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X-WR-CALDESC:Events for SciLifeLab
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DTSTART;TZID=Europe/Stockholm:20260423T150000
DTEND;TZID=Europe/Stockholm:20260423T153000
DTSTAMP:20260421T055816
CREATED:20260407T070001Z
LAST-MODIFIED:20260407T070750Z
UID:10001796-1776956400-1776958200@www.scilifelab.se
SUMMARY:CSI Seminar - Assertive Communication and Boundary Setting
DESCRIPTION:Academic environments thrive on the exchange of ideas through collaboration — yet the way we communicate profoundly shapes collegial relationships. From daily interactions and departmental dynamics to supervision\, workload expectations\, and difficult conversations\, healthy communication — including the ability to set clear\, professional boundaries — is an essential skill.In this seminar\, we will explore how to communicate with clarity\, confidence\, and respect — even in high-pressure situations. We will examine assertive communication and how it can meet passive\, aggressive\, and passive-aggressive communication styles in academic culture. We will discuss practical strategies for fostering healthy communication within research teams\, navigating challenging moments that could escalate into conflict\, and recognizing when a boundary is needed — along with how to set one constructively. This seminar offers actionable tools to strengthen professional relationships\, negotiate workload demands\, and contribute to a more respectful and collaborative academic environment. \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-assertive-communication-and-boundary-setting/
LOCATION:Gamma 2 Lunchroom\, SciLifeLab\, Tomtebodavägen 23\, Solna\, Sweden
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://www.scilifelab.se/wp-content/uploads/2023/11/Coaching_in_Science_Initiative-1.png
ORGANIZER;CN="Coaching in Science Initiative (CSI)":MAILTO:sami.saarenpaa@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260423T120000
DTEND;TZID=Europe/Stockholm:20260423T130000
DTSTAMP:20260421T055816
CREATED:20260113T095534Z
LAST-MODIFIED:20260127T102013Z
UID:10001708-1776945600-1776949200@www.scilifelab.se
SUMMARY:Campus Solna Seminar Series: Baizhen Chen & Yue Chen
DESCRIPTION:Welcome to join the Campus Solna Seminar Series – an initiative to promote the fantastic science ongoing at Campus Solna and hopefully forge more internal communication and collaboration between within Campus Solna. The format consists of two 20 min talks (One speaker from the Alpha-building and one from the Gamma-building respectively)\, with an additional 5 min of questions. Presentation of ongoing (unpublished) projects is strongly encouraged. \n\n\n\nThe seminars are held Thursdays 12:00-13:00. You can bring your lunch to the seminar. \n\n\n\nPhD students that are attending the Campus Solna Seminar lectures will have the opportunity to gain credits. For the syllabus and instructions on how to obtain these credits\, read this document. Please contact your own department at your host University to confirm.See here the full schedule for this semester. \n\n\n\nThis week:\n\n\n\n\n\n\nBaizhen Chen\n\n\n\nCecilia Williams – alpha  \n\n\n\n \n\n\n\n\n\nYue Chen\n\n\n\nLucie Delemotte – gamma 3 \n\n\n\n \n\n\n\n\n\n\nThis seminar series is organized by the PhD & Postdoc Council. For more information about the Council and other events check our page.
