics Workshop Program_v11Download
URL:https://www.scilifelab.se/event/aespire-clinical-genomics-epigenetics/
LOCATION:Quality Hotel Ekoxen\, Linköping\, Klostergatan 68\, Linköping\, 582 23\, Sweden
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2026/03/Picture-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260325T150000
DTEND;TZID=Europe/Stockholm:20260325T160000
DTSTAMP:20260405T124902
CREATED:20260320T131513Z
LAST-MODIFIED:20260320T131514Z
UID:10001773-1774450800-1774454400@www.scilifelab.se
SUMMARY:Advanced multimodal nano-analytical capabilities on FIB instruments using SIMS: new developments\, applications and prospects
DESCRIPTION:This month’s Mass Spectrometry Imaging webinar introduces the development of an advanced multimodal imaging approach at nanoscale resolution\, integrating techniques such as focused ion beam imaging\, helium ion microscopy\, transmission electron microscopy\, scanning probe microscopy\, and NanoSIMS. Applications across a range of research areas will be presented. \n\n\n\n \n\n\n\n🕒 Time: 15:00–16:00 (presentation and discussion)☕ Followed by: Informal discussion with the speaker\, 16:00–16:30📍 Format: Zoom \n\n\n\n\nZoom link\n\n\n\n\nMeeting ID: 615 5936 0769Passcode: 338971 \n\n\n\nAbout the speaker\n\n\n\n\n\nDr. Tom Wirtz is Head of Unit for Scientific Instrumentation and Process Technology (SIPT) at the Luxembourg Institute of Science and Technology (LIST). He is the author or co-author of 160 peer-reviewed articles and holds 13 patents. \n\n\n\nHis research focuses on nano-analytics\, combining high lateral resolution with highly sensitive chemical analysis through correlative approaches. Examples include the in situ integration of secondary ion mass spectrometry with focused ion beam (FIB) instruments\, helium ion microscopy\, transmission electron microscopy\, and scanning probe microscopy. \n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\nSpeaker  \n\n\n\n\n\n \n\n\n\n \n\n\n\n\n\n\n\nSchematic overview of the different FIB techniques. See Roadmap for focused ion beam technologies\, Appl. Phys. Rev. 10\, 041311
URL:https://www.scilifelab.se/event/advanced-multimodal-nano-analytical-capabilities-on-fib-instruments-using-sims-new-developments-applications-and-prospects/
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://www.scilifelab.se/wp-content/uploads/2026/02/Paper1_crop.png
ORGANIZER;CN="SciLifeLab Gothenburg":MAILTO:gothenburg@scilifelab.se
LOCATION:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260325T140000
DTEND;TZID=Europe/Stockholm:20260325T150000
DTSTAMP:20260405T124902
CREATED:20260318T102028Z
LAST-MODIFIED:20260318T102029Z
UID:10001776-1774447200-1774450800@www.scilifelab.se
SUMMARY:What stories can metabolites tell? Exploring data from cohorts to the individual
DESCRIPTION:Gabi Kastenmüller\,  Computational Health Center / ICB\, Helmholtz Munich \n\n\n\nAbstract\n\n\n\nMetabolites provide a direct readout of biological processes and therefore offer unique opportunities to study metabolism across populations and within individuals. In this talk\, I will give examples on how analysis and integration of metabolomics data from large cohort studies as well as smaller\, more specific challenge studies can help uncover relationships between metabolism\, genetic risk\, environmental exposures\, and health. The presentation will highlight three complementary perspectives on human metabolomics studies\, using examples from our own research. First\, I will show how genetic variation influences metabolite levels and how shared metabolite signatures across diseases can point to common biological pathways\, providing a molecular\, mechanism-oriented view on disease. Next\, I will illustrate how combining metabolite and genetic information may help stratify patients in the context of Alzheimer’s disease and its prevention. Finally\, I will discuss the potential of longitudinal metabolite profiles to monitor health and capture individual metabolic changes over time. Rather than focusing on technical aspects\, the talk aims to inspire thinking about metabolomics data analysis as a helpful tool in exploring metabolism in health and disease. \n\n\n\nBiography\n\n\n\nDr. Gabi Kastenmüller is an expert in the analysis\, integration\, and interpretation of metabolomics data and is heading a research group on Systems Metabolomics at Helmholtz Munich\, Germany. Having a background in chemistry and computer science\, she moved into bioinformatics for her PhD\, which she received from the Technische Universität München\, Germany\, in 2009. During her postdoctoral training at Karsten Suhre’s lab and a four-months stay as a visiting scientist at Metabolon Inc.\, USA\, she found her passion in metabolomics and was involved in the analysis of one of the first mass spectrometry-based metabolomics studies at large scale in two population-based cohorts. Inspired by the substantial metabolic individuality uncovered in these studies\, she started her own lab in 2011 with the goal to understand the role of metabolism and metabolic individuality in the development\, treatment\, and prevention of complex human diseases\, including Alzheimer’s disease. Thereby\, her team is particularly interested in a detailed\, systems-level understanding of which factors\, such as genotype\, lifestyle\, and microbiome composition\, shape and influence one’s personal metabolome and its changes over time. To this end\, her group experienced in computational biology collaborates with epidemiologists\, clinicians\, nutrition and sports scientists. Leveraging and integrating large-scale omics data within these collaborations enabled characterization of the human metabolic individuality in many cohorts and conditions\, including individuality in the response to physiological stimuli such as exercise or intake of specific food. \n\n\n\n \n\n\n\nHost: Elena Dracheva\, NBIS (elena.dracheva@scilifelab.se) \n\n\n\nBroadcast link (live event):  https://umu.zoom.us/j/61077879409 \n\n\n\nThe talk is sponsored by the NBIS course Introduction to Metabolomics Data Analysis. \n\n\n\nA recording  will also be available on the NBIS YouTube channel.
URL:https://www.scilifelab.se/event/what-stories-can-metabolites-tell-exploring-data-from-cohorts-to-the-individual/
LOCATION:Online event via Zoom
CATEGORIES:Event
ORGANIZER;CN="BiG Talks":MAILTO:info@nbis.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260324T150000
DTEND;TZID=Europe/Stockholm:20260324T160000
DTSTAMP:20260405T124902
CREATED:20260306T140203Z
LAST-MODIFIED:20260306T140204Z
UID:10001769-1774364400-1774368000@www.scilifelab.se
SUMMARY:Application of advanced imaging technology for cell-type specific neural\, neuromodulatory and astrocytic signalling in vivo
DESCRIPTION:Sofie Ährlund-Richter\, The Picower Institute for Learning and Memory\, Massachusetts Institute of Technology (MIT) \n\n\n\nTitle: Prefrontal Cortex Feedback Reshapes the Representation and Routing of Visual Information \n\n\n\nHow does the brain determine which sensory signals are behaviorally relevant\, and how are these signals routed across cortical networks? Top-down feedback from the prefrontal cortex (PFC) has long been proposed to play a central role in shaping sensory processing\, yet the circuit-level mechanisms by which distinct prefrontal pathways modulate sensory representations remain poorly understood. \n\n\n\nHere we investigate how anatomically and functionally distinct prefrontal subregions influence visual processing in primary visual cortex (VISp). Using a combination of axonal tracing\, two- photon calcium imaging\, and projection-specific chemogenetic perturbations in behaving mice\, we show that inputs from the anterior cingulate cortex (ACA) and orbitofrontal cortex (ORB) exert dissociable and context-dependent effects on visual responses. Our findings demonstrate that prefrontal feedback is not a uniform gain signal but instead operates through modular pathways that differentially shape sensory representations according to internal state and behavioral context. Building on these results\, we are developing next-generation in vivo approaches to uncover the cell-type-specific logic underlying cortical communication. By combining spectral unmixing–based two-photon imaging\, projection-defined labeling\, and targeted perturbations\, we can simultaneously image multiple\, defined VISp neuron populations distinguished by their long-range outputs. This strategy enables direct observation of how prefrontal feedback redistributes visual information across parallel cortical output channels in real time. \n\n\n\nTogether\, this work reveals how top-down control dynamically restructures sensory representations and routing in the cortex. By defining circuit principles of prefrontal modulation\, these findings provide a framework for understanding how disruptions in feedback control may contribute to altered perception and cognition in neurodevelopmental disorders. \n\n\n\nTalk 2:  \n\n\n\nIakovos Lazaridis\, McGovern Institute for Brain Research\, Massachusetts Institute of Technology (MIT) \n\n\n\nTitle: Striosomes and astrocytes shape striatal dopamine during behavioral state transitions \n\n\n\nAbstract: Basal ganglia circuits\, modulated by striatal dopamine\, support reinforcement learning\, action selection\, and behavioral flexibility. Integrating two independent lines of evidence\, we propose a framework in which striosomes set nigrostriatal output while dorsal striatal astrocytes gate local dopamine availability during behavioral state transitions. Using projection-defined circuit mapping and perturbations\, we show that striosomal D1 spiny projection neurons (SPNs) project directly to the substantia nigra pars compacta (SNpc)\, whereas striosomal D2 SPNs route indirectly via a central external globus pallidus node\, forming opponent pathways whose net influence on dopamine differs from matrix circuits. Astrocytes exhibit Ca²⁺ transients time-locked to SNpc-evoked dopamine release\, and selective astrocyte activation reduces subsequent dopamine availability without affecting spontaneous locomotion. In a probabilistic decision task\, large astrocytic Ca²⁺ events are enriched during disengagement and precede re-engagement; astrocyte signals predict upcoming state transitions and engagement more strongly than trial outcomes\, consistent with state-level regulation rather than action coding. Dopamine-dependent astrocytic adenosine release may provide a local mechanism for regulating dopamine availability while biasing D1/D2 signaling\, enabling flexible rebalancing of striatal output across behavioral states. Together\, these results link striosomal compartmental architecture to motivational control and reveal a glial gate on dopamine dynamics. \n\n\n\nHost: Iskra Pollak Dorocic
URL:https://www.scilifelab.se/event/application-of-advanced-imaging-technology-for-cell-type-specific-neural-neuromodulatory-and-astrocytic-signalling-in-vivo/
LOCATION:Milkyway SciLifeLab Solna\, Tomtebodavägen 23\, Solna
CATEGORIES:Event
ORGANIZER;CN="SciLifeLab Event":MAILTO:events@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260324T110000
DTEND;TZID=Europe/Stockholm:20260324T120000
DTSTAMP:20260405T124902
CREATED:20260115T132710Z
LAST-MODIFIED:20260209T095745Z
UID:10001721-1774350000-1774353600@www.scilifelab.se
SUMMARY:The MaLDReTH map of tools used in the research lifecycle: A reference for building interoperability into research infrastructures
DESCRIPTION:MaLDReTH is a community initiative coordinated by an RDA working group. MaLDReTH maps categories of tools commonly used in each phase of the research lifecycle\, and includes examples of each tool category. The talk will explain how PRISM\, an interactive tool\, is being developed to catalogue interoperability between the tools included in MaLDReTH. It will then describe how universities and national infrastructure projects in Europe and elsewhere are referencing MaLDReTH and PRISM to design integrated research infrastructures whose components (tools) are interoperable\, enabling streamlined passage of data and metadata through the research lifecycle. \n\n\n\nDuring this online webinar Rory MacNeil will guide us through the world of MaLDReTH. \n\n\n\nPresenter: Rory Macneil\, CEO\, Research Space \n\n\n\nThis event is part of the SciLifeLab Open Science seminar series\, an event series by the SciLifeLab Data Centre and NBIS joint Data Management team. The goal of the events in this seminar series is to provide interesting interactive seminars around topics related to Research Data Management and Open Science in general\, and to foster discussions around best practices. More information about SciLifeLab Data Centre and NBIS joint Open Science seminar series: https://www.scilifelab.se/data/scilifelab-data-management-seminar-series/ \n\n\n\nIf you have suggestions for topics or presentations\, please contact us at data-management@scilifelab.se For more information or inquiries\, please contact us at  data-management@scilifelab.se \n\n\n\nMore information\n\nThis event is part of the SciLifeLab Open Science seminar series\, an event series by the SciLifeLab Data Centre and NBIS joint Data Management team.The goal of the events in this seminar series is to provide interesting interactive seminars around topics related to Research Data Management and Open Science in general\, and to foster discussions around best practices. \n\n\nResearch Data Management (RDM) concerns the organization\, storage\, preservation\, and sharing of data that is collected and analyzed during a research project. Proper planning and management of research data will make project management easier and more efficient while projects are being performed. It also facilitates sharing and allows others to validate as well as reuse the data.Open Science is a set of principles and practices that aim to make scientific research from all fields accessible to everyone for the benefits of scientists and society as a whole. Open science is about making sure not only that scientific knowledge is accessible but also that the production of that knowledge itself is inclusive\, equitable and sustainable. \n\n\nThe events are open to everyone working at or affiliated with a Swedish research institute or university. We welcome all researchers\, educational professionals\, staff\, RDM professionals\, and others with an interest in life sciences\, from all university levels. The events are informal and inclusive\, so feel welcome to join and participate in our interesting discussions! \n\n\nThe events will be recorded and published openly after the seminars on the SciLifeLab YouTube channel. The slides will be made available at our SciLifeLab Data Repository.More information about SciLifeLab Data Centre and NBIS joint Open Science seminar series: https://www.scilifelab.se/data/scilifelab-data-management-seminar-series/ \n\n\nIf you have suggestions for topics or presentations\, please contact us at data-management@scilifelab.seFor more information or inquiries\, please contact us at  data-management@scilifelab.se
URL:https://www.scilifelab.se/event/openscience-maldreth/
LOCATION:Online event via Zoom
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://www.scilifelab.se/wp-content/uploads/2024/02/DC_seminar-series_background1-1.png
ORGANIZER;CN="Open Science Seminar Series":MAILTO:data-management@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260324T090000
DTEND;TZID=Europe/Stockholm:20260325T170000
DTSTAMP:20260405T124902
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
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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260323T151500
DTEND;TZID=Europe/Stockholm:20260323T161500
DTSTAMP:20260405T124902
CREATED:20260310T152728Z
LAST-MODIFIED:20260310T152729Z
UID:10001771-1774278900-1774282500@www.scilifelab.se
SUMMARY:[The Svedberg seminar] - Defining Zika virus disease in maternal-fetal infection
DESCRIPTION:Jenny Go \n\n\n\n Assistant Professor in the Department of Microbiology and Immunology at the University of Minnesota\, USA \n\n\n\nBio\n\n\n\nDr. Go is an Assistant Professor in the Department of Microbiology and Immunology at the University of Minnesota where her research program is focused on understanding innate immune and inflammatory responses in the control of viral infection. She was awarded a PhD from the Department of Microbiology and Immunology at the University of Illinois at Chicago where she studied enveloped viral glycoproteins of SARS-CoV and avian H5N1 influenza virus. She completed postdoctoral training at the University of Washington in the Microbiology Department pursuing a systems biology approach to study virus-host interactions and the application of omics technologies toward infectious disease research. \n\n\n\nDefining Zika virus disease in maternal-fetal infection\n\n\n\nZika virus (ZIKV) is a mosquito-borne neuroinvasive virus that was responsible for the 2015-2016 large-scale epidemic impacting over 80 countries globally. It remains a significant public health threat due to its capacity to trigger widespread\, multifactorial outbreaks and severe fetal health outcomes\, including neurologic malformations at birth. We have used a macaque model of maternal-fetal ZIKV transmission to study virus-host interactions that underlie fetal disease and found that prenatal ZIKV exposure led to disruption of fetal myelin\, with extensive downregulation in gene expression for key components of oligodendrocyte maturation and myelin production. The molecular features of ZIKV-induced brain injury were evaluated in mixed neural cultures at single-cell resolution and we identified astrocytes as important innate immune cells\, while neural stem cells supported high levels of viral replication. Our findings reinforce the serious nature of ZIKV infection during pregnancy and the need for effective drugs or vaccines to prevent ZIKV congenital infection. \n\n\n\n \n\n\n\nHost:  Jan Komorowski jan.komorowski@icm.uu.seUU