URL:https://www.scilifelab.se/event/campus-solna-seminar-series-23apr/
LOCATION:Milkyway SciLifeLab Solna\, Tomtebodavägen 23\, Solna
CATEGORIES:Community
ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2022/12/IMG_4110-scaled.jpg
ORGANIZER;CN="SciLifeLab Solna PhD & Postdoc Council":MAILTO:phd-council@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260422T140000
DTEND;TZID=Europe/Stockholm:20260422T160000
DTSTAMP:20260421T055816
CREATED:20260330T141954Z
LAST-MODIFIED:20260331T125134Z
UID:10001793-1776866400-1776873600@www.scilifelab.se
SUMMARY:Digital Townhall meeting about the Beta building of Campus Solna
DESCRIPTION:Welcome to a townhall meeting for the SciLifeLab community to hear more about the plans of Campus Solna expansion to include the Beta building\, and to learn what this means for SciLifeLab from a national perspective. \n\n\n\nAgenda\n\n\n\n\nThe national perspective on Campus Solna expansion – what does this mean for SciLifeLab? Jan Ellenberg\, SciLifeLab Director\n\n\n\nThe Beta project\, Per Ljungdahl\, Campus Solna Director\n\n\n\nQ&A session\n\n\n\n\nAfter the digital meeting\, all community members present at Campus Solna on April 22nd are most welcome to join the continued dialogue about the Beta project in the Delta area/lobby. Refreshments will be served. \n\n\n\nRegister here
URL:https://www.scilifelab.se/event/digital-townhall-meeting-about-the-beta-building-of-campus-solna/
LOCATION:Online event via Zoom
CATEGORIES:Community
ORGANIZER;CN="SciLifeLab Event":MAILTO:events@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260421T110000
DTEND;TZID=Europe/Stockholm:20260421T120000
DTSTAMP:20260421T055816
CREATED:20260120T134710Z
LAST-MODIFIED:20260209T100232Z
UID:10001726-1776769200-1776772800@www.scilifelab.se
SUMMARY:The Global Open Research Commons International Model: A path towards greater interoperability for digital research infrastructures
DESCRIPTION:The Global Open Research Commons (GORC) International Model (starting with its Essential Elements) has been in development since 2016 within Research Data Alliance Interest and Working Groups. It is now a mature way to guide implementation decisions\, a framework for new commons implementers\, and a shared language for interoperability discussions. This talk will provide an overview of the GORC approach\, its current uptake\, and its future plans. It should be of interest to anyone concerned with interoperability within and between DRI.Presenter: Andrew Treloar (PhD)\, DRI Consultant \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\n             \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-gorc/
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:20260420T090000
DTEND;TZID=Europe/Stockholm:20260420T173000
DTSTAMP:20260421T055816
CREATED:20260210T110215Z
LAST-MODIFIED:20260420T091034Z
UID:10001753-1776675600-1776706200@www.scilifelab.se
SUMMARY:Stockholm Single Cell and Spatial Genomics Symposium 2026
DESCRIPTION:The Stockholm Single Cell and Spatial Genomics Symposium 2026 is a national meeting dedicated to advancing single-cell and spatial genomics technologies and their application in basic\, applied\, and translational research. \n\n\n\nBuilding on the success of the 2024 symposium\, this full-day event will once again bring together leading Swedish and international researchers\, technology developers\, and industry partners. The program will feature keynote lectures\, scientific talks\, technology showcases\, and ample networking opportunities\, with a strong focus on state-of-the-art methods and innovative applications. \n\n\n\nRegistration\n\n\n\nThis event is currently fully booked \n\n\n\nBy fostering knowledge exchange and community building\, the symposium aims to accelerate the adoption of single-cell and spatial genomics approaches across Sweden and further strengthen the national research ecosystem supported by SciLifeLab and NGI. \n\n\n\nOrganizers\n\n\n\n\n\nNational Genomics Infrastructure  \n\n\n\n\nNational Genomics Infrastructure (NGI)\n\n\n\n\n \n\n\n\n\n\nIn Situ Sequencing \n\n\n\n\nIn Situ Sequencing\n\n\n\n\n\n\n \n\n\n\nProgram\n\n\n\nAgenda.SCSG_2026 (1)Download
URL:https://www.scilifelab.se/event/stockholm-single-cell-and-spatial-genomics-symposium-2026/
LOCATION:IVA Conference center\, Grev Turegatan 16\, Stockholm
CATEGORIES:Event
ORGANIZER;CN="SciLifeLab Event":MAILTO:events@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260417T140000
DTEND;TZID=Europe/Stockholm:20260417T150000
DTSTAMP:20260421T055816
CREATED:20260320T101402Z
LAST-MODIFIED:20260320T101403Z
UID:10001779-1776434400-1776438000@www.scilifelab.se
SUMMARY:Training Hub Webinar - The New SciLifeLab Training Catalogue
DESCRIPTION:The SciLifeLab Training Portal is dedicated to connecting people with courses\, workshops\, and other training delivered by SciLifeLab. We are happy to announce that the Portal is now open as a central training catalogue where the life science community can see all regularly-occurring or self-paced training at SciLifeLab — even if there isn’t an upcoming session scheduled! The Training Hub would like to invite the SciLifeLab community to a webinar where we will showcase how to add your training to the SciLifeLab Training Catalogue. \n\n\n\nSee training Catalogue\n\n\n\nWe warmly welcome you this webinar to learn: \n\n\n\n\nHow to add training to the Training Catalogue\n\n\n\nHow to use the Catalogue to create upcoming session announcements\n\n\n\nWhat happens after you submit to the Catalogue\n\n\n\nWhat information is needed for complete metadata that meets Open Science & FAIR standards\n\n\n\nFeatures coming soon to the Training Portal!\n\n\n\n\nIncluded in this webinar is time to ask questions of the Training Hub\, give feedback\, as well as time to test out adding training to the catalogue. \n\n\n\nIf you are interested in this webinar but unable to attend\, or if you have any questions about training announcements at SciLifeLab\, get in touch with us at traininghub@scilifelab.se .