URL:https://www.scilifelab.se/event/the-svedberg-seminar-jenny-go/
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
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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260323T140000
DTEND;TZID=Europe/Stockholm:20260323T150000
DTSTAMP:20260405T124902
CREATED:20260206T154723Z
LAST-MODIFIED:20260313T100358Z
UID:10001750-1774274400-1774278000@www.scilifelab.se
SUMMARY:Decoding Enhancer-Mediated Gene Regulation with CAGE-seq and Deep Learning
DESCRIPTION:Michiel de Hoon\, RIKEN center\, Japan \n\n\n\n\n\n\n\nAbstract\n\n\n\nPrecise regulation of gene expression is fundamental to cellular identity and behavior\, and gene dysregulation is a common feature across a wide variety of diseases.  At the molecular level\, this regulation is orchestrated by transcription factors acting on non-coding regulatory elements at promoters and distal enhancers. Genome-wide association studies have shown that disease-associated variants are enriched in enhancer elements\, and somatic mutations in these regulatory regions can contribute to diseases such as cancer. As it is often unclear how such variants influence gene expression\, connecting enhancers to their target promoters is a key step toward understanding the regulatory basis of pathogenic gene expression.Cap Analysis Gene Expression (CAGE-seq)\, originally developed at RIKEN\, provides an unbiased and quantitative genome-wide view of transcription initiation at single-nucleotide resolution. Beyond quantitating mRNAs and long non-coding RNAs\, CAGE-seq revealed widespread transcription at enhancers\, enabling their systematic identification and quantitative characterization. While traditional bioinformatics approaches have focused on genome annotation and expression analysis\, emerging neural network frameworks now enable inference of enhancer–promoter interactions directly from sequencing data. \n\n\n\nIn this presentation\, I will highlight the use of AI-based sequence-to-function frameworks that can predict transcriptional activity directly from genomic sequence. When combined with CAGE-seq\, these approaches enable the construction of context-specific regulatory maps linking enhancer activity to gene expression. Using examples from leukemia\, I will illustrate how CAGE-seq data\, analyzed using deep learning\, support a systematic interpretation of inter-patient heterogeneity in gene regulation. \n\n\n\nBiography\n\n\n\nI entered computational biology during my Ph.D. in Physics at the University of California\, Berkeley. After postdoctoral training in bioinformatics at the University of Tokyo and Columbia University\, I joined RIKEN in Yokohama\, where I became a core contributor to the FANTOM consortium\, an international effort to functionally annotate the mammalian genome. \n\n\n\nBetween 2014 and 2021\, I led the computational biology program of FANTOM6\, coordinating my research group and consortium-wide efforts to functionally annotate non-coding RNA. I am currently a tenured Senior Research Scientist at the RIKEN Center for Integrative Medical Sciences\, investigating gene regulatory mechanisms in disease\, particularly cancer. \n\n\n\nMore recently\, my research has focused on developing and applying AI-based sequence-to-function models to infer long-range gene regulatory interactions from genome and transcriptome data\, with the aim of understanding the regulatory basis of inter-patient heterogeneity in disease. \n\n\n\nHost: Pelin Sahlen pelin.akan@scilifelab.se
URL:https://www.scilifelab.se/event/decoding-enhancer-mediated-gene-regulation-with-cage-seq-and-deep-learning/
LOCATION:Air&Fire\, SciLifeLab Stockholm\, Tomtebodavägen 23A\, Solna\, Sweden
CATEGORIES:Event
ORGANIZER;CN="SciLifeLab Event":MAILTO:events@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260323T080000
DTEND;TZID=Europe/Stockholm:20260324T170000
DTSTAMP:20260405T124902
CREATED:20260203T122842Z
LAST-MODIFIED:20260203T122844Z
UID:10001748-1774252800-1774371600@www.scilifelab.se
SUMMARY:Cancer Core Europe’s 10th Annual meeting 2026 & Karolinska CCC days 2026
DESCRIPTION:Welcome to Cancer Core Europe’s 10th Annual meeting 2026 & Karolinska CCC days 2026 – a joint event to maximize oncology collaborations\, March 23-24\, 2026\, Stockholm \n\n\n\nOn 23–24 March\, Cancer Research KI and Karolinska CCC will host the Cancer Core Europe Annual Meeting and the Karolinska CCC Days 2026 in Stockholm. We look forward to two inspiring days filled with scientific discussions\, networking\, and valuable knowledge exchange.  \n\n\n\nRead more\n\n\n\nThe program is designed for all researchers and clinical staff interested in cutting‑edge cancer prevention\, research\, care and education. This year’s meeting features an engaging agenda\, including scientific presentations\, a poster session\, Cancer Core Europe updates\, and several distinguished keynote speakers: Irene Braña\, (Vall d’Hebron Institute of Oncology)\, Eric Fey\, (University of Helsinki)\, Elisabete Wiederpass\, (International Agency for Research on Cancer)\, Michael Baumann (German Cancer Research Center). \n\n\n\nWe are also pleased to present a highly engaging panel discussion with representatives from six major European cancer initiatives\, exploring how we can strengthen collaboration and work more effectively together across Europe. \n\n\n\nThe event offers a unique opportunity to connect with researchers from Karolinska CCC as well as scientists from the seven renowned Cancer Core Europe Institutes\, while gaining insights into the latest breakthroughs and developments in cancer research. \n\n\n\nDon’t miss our inspiring poster session\, showcasing a wide range of work\, from pioneering basic science to clinical studies and innovative projects shaping the future of cancer care. A prize will be awarded for the best poster.  Submit your abstract for a poster here. \n\n\n\nThe event will be held in English\, is open to all\, and free of charge. \n\n\n\nA warm welcome  \n\n\n\non behalf of CRKI and Karolinska CCC\, \n\n\n\nElias Arnér and Patrik Rossi \n\n\n\nOrganizers: \n\n\n\nCancer Research KI (CRKI) is an umbrella organization for all cancer research at Karolinska Institutet that has been working to support cancer research through various activities aimed at cancer researchers\, including several research grants and scientific meetings and other networking opportunities. CRKI is also part of Karolinska CCC. \n\n\n\nKarolinska Comprehensive Cancer Center (Karolinska CCC) is a center for cancer care and research at the hospital and institute under one roof. Karolinska CCC brings together cutting-edge expertise in highly specialized cancer care and basic\, translational and clinical cancer research. The center is a joint initiative between Karolinska University Hospital and Karolinska Institutet – and the first accredited Comprehensive Cancer Center (CCC) in Sweden. \n\n\n\nCancer Core Europe (CCE) is a collaborative and forward-thinking consortium consisting of seven leading cancer centers and research institutions. Cancer Research UK Cambridge Center (Cambridge\, UK)\, German Cancer Research Center with National Center for Tumor Diseases (Heidelberg\, Germany)\, Gustave Roussy Cancer Campus Grand Paris (Villejuif\, France)\, Fondazione IRCCS Istituto Nazionale dei Tumori (Milan\, Italy)\, Karolinska Institutet (Stockholm\, Sweden)\, Netherlands Cancer Institute (Amsterdam\, Netherlands) and Vall d’Hebron Institute of Oncology (Barcelona\, Spain). Together they work to advance cancer research and translate scientific breakthroughs into clinical practice across Europe.
URL:https://www.scilifelab.se/event/cancer-core-europes-10th-annual-meeting-2026-karolinska-ccc-days-2026/
LOCATION:Aula Medica\, Nobels väg 6\, Solna
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260320T100000
DTEND;TZID=Europe/Stockholm:20260320T110000
DTSTAMP:20260405T124902
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:20260312T093000
DTEND;TZID=Europe/Stockholm:20260313T171500
DTSTAMP:20260405T124902
CREATED:20251017T084332Z
LAST-MODIFIED:20251017T122243Z
UID:10001637-1773307800-1773422100@www.scilifelab.se
SUMMARY:Swedish Bioinformatics Workshop 2026
DESCRIPTION:The Swedish Bioinformatics Workshop (SBW) is an annual event organised by different Swedish universities since 2000\, and is the largest gathering of bioinformaticians and computational biologists in Sweden. The meeting welcomes participants from all career stages and sectors\, with a strong focus on PhD students and postdocs. \n\n\n\nThe programme will feature keynote presentations\, contributed talks\, hands-on workshops\, and a poster session\, with national and international speakers. SBW2026 aligns with the Nordic Computational Biology week. \n\n\n\nProgramme at a glance\n\n\n\n\nTwo full days of talks\, six themed sessions\, and a dedicated poster session\n\n\n\nFour hands-on workshops\n\n\n\nNetworking opportunities with national and international keynote speakers\n\n\n\n\nKeynote topics\n\n\n\n\nTranslational research\n\n\n\nMulti-omics\n\n\n\nSingle-cell technologies\n\n\n\nCancer genomics\n\n\n\nMachine learning / AI\n\n\n\nMetagenomics\n\n\n\n\nParallell Workshop Sessions (onsite participation only)\n\n\n\n\nData Management\n\n\n\nAcademic Writing\n\n\n\nData Visualization \n\n\n\nBacterial Genomics\n\n\n\n\nEvent web page and registration\n\n\n\nMore information can be found at the event web page. \n\n\n\n\n\n\nEvent web page\n\n\n\nRegistration\n\n\n\n\n\n\n\n\n\n\n\n\nRegistration fees\n\n\n\nParticipant typeEarly-bird (Dec 1\, 2025)  RegularStudents* / Postdocs at a Swedish UniversityFreeFreeOther academic participants1\,000 SEK2\,000 SEKNon-academic participants2\,000SEK3\,000 SEKOnline** Students / Postdocs at a Swedish UniversityFreeFreeOnline** other participants——-500 SEK\n\n\n\n\n* Students include all PhD students as well as Master’s students in their final thesis year. \n\n\n\n** Zoom link will be sent via e-mail. \n\n\n\n\nImportant dates\n\n\n\n\nDeadline for abstract submission: December 12\, 2025\n\n\n\nDeadline for onsite registration: January 12\, 2026\n\n\n\nDeadline for cancellation: February 23\, 2026\n\n\n\nDeadline for online registration: February 26\, 2026
URL:https://www.scilifelab.se/event/swedish-bioinformatics-workshop-2026/
LOCATION:Conference Centre Wallenberg\, Medicinaregatan 20A\, Gothenburg\, 413 90\, Sweden
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://www.scilifelab.se/wp-content/uploads/2025/10/SBWlogo.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260312T083000
DTEND;TZID=Europe/Stockholm:20260312T180000
DTSTAMP:20260405T124902
CREATED:20260127T081041Z
LAST-MODIFIED:20260202T075530Z
UID:10001734-1773304200-1773338400@www.scilifelab.se
SUMMARY:Preventive Medicine via Precision Nutrition
DESCRIPTION:The Preventive Medicine via Precision Nutrition Conference will take place at SciLifeLab in Stockholm on 12th March 2026. \n\n\n\n\n\nIt is widely known that different types of diet shape the composition of the human gut microbiome and that the gut microbiome composition plays a crucial role in several gastrointestinal diseases (i.e. colorectal cancer and inflammatory bowel diseases). The goal of this event aims to bring together experts of complementary fields like food composition\, gut microbiome\, precision nutrition and precision health to both enhance and create new communication bridges across these disciplines and promote interdisciplinary collaborations to increase the molecular understanding of how food can be leveraged as a precise intervention on individual health. Thus\, it will contribute to envisioning a future where food can be employed as preventive medicine by tailoring specific food consumption based on the individual’s gut microbiome composition and molecular needs.Overall\, the participants will gain knowledge on the ongoing research to disentangle the complex intersection between food composition\, its impact on the gut microbiome composition and precision nutrition. \n\n\n\nWe look forward to welcoming you in March 2026! \n\n\n\nPreliminary Program\nTime08:30Coffee and registrationSession 1: Food composition and health effects09:00Event intro09:05Francisco VilaplanaKTH Royal Institute of Technology 09:35Rikard LandbergChalmers University10:05Stefania GiacomelloKTH Royal Institute of Technology & SciLifeLab10:35Coffee break & poster viewingSession 2: Microbiome and disease11:00 Georg ZellerLeiden University11:30 Cecilia WilliamsKTH Royal Institute of Technology12:00 Lunch & poster viewingSession 3: Microbiome and metabolism13:00Fredrik BäckhedGothenburg University & DTU13:30 Yolanda SanzSpanish National Research Council14:00 Robert BrummerÖrebro University14:30 Coffee break & poster viewingSession 4: Preventive Nutrition15:00 Sara Andersson and Grigorios PetrousisKarolinska Hospital15:30 Christopher GardnerStanford University16:00 Round table 16:30-18:00Mingle\n\n\n\n \n\n\n\n \n\n\n\n\nParticipants\nKTH Royal Institute of Technology \n\n\n\nLeiden University \n\n\n\nGothenburg University \n\n\n\nStanford University \n\n\n\nThe Spanish National Research Council \n\n\n\nTechnical University of Denmark \n\n\n\nChalmers University \n\n\n\nKarolinska Hospital \n\n\n\nKarolinska Institutet \n\n\n\nÖrebro University \n\n\n\n\nConfirmed Speakers\nProf. Cecila Williams\, KTH \n\n\n\nProf. Fredrik Bäckhed\, GU & DTU \n\n\n\nProf. Robert Jan Brummer\, ORU \n\n\n\nProf. Rikard Landberg Chalmers  \n\n\n\nProf. Yolanda Sanz\, CSIC \n\n\n\nProf. Georg Zeller\, LUMC \n\n\n\nProf. Christopher Gardner\, Stanford \n\n\n\nProf. Francisco Vilaplana KTH \n\n\n\nAssoc. Prof. Stefania Giacomello KTH \n\n\n\nDr. Sara Andersson Karolinska Hospital \n\n\n\nDr. Grigorios Petrousis Karolinska Hospital \n\n\n\n\nOrganising committee\nStefania Giacomello \n\n\n\nFrancisco Vilaplana \n\n\n\nEmilia Marklund \n\n\n\nIsolde Palombo \n\n\n\n \n\n\n\n\nRegistration\n\n\n\n\n\n\n\nFor questions\, please contact emilia.marklund@scilifelab.se
URL:https://www.scilifelab.se/event/preventive-medicine-via-precision-nutrition/
LOCATION:Air&Fire\, SciLifeLab Stockholm\, Tomtebodavägen 23A\, Solna\, Sweden
CATEGORIES:Event
ATTACH;FMTTYPE=image/tiff:https://www.scilifelab.se/wp-content/uploads/2026/01/KTH-FOOD-logo.tif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260311T120000
DTEND;TZID=Europe/Stockholm:20260312T130000
DTSTAMP:20260405T124902
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:20260309T151500
DTEND;TZID=Europe/Stockholm:20260309T161500
DTSTAMP:20260405T124902
CREATED:20260223T084935Z
LAST-MODIFIED:20260223T084936Z
UID:10001762-1773069300-1773072900@www.scilifelab.se
SUMMARY:[The Svedberg seminar] - The evolution of new vertebrate cell types and organs
DESCRIPTION:Margarida Cardoso-Moreira \n\n\n\nPhD Group Leader of Evolutionary Developmental Biology lab at the Francis Crick Institute\, UK \n\n\n\nBio\n\n\n\nMargarida Cardoso Moreira leads the Evolutionary Developmental Biology lab at the Francis Crick Institute in London. Her lab focuses on understanding how new cells\, tissues\, and organs originate using pregnancy as a model. Margarida did her PhD research in Manyuan Long’s group at the University of Chicago. She then took a postdoctoral position in Andrew G. Clark’s group at Cornell University. While at Chicago and Cornell\, Margarida investigated the evolution of newly duplicated genes. Margarida then joined the group of Henrik Kaessmann (University of Lausanne and Heidelberg University)\, where she spearheaded a research program on the evolution of mammalian organs\, for which she received the Otto-Schmeil prize from the Heidelberg Academy of Sciences and Humanities in 2020. \n\n\n\nThe evolution of new vertebrate cell types and organs\n\n\n\nHow do new cells\, new tissues\, and entire new organs arise during evolution? Our lab investigates these questions using an organ that has evolved independently many times and is remarkably diverse: the placenta. The placenta forms through the fusion of embryonic and maternal tissues to enable the transfer of nutrients\, waste\, and more during gestation. Placentas have evolved more than 100 times independently among vertebrates\, including once in mammals. Within a family of small live-bearing fishes known as Poeciliidae\, at least nine independent origins of the placenta have occurred. This makes them excellent models for studying how new organs emerge during evolution. We combined whole-genome sequencing\, single-cell RNA and ATAC sequencing\, and imaging to uncover the molecular\, cellular\, and developmental basis of five independent origins of a placenta in Poeciliids. We found that the evolution of a novel cell type unique to Poeciliids allowed this family to transition from egg-laying to live-bearing through egg retention. This cell type was subsequently and independently co-opted five times to form the placenta in five species. Across these independently evolved placentas\, we observe strong convergence at the molecular level\, with specific genes and pathways repeatedly recruited during placental evolution. Together\, our findings provide empirical support for a model in which cell-type innovation drives the emergence of new organs and demonstrate that major life history transitions can follow predictable developmental and molecular trajectories. \n\n\n\n \n\n\n\nHost: leif.andersson@imbim.uu.se UU
URL:https://www.scilifelab.se/event/the-svedberg-seminar-margarida-cardoso-moreira/
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:20260309T140000
DTEND;TZID=Europe/Stockholm:20260309T143000
DTSTAMP:20260405T124902
CREATED:20251027T100912Z
LAST-MODIFIED:20260302T184503Z
UID:10001653-1773064800-1773066600@www.scilifelab.se
SUMMARY:CSI Seminar - Motivation: Finding it\, understanding it\, growing it
DESCRIPTION:Motivation can at first seem like something some people have and others don’t – but is this really true? How can we find motivation within ourselves and gain motivation through others? \n\n\n\nWe’ll look at how motivation can be influenced by a range of internal and external factors\, and discuss practical ways to self-reflect and implement strategies for resilience and persistence. Whether you’re a student\, researcher\, faculty member\, or simply interested in understanding more\, you are warmly invited to join this conversation. \n\n\n\nWe will begin with a ~ 20 min talk\, held in Solna and over zoom. Then proceed with a reflection and discussion held on-site. We encourage other sites to form watch parties\, by listening in together to the talk and then hold their own discussion afterwards. Hopefully seeding many local chapters of CSI. \n\n\n\nTo help facilitate discussion and reflection\, consider the following starter questions: \n\n\n\nAwareness: where do we experience rejection in our lives already? \n\n\n\nAnalysis: how well do I currently interact with rejection? \n\n\n\nAlternative: how could we relate to rejection in academia\, for ourselves and others? \n\n\n\nAction: how will knowledge of rejection in academia change my decisions going forward?