URL:https://www.scilifelab.se/event/training-hub-webinar-new-scilifelab-training-catalogue/
LOCATION:Online event via Zoom
CATEGORIES:Event
ORGANIZER;CN="Training Hub":MAILTO:traininghub@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260417T100000
DTEND;TZID=Europe/Stockholm:20260417T110000
DTSTAMP:20260421T055816
CREATED:20260407T151030Z
LAST-MODIFIED:20260413T150954Z
UID:10001797-1776420000-1776423600@www.scilifelab.se
SUMMARY:AI Agent in Drug Discovery - Current Advance and Application
DESCRIPTION:Dinh Long Huynh \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: April 17\, 10:00-11:00 \n\n\n\nWhere:  Zoom http://meet.nbis.se/ainw \n\n\n\nSpeaker: Dinh Long HuynhUppsala University (Ola Spjuth group)Abstract \n\n\n\nArtificial intelligence (AI) has been shaping drug discovery for decades — from the early use of predictive models to the recent explosion of generative AI. Today\, we are entering a third wave: Agentic AI. Together with traditional predictive or generative models\, as well as computational and robot execution tools\, agentic AI embodies autonomy in drug discovery — it perceives its environment\, reasons about goals\, and takes actions with minimal human intervention. This talk explores the evolution from generative to agentic systems and why this shift matters for life sciences. We will unpack the architectural foundations of agentic AI\, showing how they enable closed-loop discovery — where AI not only designs hypotheses or molecules but also plans\, executes\, refines\, and learns from experiments. Through real-world case studies and a short live demonstration\, we will illustrate how agentic AI can transform the research cycle — accelerating hypothesis generation\, optimizing experiment design\, and integrating multimodal data across biology and chemistry. We will also discuss the current challenges and the road ahead for agentic AI systems in biopharma R&D. \n\n\n\nTo stay updated\, you can join our email list by contacting ai-network@scilifelab.se  \n\n\n\n\nJoin Seminar
URL:https://www.scilifelab.se/event/ai-agent-in-drug-discovery-current-advance-and-application/
LOCATION:Online event via Zoom
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260417T090000
DTEND;TZID=Europe/Stockholm:20260417T100000
DTSTAMP:20260421T055816
CREATED:20260330T113750Z
LAST-MODIFIED:20260330T113751Z
UID:10001792-1776416400-1776420000@www.scilifelab.se
SUMMARY:Targeted long-read sequencing for clinical diagnostics
DESCRIPTION:Clinical Genomics Webinar Series\n\n\n\nClinical Genomics Uppsala is hosting this webinar as part of the Clinical Genomics Platform webinar series \n\n\n\nHow Targeted Long‑Read Sequencing is Transforming Diagnostic Accuracy and Workflow Integration in Hereditary Cancer and AML \n\n\n\n\nJoin us on Zoom\n\n\n\n\nAccurate and comprehensive detection of pathogenic genetic variants is critical for effective diagnosis\, risk assessment\, and patient management in clinical settings. In this webinar\, Clinical Genomics Uppsala presents how targeted long-read sequencing (TLRS) is being developed and implemented to advance molecular diagnostics across different disease areas. \n\n\n\nIn the first part\, we focus on hereditary cancer diagnostics\, where identifying pathogenic variants in cancer-associated genes is essential. We present the evaluation of a custom-designed TLRS panel using PacBio long-read sequencing technology\, covering clinically relevant genes and demonstrating high sensitivity\, improved resolution of complex genomic regions\, and the ability to determine variant phasing. These advantages highlight the potential of TLRS to enhance diagnostic accuracy and support its integration into routine clinical workflows. \n\n\n\nThe second part addresses acute myeloid leukemia (AML)\, where rapid and comprehensive genetic characterization is crucial for risk stratification and treatment decisions. We showcase a long-read amplicon sequencing