URL:https://www.scilifelab.se/event/csi-seminar-motivation/
LOCATION:Gamma 2 Lunchroom\, SciLifeLab\, Tomtebodavägen 23\, Solna\, Sweden
CATEGORIES:Event
ORGANIZER;CN="Coaching in Science Initiative (CSI)":MAILTO:sami.saarenpaa@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260309T093000
DTEND;TZID=Europe/Stockholm:20260310T120000
DTSTAMP:20260405T124902
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:20260305T100000
DTEND;TZID=Europe/Stockholm:20260305T153000
DTSTAMP:20260405T124902
CREATED:20251125T123529Z
LAST-MODIFIED:20260302T150212Z
UID:10001674-1772704800-1772724600@www.scilifelab.se
SUMMARY:Hands-on Workshop: Developing AI Agents in Life Sciences (Stockholm)
DESCRIPTION:We are delighted to invite you to join our upcoming workshop on “Developing AI Agents in Life Sciences”\, organized by SciLifeLab Data Centre. AI agents are emerging as autonomous systems that orchestrate scientific workflows by interacting with digital tools and data sources. These have various implications for life science research. They can\, for example\, simplify complex analyses by automating data integration\, run computational models\, and coordinate experimental steps\, making research pipelines more efficient and reproducible. In this on-site hands-on workshop held at Air & Fire\, SciLifeLab building in Solna\, we will introduce and discuss AI Agents in life science\, and engage in collaborative practical sessions. Welcome! \n\n\n\nDate: 2026-03-05Time: 10.00-15.30 (coffee will be served from 9.30). Fika and lunch provided free of charge. Location: room Air & Fire\, SciLifeLab\, Tomtebodavägen 23\, Solna. No remote participation. \n\n\n\nTarget audience: Researchers\, PhD students\, research infrastructure interested in learning more about and trying hands-on exercises with AI Agents. Participants with any university affiliation and industry researchers are welcome. Basic Python programming skills are required; previous experience working with Jupyter notebooks would be helpful. Participants must bring their own laptop. \n\n\n\nSpeakers and Facilitators:  Chris Long Huynh (PhD candidate\, Uppsala University)\, and Mahbub Ul Alam and Johan Alfredéen (Data Engineers (AI) at SciLifeLab Data Centre). \n\n\n\nThe workshop will feature a series of engaging presentations\, interactive discussions\, and collaborative sessions focusing on: \n\n\n\n\nIntroduction to AI agent technologies\n\n\n\nApplications\, opportunities and challenges of AI Agents in life science\n\n\n\nHands-on tutorials with reasoning models\, LangChain and MCP servers\n\n\n\nDiscussions on the role of AI agents in shaping the future of life science\n\n\n\n\nAgenda \n\n\n\n09:30-10:00 Light breakfast and networking \n\n\n\n10.00-10.15 Presentation session 1: Introduction: Exploring how AI agents can transform life sciences. Speaker: Johan Alfredéen. \n\n\n\n10.15-10.30 Demonstration Session: AI agents in action. Facilitators: Mahbub Ul Alam. \n\n\n\n10:30-12:00 Hands-on Session 1: Developing AI agents with LangChain & ReAct. Session Facilitators: Dinh Long Huynh\, Mahbub Ul Alam.  \n\n\n\n12:00-13:00 Lunch and networking \n\n\n\n13:00-13:30 Continuation of Hands-on Session 1: Developing AI agents with LangChain & ReAct. \n\n\n\n13:30-15:00 Hands-on Session 2: AI agent collaboration with the Model Context Protocol (MCP). Session Facilitators: Mahbub Ul Alam\, Johan Alfredéen\, Dinh Long Huynh. \n\n\n\n15:00-15:15 Presentation Session 2: Deploying AI Agents: Legal\, Technical\, and Practical Considerations. Speaker: Johan Alfredéen. \n\n\n\n15:15-15:30 Concluding Session: Open Q&A  \n\n\n\n15:30 Fika and networking \n\n\n\nRegistration: Please add dietary restrictions to your registration. If you cannot join please cancel your registration. Please register with your SciLifeLab or university email.  \n\n\n\n\nRegistration\n\n\n\n\nThis event is a organised by SciLifeLab Data Centre. For questions please contact  serve@scilifelab.se .
URL:https://www.scilifelab.se/event/ai-agents-in-life-science-stockholm/
LOCATION:Air&Fire\, SciLifeLab Stockholm\, Tomtebodavägen 23A\, Solna\, Sweden
CATEGORIES:Event
ORGANIZER;CN="SciLifeLab Data Centre":MAILTO:datacentre@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260305T090000
DTEND;TZID=Europe/Stockholm:20260305T103000
DTSTAMP:20260405T124902
CREATED:20260130T103559Z
LAST-MODIFIED:20260130T104337Z
UID:10001741-1772701200-1772706600@www.scilifelab.se
SUMMARY:User meeting for your multi-modal research projects
DESCRIPTION:Boost your research — Book a private SciLifeLab planning and feedback session for your multi-modal research projects! \n\n\n\nRegister here \n\n\n\nOnce we have received your registration\, you will be sent the link to the online meeting. \n\n\n\nDate: March 5 9.00 – 10.30 Registration deadline: February 27 \n\n\n\nMultimodal molecular profiling and novel computational methods are transforming life science research\, but also pose new challenges in study design\, project resource planning and data management. SciLifeLab is a national resource of unique technologies and expertise available to life scientists\, in areas such as biomedicine\, ecology and evolution\, aiming to bring scientists together across traditional boundaries and foster collaborations with industry\, health care\, public research organizations and international partners. \n\n\n\nThe first Thursday of every month at 9.00 (except July and August)\, SciLifeLab offers an opportunity to jointly meet with representatives across the SciLifeLab service platforms\, to get feedback and help to plan\, design\, and refine new or ongoing multimodal research projects. Your project plans are discussed privately and remain confidential\, and information will not be shared outside of the service platforms. Note that for most studies\, follow-up meetings will be needed\, but our aim for these meetings is to provide an easy-access entry point for an overarching planning of multimodal studies. \n\n\n\nFor studies focusing on a single technology only\, please primarily contact our service platforms directly as described at the SciLifeLab homepage. \n\n\n\nTo make the best out of the allotted time\, we ask you to provide some background information about your project\, to help us ensure that the relevant experts are available to discuss your study.
URL:https://www.scilifelab.se/event/user-meeting-for-your-multi-modal-research-projects-5/
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2026/01/AdobeStock_1081766437-scaled-1.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260304T100000
DTEND;TZID=Europe/Stockholm:20260304T120000
DTSTAMP:20260405T124902
CREATED:20260121T151158Z
LAST-MODIFIED:20260303T142729Z
UID:10001730-1772618400-1772625600@www.scilifelab.se
SUMMARY:Shaping the Future with Breakthrough Technologies in Healthcare
DESCRIPTION:Breakthrough Technologies in Molecular Life Science to Power Precision Medicine and the Future of Healthcare in Sweden \n\n\n\nYou are warmly invited to a dialogue event with the aim of bringing together healthcare\, academia\, industry\, and other stakeholders to explore a national initiative for the future of translational healthcare in Sweden. \n\n\n\nBy 2035\, Sweden has the ambition to become a world leader in translating breakthrough biotechnology and AI into patient-centered healthcare. This event will discuss the vision for an excellence cluster that integrates SciLifeLab cutting-edge molecular life science technologies with AI-driven data analysis at university hospitals across the country. At its core are joint units where clinicians\, researchers\, and technology experts work side by side to accelerate diagnosis\, personalize treatment\, and enable data-driven clinical decision support. \n\n\n\nDuring the event\, we will present the preparatory project\, outline a national collaboration between research infrastructure\, healthcare systems\, and industry. The event will also address how this initiative can strengthen Sweden’s competitiveness\, attract investment and deliver benefits for patients and society.  \n\n\n\nRegister here\n\n\n\nWe look forward to welcoming you to a forward-looking dialogue on how together we can transform healthcare through breakthrough technologies and AI. \n\n\n\nRead more about SciLifeLabs work within translation to healthcare here. \n\n\n\nProgram\n\n\n\n09:30Coffee for onsite participants – outside “Torsten Wiesel”Karolinska university Hospital\, Solnavägen 30\, Solna10:00Introduction– Jan Ellenberg\, Director SciLifeLab– Mia Phillipson\, Co-Director SciLifeLab10:10Stakeholder Reflections– Annika Östman Wernerson\, President Karolinska Institutet– Mathias Axelsson\, Managing director medical diagnostics\, Karolinska University Hospital10:20Key objectives for translation to healthcare – data\, technology & innovationValtteri Wirta\, Päivi Östling\, Per Lek10:50Examples from translational projects – When symptoms are vague\, proteins can point the way\, Mikael Åberg\, Uppsala University\, Axel Rosell\, Karolinska Institutet and Charlotte Thålin\, Karolinska Institutet– Predicting  response to immunotherapy and antibody-drug conjugate therapy using Spatial Proteomics\, Charlotte Stadler\, KTH and Anders Ullén\, Karolinska Institutet11:15Panel discussion – Q&A11:45Summary & Next steps12:00Light lunch for on-site participants
URL:https://www.scilifelab.se/event/shaping-the-future-with-breakthrough-technologies/
LOCATION:Torsten Wiesel\, Karolinska University Hospital\, Solnavägen 30\, Solna\, Sweden
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://www.scilifelab.se/wp-content/uploads/2026/01/Translation-to-Healthcare-4-mars.png
ORGANIZER;CN="SciLifeLab Event":MAILTO:events@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260303T150000
DTEND;TZID=Europe/Stockholm:20260303T160000
DTSTAMP:20260405T124902
CREATED:20260203T134458Z
LAST-MODIFIED:20260203T134500Z
UID:10001749-1772550000-1772553600@www.scilifelab.se
SUMMARY:PULSE Challenge: Brain delivery platform for large drug modalities
DESCRIPTION:Brain uptake of therapeutic modalities such as antibodies\, enzymes and other types of drug modalities is severely limited by their size due to the blood brain barrier (BBB). To address this issue\, we have developed the BrainTransporterTM (BT) technology to actively transport these molecules across the BBB using receptor-mediated transcytosis. Our technology is engineered using structural data as guidance to engage with a BBB receptor at an optimal site. \n\n\n\nHost: Per I ArvidssonModerator: Anna Ridderstad Wollberg \n\n\n\nThe seminar series PULSE Challenge is connected to the MSCA co-funded* postdoctoral program SciLifeLab PULSE\, that will train 48 future leaders in life sciences. The program focuses on innovative\, fundamental and translational research carried out in supportive and diverse academic and industrial environments\, preparing postdocs with necessary skills for long-term career sustainability. Click HERE to find out more about SciLifeLab PULSE \n\n\n\n\n\n\n\nOn-line event via Zoom \n\n\n\nRegister Here\n\n\n\n\n\n\n\n\n\n\n\n\n\nPresenter: Per-Ola Freskgård  \n\n\n\nBiography:Per-Ola Freskgård is currently Chief Scientific Officer at BioArctic AB and a member of the Research & Development Leadership Team. Per-Ola previously served as vice Director & Distinguished Scientist within the Roche Neuroscience Discovery organization in Switzerland responsible for preclinical development of the Brain Shuttle delivery technology of biologics\, which is now in clinical testing. Prior to that\, he held a Section Head position in early and late discovery at AstraZeneca within the Neuroscience area and a member of the Technology Research Review Committee within the Medimmune and AstraZeneca organizations. Before joining AstraZeneca\, Per-Ola served as Vice President and a member of the Executive Management Team at Nuevolution A/S and a co-inventor of the Chemetics technology. Prior to this\, Per-Ola was a Project Manager at Maxygen responsible for research programs of antibody mimetics and a co-inventor of the Maxybody concept. Prior to that\, Per-Ola was Head of the Discovery Research Department in the therapeutics division at Novo Nordisk A/S. Per-Ola conducted his post-doctoral fellowship in Professor Frances Arnold’s lab at the California Institute of Technology. He holds a Ph.D. in Protein Biochemistry from Linköping University\, Sweden. Authored and co-authored more than 80 per-reviewed publications and patent applications
URL:https://www.scilifelab.se/event/pulse-challenge-brain-delivery-platform-for-large-drug-modalities/
LOCATION:Online event via Zoom
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://www.scilifelab.se/wp-content/uploads/2025/02/Bild1-e1770905208628.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260303T100000
DTEND;TZID=Europe/Stockholm:20260303T110000
DTSTAMP:20260405T124902
CREATED:20260115T130937Z
LAST-MODIFIED:20260209T100109Z
UID:10001720-1772532000-1772535600@www.scilifelab.se
SUMMARY:Catalyzing Open Science in Africa through Advocacy and Strategic Partnerships
DESCRIPTION:This presentation will highlight the efforts of the Training Centre in Communication (TCC Africa) to advance open science across the African continent. It will explore how strategic partnerships\, advocacy initiatives\, and collaborative networks are driving the adoption of open science practices\, enhancing research visibility\, and fostering inclusive knowledge sharing. The audience will gain insights into TCC Africa’s approach to building sustainable frameworks\, supporting institutional capacity\, and leveraging partnerships to translate open science principles into actionable outcomes that benefit researchers\, institutions\, and communities across Africa. \n\n\n\nPresenter: Joy Owango \n\n\n\nExecutive Director\, Training Centre in Communication (TCC Africa)\, University of Nairobi\, Kenya \n\n\n\nContact information presenter: Email: joy.owango@tcc-africa.org | programs@tcc-africa.org | info@tcc-africa.org \n\n\n\nWebsite: www.tcc-africa.org \n\n\n\nFacebook: Training Centre in Communication \n\n\n\nThis event is part of the SciLifeLab Open Science seminar series\, an event series by the SciLifeLab Data Centre and NBIS joint Data Management team.The goal of the events in this seminar series is to provide interesting interactive seminars around topics related to Research Data Management and Open Science in general\, and to foster discussions around best practices. More information about SciLifeLab Data Centre and NBIS joint Open Science seminar series: https://www.scilifelab.se/data/scilifelab-data-management-seminar-series/If you have suggestions for topics or presentations\, please contact us at data-management@scilifelab.se For more information or inquiries\, please contact us at  data-management@scilifelab.se \n\n\n\nMore information\n\nThis event is part of the SciLifeLab Open Science seminar series\, an event series by the SciLifeLab Data Centre and NBIS joint Data Management team.The goal of the events in this seminar series is to provide interesting interactive seminars around topics related to Research Data Management and Open Science in general\, and to foster discussions around best practices. \n\n\nResearch Data Management (RDM) concerns the organization\, storage\, preservation\, and sharing of data that is collected and analyzed during a research project. Proper planning and management of research data will make project management easier and more efficient while projects are being performed. It also facilitates sharing and allows others to validate as well as reuse the data.Open Science is a set of principles and practices that aim to make scientific research from all fields accessible to everyone for the benefits of scientists and society as a whole. Open science is about making sure not only that scientific knowledge is accessible but also that the production of that knowledge itself is inclusive\, equitable and sustainable. \n\n\nThe events are open to everyone working at or affiliated with a Swedish research institute or university. We welcome all researchers\, educational professionals\, staff\, RDM professionals\, and others with an interest in life sciences\, from all university levels. The events are informal and inclusive\, so feel welcome to join and participate in our interesting discussions! \n\n\nThe events will be recorded and published openly after the seminars on the SciLifeLab YouTube channel. The slides will be made available at our SciLifeLab Data Repository.More information about SciLifeLab Data Centre and NBIS joint Open Science seminar series: https://www.scilifelab.se/data/scilifelab-data-management-seminar-series/ \n\n\nIf you have suggestions for topics or presentations\, please contact us at data-management@scilifelab.seFor more information or inquiries\, please contact us at  data-management@scilifelab.se
URL:https://www.scilifelab.se/event/openscience-communication-tcc-africa/
LOCATION:Online event via Zoom
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://www.scilifelab.se/wp-content/uploads/2024/02/DC_seminar-series_background1-1.png
ORGANIZER;CN="Open Science Seminar Series":MAILTO:data-management@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260303T090000
DTEND;TZID=Europe/Stockholm:20260305T150000
DTSTAMP:20260405T124902
CREATED:20260209T113653Z
LAST-MODIFIED:20260211T085120Z
UID:10001751-1772528400-1772722800@www.scilifelab.se
SUMMARY:Exhibition in Navet at BMC\, Uppsala University
DESCRIPTION:March 3-5\, between 09.00-15.00: Don’t miss the chance to discover the latest from30 top life science companies in Sweden and around the world.The entrance to Navet (BMC\, entrance C11) will be open between 09:00-15:00 for external visitors.