workflow based on Oxford Nanopore technology that consolidates the analysis of key clinically relevant genes—including TP53\, FLT3\, IDH1\, IDH2 and NPM1—into a single assay. This unified approach reduces the need for multiple parallel tests\, streamlining diagnostics while maintaining high clinical relevance. \n\n\n\nTogether\, these presentations illustrate how targeted long-read sequencing can improve diagnostic efficiency\, resolve complex genomic challenges\, and pave the way for more integrated and informative clinical testing strategies. \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: Ida Höijer\, Project Coordinator\, Clinical Genomics Uppsala \n\n\n\nInvited speakers: Joakim Klar\, Uppsala University Hospital & Rebecka Östlund\, Uppsala University
URL:https://www.scilifelab.se/event/targeted-long-read-sequencing-for-clinical-diagnostics/
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:20260417T083000
DTEND;TZID=Europe/Stockholm:20260417T170000
DTSTAMP:20260421T055816
CREATED:20251003T130438Z
LAST-MODIFIED:20260416T091455Z
UID:10001626-1776414600-1776445200@www.scilifelab.se
SUMMARY:SciLifeLab Day Gothenburg 2026
DESCRIPTION:Welcome to an inspiring full-day event bringing together researchers\, experts\, infrastructure representatives\, and partners from across Sweden! SciLifeLab Day Gothenburg 2026 offers a unique meeting place for anyone working with – or curious about – advanced molecular life sciences\, data-driven research\, and translational innovation. \n\n\n\nRegistration\n\n\n\n\nRegistration\n\n\n\n\nRegistration is closed. \n\n\n\nThis event is free of charge\, but please note that a fee of 750 SEK will be charged in case of no-shows without prior notice. \n\n\n\nEvent App\n\n\n\nTo make the most of your experience\, we encourage you to download the Lyyti app (available on Google Play and Apple App Store)\, where you will find the latest updates. \n\n\n\nAbout the event\n\n\n\nThroughout the day\, you’ll experience visionary talks\, insights into cutting-edge research infrastructures\, real-world use cases from industry and healthcare\, and plenty of opportunities for networking. The program includes everything from flash talks and poster sessions to discussions on how SciLifeLab technologies are driving progress in academia\, healthcare\, and industry. \n\n\n\nEvent highlights include: \n\n\n\n\nSciLifeLab’s future outlook with SciLifeLab Director Jan Ellenberg\n\n\n\nA regional perspective on SciLifeLab’s role in western Sweden\n\n\n\nPresentations from national infrastructures and platforms\n\n\n\nSessions focused on clinical translation and applications for academia and industry\n\n\n\nPoster exhibitions by the infrastructure units and other SciLifeLab activites\n\n\n\nMingling and engaging discussions\n\n\n\n\nDon’t miss the opportunity to dive into the latest developments in Swedish life science\, make new connections\, and explore the wide range of possibilities SciLifeLab offers for research and innovation. We look forward to welcoming you to a day full of inspiration and new insights! \n\n\n\nAgenda\n\n\n\n\nDownload Agenda\n\n\n\nConference Booklet\n\n\n\n\n08:30–10:00 | Morning Session\n08:30–09:00Registration & Coffee \n\n\n\n09:00–09:10Welcome RemarksCarina Mallard\, Pro-Vice-Chancellor\, University of GothenburgAnders Palmqvist\, Vice President\, Chalmers University of Technology \n\n\n\n09:10–09:40The Future of Life Sciences and the Role of SciLifeLabJan Ellenberg\, SciLifeLab Director\, Karolinska Institutet\, Stockholm University & KTH Royal Institute of Technology \n\n\n\n09:40–10:00SciLifeLab in the Gothenburg Region – Vision & ImpactElisabet Carlsohn\, SciLifeLab Gothenburg Site Director\, University of GothenburgOtto Savolainen\, SciLifeLab Gothenburg Site Co-Director\, Chalmers University of TechnologyMaria Faresjö\, Head of Department\, Life Sciences\, Chalmers University of Technology \n\n\n\n\n10:00–10:20 | Coffee