URL:https://www.scilifelab.se/event/exhibition-in-navet-at-bmc-uppsala-university-3/
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/2025/09/Oktober14-16_Logos_digital-sign-scaled.jpg
ORGANIZER;CN="SciLifeLab Navet":MAILTO:lokalbokning@scilifelab.uu.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260227T090000
DTEND;TZID=Europe/Stockholm:20260227T094000
DTSTAMP:20260405T124902
CREATED:20260123T100627Z
LAST-MODIFIED:20260206T071105Z
UID:10001732-1772182800-1772185200@www.scilifelab.se
SUMMARY:FOCU.SE  - The Swedish national collaborative group for the implementation of comprehensive genetic profiling in patients with advanced cancer
DESCRIPTION:The programme includes a 40-minute talk followed by a 20-minute Q&A session \n\n\n\nBiography\n\n\n\nEdvard Abel\, MD\, PhD\, is a consultant in oncology at the Dep of Oncology at Sahlgrenska Comprehensive Cancer Center in Gothenburg. He holds the position of Centre Director at Sahlgrenska CCC\, as well as Medical Lead of the Phase I/First-in-Human trial unit at the Dep of Oncology. Dr Abel is the clinical principal investigator of the coming FOCU.SE trial\, a national collaboration between Genomic Medicine Sweden\, SciLifeLab and the oncological trial units\, among others.  \n\n\n\n\n\n\n\nAbstract\n\n\n\nThe FOCU.SE trial platform provides a nationwide clinical infrastructure for the implementation of PCM in Sweden. By enabling biomarker-guided use of approved drugs within a structured clinical trial framework and supporting systematic evaluation of clinical outcomes\, the platform aims to accelerate equitable access to personalised cancer therapy across healthcare regions. In parallel\, it generates high-quality real-world evidence to support regulatory decision-making and potential expansion of indications for targeted therapies \n\n\n\nAbout Clinical Talk\n\n\n\nClinical Talks returns with a new season! \n\n\n\nAfter seven successful seasons and over seventy dedicated speakers\, we are excited to continue showcasing the contributions of our diverse clinical\, academic\, and industry life science community. This season will feature ten insightful talks following our well-established format. \n\n\n\nThe overarching theme is “How to Achieve Feasible Implementation.” Sessions are held monthly \,usually on Fridays via Zoom\, with occasional exceptions. Each talk will be followed by an engaging Q&A session\, moderated by standing host Rikard Fred and a guest moderator with subject matter expertise to enrich the discussion. \n\n\n\nIn today’s rapidly evolving post-pandemic landscape\, exploring how academic\, clinical\, and industry research\, combined with technological advancements\, can drive practical and sustainable solutions is crucial. Join us for an opportunity to gain fresh insights\, expand your knowledge\, and connect with experts shaping the future of life sciences! \n\n\n\nClinical Talks are organised by SciLifeLab. \n\n\n\nLink to Registration
URL:https://www.scilifelab.se/event/focu-se-the-swedish-national-collaborative-group-for-the-implementation-of-comprehensive-genetic-profiling-in-patients-with-advanced-cancer/
CATEGORIES:Event
ORGANIZER;CN="Clinical Talks":MAILTO:precisionmedicine@scilifelab.se
LOCATION:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260226T000000
DTEND;TZID=Europe/Stockholm:20260226T235900
DTSTAMP:20260405T124902
CREATED:20260217T114852Z
LAST-MODIFIED:20260217T115205Z
UID:10001758-1772064000-1772150340@www.scilifelab.se
SUMMARY:SciLifeLab PULSE - Q&A webinar for applicants
DESCRIPTION:This is a Q&A webinar (two time options available) for general questions on the SciLifeLab PULSE application process. Find out more about the SciLifeLab PULSE postdoc program here The deadline for the 2nd SciLifeLab PULSE Call is March 16\, 2026! \n\n\n\n\n\n\n\n\n\n\n\nWebinar registration\n\n\n\n\n\nWebinar on February 26\, 2026\, at 09:00 am\, UTC+1 \n\n\n\n\n\nRegister here\n\n\n\n\n\n\n\nWebinar on February 26\, 2026\, at 16:00 pm\, UTC+1 \n\n\n\n\n\nRegister here
URL:https://www.scilifelab.se/event/scilifelab-pulse-qa-webinar-for-applicants/
LOCATION:Online event via Zoom
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2024/12/AdobeStock_519582269-scaled-1.jpeg
ORGANIZER;CN="SciLifeLab Event":MAILTO:events@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260225T150000
DTEND;TZID=Europe/Stockholm:20260225T160000
DTSTAMP:20260405T124902
CREATED:20260218T091053Z
LAST-MODIFIED:20260218T091549Z
UID:10001755-1772031600-1772035200@www.scilifelab.se
SUMMARY:In Situ Liquid Secondary Ion Mass Spectrometry: A Unique Tool for In Situ Molecular Analysis of Solid–Liquid and Liquid–Vacuum Interfaces
DESCRIPTION:This month\, the Mass Spectrometry Imaging webinar will introduce a new development in the Secondary Ion Mass Spectrometry (SIMS) field\, so-called liquid SIMS. This webinar will demonstrate its applications in different interfaces in materials and biomaterials science.  \n\n\n\n \n\n\n\n🕒 Time: 15:00–16:00 (presentation and discussion)☕ Followed by: Informal discussion with the speaker\, 16:00–16:30📍 Format: Zoom \n\n\n\n\nZoom link\n\n\n\n\nMeeting ID: 676 5338 5002Passcode: 246386 \n\n\n\nAbout the speaker\n\n\n\n\n\nDr. Zihua Zhu\, a chemist at Pacific Northwest National Laboratory (PNNL)\, is an internationally known secondary ion mass spectrometry (SIMS) expert with extensive experience in ToF-SIMS and NanoSIMS. His research has focused on the SIMS field for over 25 years\, and he has published 160+ articles in high-impact journals. He was a key inventor (with 4 USA patents) of in situ liquid SIMS and is leading the applications of this new capability on better understanding complex chemistries occurring at solid-electrolyte interphase in novel Li ion batteries\, electro-catalysis\, biofilm growth\, cell attachment\, aerosol formation\, ion solvation and initial nucleation of nanoparticle formation. \n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\nSelected publications\n\n\n\nIn Situ Mass Spectrometric Determination of Molecular Structural Evolution at the Solid Electrolyte Interphase in Lithium-Ion Batteries\, Nano Lett. 2015\, 15\, 6170−6176 \n\n\n\n \n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\nIn Situ Mass Spectrometric Monitoring of the Dynamic Electrochemical Process at the Electrode–Electrolyte Interface: a SIMS Approach\, Anal. Chem. 2017\, 89\, 960−965
URL:https://www.scilifelab.se/event/in-situ-liquid-secondary-ion-mass-spectrometry-a-unique-tool-for-in-situ-molecular-analysis-of-solid-liquid-and-liquid-vacuum-interfaces/
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://www.scilifelab.se/wp-content/uploads/2026/02/Paper1_crop.png
ORGANIZER;CN="SciLifeLab Gothenburg":MAILTO:gothenburg@scilifelab.se
LOCATION:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260225T130000
DTEND;TZID=Europe/Stockholm:20260225T140000
DTSTAMP:20260405T124902
CREATED:20260129T140653Z
LAST-MODIFIED:20260129T144344Z
UID:10001737-1772024400-1772028000@www.scilifelab.se
SUMMARY:Single-Cell Mapping Reveals Differentiation and Therapeutic Targets in Acute Leukemia
DESCRIPTION:Clinical Genomics Webinar Series\n\n\n\nClinical Genomics Lund is hosting this webinar as part of the Clinical Genomics Platform webinar series \n\n\n\nUnderstanding acute leukemia cellular heterogeneity and therapeutic vulnerabilities using single-cell technologies \n\n\n\n\nJoin us on Zoom\n\n\n\n\nAcute leukemia comprises genetically and biologically heterogeneous malignancies that disrupt normal hematopoiesis. While genomic and transcriptomic profiling has improved disease classification and risk stratification\, leukemia progression and treatment response are increasingly shaped by complex interactions within a dynamic cellular ecosystem. Despite advances in targeted therapies\, treatment resistance and relapse remain major challenges\, largely driven by leukemia stem cells that evade current approaches.  \n\n\n\nThis webinar will highlight how recent advances in single-cell sequencing and computational analysis enable high-resolution dissection of leukemic and normal hematopoietic cell populations\, revealing cellular heterogeneity\, differentiation trajectories\, and novel therapeutic vulnerabilities with the potential to improve patient outcomes. \n\n\n\nEveryone is welcome so feel free to spread the details with anyone who may be interested. Hope to see you there! \n\n\n\nHost: Tina Catela Ivkovic\, Head of Unit at Clinical Genomics Lund \n\n\n\nInvited speaker: Hanna Thorsson\, Lund University
URL:https://www.scilifelab.se/event/single-cell-mapping-reveals-differentiation-and-therapeutic-targets-in-acute-leukemia/
LOCATION:Online event via Zoom
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2025/05/Clinical-Genomics-Webinar-series.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260224T150000
DTEND;TZID=Europe/Stockholm:20260224T160000
DTSTAMP:20260405T124902
CREATED:20260129T143238Z
LAST-MODIFIED:20260129T143240Z
UID:10001738-1771945200-1771948800@www.scilifelab.se
SUMMARY:PULSE Challenge: Catalysis - A guiding principle for biochemistry and professional career development
DESCRIPTION:This seminar will describe Dr. Lorenz M. Mayr‘s experience in drug discovery from over 30 years in industry\, academia\, venture capital/financing and finally running Biotech startup companies. He is driven by his passion for science\, interdisciplinary research and impact for patients. The ultimate goal has always been to bring innovative\, impactful and affordable medicine to patients. He has had success by working in Germany\, US\, UK\, Sweden and Switzerland\, but also made a number of mistakes. Quote: I am happy to share my experience and to help new entrepreneurs to pursue a career in drug discovery\, at academia or industry\, but ideally with novel startup companies.  \n\n\n\nHost: Kristian SandbergModerator: Anna Ridderstad \n\n\n\nThe seminar series PULSE Challenge is connected to the MSCA co-funded* postdoctoral program SciLifeLab PULSE\, that will train 48 future leaders in life sciences. The program focuses on innovative\, fundamental and translational research carried out in supportive and diverse academic and industrial environments\, preparing postdocs with necessary skills for long-term career sustainability. Click HERE to find out more about SciLifeLab PULSE \n\n\n\n\n\n\n\nOn-line event via Zoom \n\n\n\nRegister Here\n\n\n\n\n\n\n\n\n\n\n\n\n\nPresenter: Dr. Lorenz M. Mayr  \n\n\n\nBiography:Lorenz is working as Managing Director at BioMedTech Consulting GmbH in Basel\, Switzerland. The company provides consulting service to BioPharma\, Biotechnology and MedTech companies and academic institutions. He is also working as Chief Executive Officer (CEO) and Chairman of the Board (President) of PHiNE Bio AG\, a new Biotech startup company in Basel\, Switzerland which is operating since 08/2025 in stealth mode and financed by private investors. \n\n\n\nLorenz has long-lasting experience in Pharma/Biotech investments and company creation from his work at Syncona Ltd (London\, UK)\, Hevolution Foundation (Boston\, MA) and EIT-Health Gold Track (Boston\, MA; Munich\, Germany). Lorenz is a highly respected biopharmaceutical executive with extensive experience over the last 30 years in drug discovery\, technology and innovation\, business growth and financing strategy. \n\n\n\nHe has previously worked as a Chairman\, Non-Executive Director\, Chief Executive Officer\, Chief Technology Officer\, and Entrepreneur-in-Residence in the Biotech\, Medtech\, Pharma and Venture Capital industry across Europe and the US. \n\n\n\nHe has received first class degrees in biochemistry\, biophysics\, molecular & cell biology at the University of Tubingen (Germany)\, University of Bayreuth (Germany) and the University of Colorado at Boulder (U.S.A.) and a number of fellowships & awards for his studies in Germany and the United States. \n\n\n\nLorenz currently serves on the Board of Directors at Fundamental Pharma (Heidelberg\, Germany)\, InCephalo (Basel\, Switzerland) and PHiNE Bio AG (Basel\, Switzerland)\, and serves on the Scientific Advisory Board of Fraunhofer IGB (Stuttgart\, Germany)\, Fraunhofer IZI (Leipzig\, Germany)\, SaxoCell (Leipzig)\, The Francis Crick Institute (London\, UK)\, Science4Life (Stockholm\, Sweden) SensibleBio (Oxford\, UK)\, Hemotune (Zurich\, Switzerland)\, Huidagene (Shanghai\, China)\, AstraGenomics (Shanghai\, China)\, TQ Therapeutics (Munich\, Germany)\, GeneFab (San Francisco\, CA) and NanoVation (Vancouver\, Canada)\, and works as Senior Healthcare Advisor to EQT Investments (Stockholm/Sweden).
URL:https://www.scilifelab.se/event/pulse-challenge-catalysis-a-guiding-principle-for-biochemistry-and-professional-career-development/
LOCATION:Online event via Zoom
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://www.scilifelab.se/wp-content/uploads/2025/02/Bild1-e1770905208628.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260217T151500
DTEND;TZID=Europe/Stockholm:20260217T161500
DTSTAMP:20260405T124902
CREATED:20260203T083209Z
LAST-MODIFIED:20260203T083211Z
UID:10001747-1771341300-1771344900@www.scilifelab.se
SUMMARY:Microbiome data science for population-scale studies
DESCRIPTION:Professor Leo Lahti\, University of Turku\, Finland \n\n\n\n\n\n\n\nBiography\n\n\n\nLeo Lahti is professor in Data Science at the University of Turku\, vice chair of the National  Coordination on Open Science in Finland\, and a recent member of the global Bioconductor Community Advisory board. He obtained doctoral degree in applied probabilistic machine learning from Aalto University in Finland (2010) and had subsequently nearly a decade of international research experience in European labs. His research team focuses on computational microbiome research. For more information\, see the research homepage datascience.utu.fi<http://datascience.utu.fi> \n\n\n\nAbstract\n\n\n\nHuman microbiome is a major contributor to health and disease\, driven by environment and lifestyle. We will discuss recent advances in population cohort studies linking gut microbiome\, socio-demographic variation\, and health\, and the critical role of open data science frameworks in facilitating such research. \n\n\n\nHost: Ander Andersson anders.andersson@scilifelab.se
URL:https://www.scilifelab.se/event/microbiome-data-science-for-population-scale-studies/
LOCATION:Air&Fire\, SciLifeLab Stockholm\, Tomtebodavägen 23A\, Solna\, Sweden
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2023/10/Campus-solna-seminar-picture.jpg
ORGANIZER;CN="Spotlight Seminar Series":MAILTO:events@scilifelab.se
END:VEVENT
END:VCALENDAR