Break \n\n\n\n10:20–11:50 | Research Infrastructure in Focus\n10:20–10:40SciLifeLab – A National Infrastructure for Molecular Life SciencesAnnika Jenmalm Jensen\, SciLifeLab Infrastructure Director\, Karolinska Institutet \n\n\n\n10:40–11:50Flash Talk PresentationsSciLifeLab Research Infrastructure – Platforms & Technologies \n\n\n\n\n11:50–12:50 | Lunch\, Networking & Infrastructure Poster Session \n\n\n\n12:50–14:30 | Translation to Healthcare\n12:50–13:05Translation of technology and data-driven precision medicine – a research & infrastructure perspectivePäivi Östling\, Associate Professor\, Karolinska Institutet / SciLifeLab \n\n\n\n13:05–13:20Translation from Discovery to Practice: From 6 Months to 20 Years – Bottlenecks and ChallengesMikael Kubista\, co-founder and CEO\, Precision Bioanalytics \n\n\n\n13:20–13:35Infrastructure User Perspective: Steatotic Liver Disease Through a Proteome-Wide LensTanmoy Dutta\, Doctoral Student\, Institute of Medicine\, University of Gothenburg \n\n\n\n13:35–14:05Keynote: Precision medicine in the real worldBoubou Hallberg\, CEO\, Sahlgrenska University Hospital \n\n\n\n14:05–14:30Panel Discussion \n\n\n\nModerator:  \n\n\n\nCharlotta Ljungman\, Sahlgrenska University Hospital / University of Gothenburg \n\n\n\nPanelists: \n\n\n\nJan Ellenberg\, SciLifeLab Director\, Karolinska Institutet\, Stockholm University & KTH Royal Institute of Technology \n\n\n\nMikael Kubista\, co-founder and CEO\, Precision Bioanalytics \n\n\n\nBoubou Hallberg\, CEO\, Sahlgrenska University Hospital \n\n\n\nMats Lundqvist\, Vice President for Utilization\, innovation and lifelong learning\, Chalmers \n\n\n\nCecilia Edebo\, CEO\, Sahlgrenska Science Park \n\n\n\nJan Holgersson\, Vice Dean for Infrastructure and Facilities\, Sahlgrenska Academy\, University of Gothenburg \n\n\n\n\n14:30–15:00 | Coffee Break & Infrastructure Poster Session \n\n\n\n15:00–16:10 | Enabling Research & Innovation\n15:00–15:15Towards Precision Nutrition for Cardiometabolic Disease Prevention – Reliance on high-throughput OMICsRikard Landberg\, Head of Division\, Food and Nutrition Science\, Chalmers University of Technology \n\n\n\n15:15–15:30Chemical Language Models for Drug Design and EngineeringRocío Mercado\, Assistant Professor\, Computer Science and Engineering\, Chalmers University of Technology \n\n\n\n15:30–15:40Illumina Amplicon Sequencing for Environmental MonitoringMarina Panova\, Researcher\, Department of Marine Sciences\, University of Gothenburg / Seanalytics \n\n\n\n15:40–15:50A “Macrophage–Collagen Fragment Axis” in the Regulation of Adipose Tissue FunctionalityIngrid Wernstedt Asterholm\, Professor\, Department of Physiology\, University of Gothenburg \n\n\n\n15:50–16:00Glycotime: Circadian Rhythms in Mucus GlycansAlex Bennett\, Postdoctoral Researcher\, Department of Medical Biochemistry\, University of Gothenburg \n\n\n\n\n16:00–16:10 | Closing Remarks \n\n\n\n16:10–17:00 | Networking & Mingle \n\n\n\nCompany exhibitions\n\n\n\nConfirmed Exhibitors \n\n\n\n\n\n\n\n\n\n\n\n\n\nCarl Zeiss \n\n\n\n\n\n\n\n\n\nWaters Corporation \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nProteintech Europe \n\n\n\n\n\n\n\n\n\nNordic Biosite \n\n\n\n\n\n\n\n\n\nThermo Fisher Scientific \n\n\n\n\n\n\n\n\n\n\n\nOlink \n\n\n\n\n\n\n\n\n\nBioNordika \n\n\n\n\n\n\n\n\n\nParse Biosciences \n\n\n\n\n\n\n\n\n\n\n\nGöteborg & Co – Gothenburg Convention Bureau \n\n\n\n\n\n\n\n\n\nPixelgen Technologies \n\n\n\n\n\n\n\n\n\nFisher Scientific
URL:https://www.scilifelab.se/event/scilifelab-day-gothenburg-2026/
LOCATION:RuNan\, Chalmersplatsen 1\, Gothenburg\, 412 58\, Sweden
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://www.scilifelab.se/wp-content/uploads/2025/10/Kollage_GU_CTH_crop2-scaled.png
ORGANIZER;CN="SciLifeLab Gothenburg":MAILTO:gothenburg@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260416T150000
DTEND;TZID=Europe/Stockholm:20260416T163000
DTSTAMP:20260421T055816
CREATED:20260331T132257Z
LAST-MODIFIED:20260331T132812Z
UID:10001795-1776351600-1776357000@www.scilifelab.se
SUMMARY:Peripheral Immunity\, Microbial Communities\, and the Power of Single-Cell Resolution
DESCRIPTION:Dr. Vanessa Dumeaux\n\n\n\nDepartments of Anatomy & Cell Biology\, Biochemistry and Oncology\, Western University\, London\, Canada \n\n\n\nShort biography \n\n\n\nVanessa Dumeaux is an Assistant Professor in the Departments of Anatomy and Cell Biology\, Biochemistry and Oncology at Western University (London\, Canada). She holds a Doctorate in Pharmacy and a PhD in molecular epidemiology from the University of Tromsø and the University of Paris-South XI\, and completed postdoctoral training at the Norwegian Radium Hospital\, Princeton University\, and the University of Paris Descartes. Her lab develops computational and genomic methods to identify tumoral\, systemic\, and microbial markers that predict cancer therapy outcomes\, and to characterize microbial communities at single-cell resolution. \n\n\n\nTitle of the talk: Peripheral Immunity\, Microbial Communities\, and the Power of Single-Cell Resolution\n\n\n\nAbstract \n\n\n\nSingle-cell and computational genomics are transforming our ability to dissect cell-level heterogeneity in complex biological systems\, from human immune responses to microbial communities. In this talk\, I will present our work applying these approaches to two areas of active research in my lab. \n\n\n\nThe first part focuses on the crosstalk between peripheral immunity and the tumor microenvironment in breast cancer. I will describe how we use single-cell profiling of blood and tumor to identify molecular interactions between a patient’s immune system and their disease\, and how these interactions could inform clinical management of HER2-positive and triple-negative breast cancer. \n\n\n\nI will close with a brief overview of how we extend similar computational and single-cell strategies to study microbial communities\, from characterizing functional variation in the human gut microbiome to profiling heterogeneous drug responses in fungal pathogens. \n\n\n\nHost: Stefania Giacomello
URL:https://www.scilifelab.se/event/peripheral-immunity-microbial-communities-and-the-power-of-single-cell-resolution/
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2023/10/Campus-solna-seminar-picture.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260416T120000
DTEND;TZID=Europe/Stockholm:20260416T130000
DTSTAMP:20260421T055816
CREATED:20260113T095504Z
LAST-MODIFIED:20260127T102725Z
UID:10001707-1776340800-1776344400@www.scilifelab.se
SUMMARY:Campus Solna Seminar Series: Maria Escriva Conde & Doreen Schwochow
DESCRIPTION:Welcome to join the Campus Solna Seminar Series – an initiative to promote the fantastic science ongoing at Campus Solna and hopefully forge more internal communication and collaboration between within Campus Solna. The format consists of two 20 min talks (One speaker from the Alpha-building and one from the Gamma-building respectively)\, with an additional 5 min of questions. Presentation of ongoing (unpublished) projects is strongly encouraged. \n\n\n\nThe seminars are held Thursdays 12:00-13:00. You can bring your lunch to the seminar. \n\n\n\nPhD students that are attending the Campus Solna Seminar lectures will have the opportunity to gain credits. For the syllabus and instructions on how to obtain these credits\, read this document. Please contact your own department at your host University to confirm.See here the full schedule for this semester. \n\n\n\nThis week:\n\n\n\n\n\n\nMaria Escriva Conde\n\n\n\nMats Nilsson – gamma 4 \n\n\n\n \n\n\n\n\n\nDoreen Schwochow\n\n\n\nPelin Sahlen – alpha \n\n\n\n \n\n\n\n\n\n\nThis seminar series is organized by the PhD & Postdoc Council. For more information about the Council and other events check our page.
URL:https://www.scilifelab.se/event/campus-solna-seminar-series-16apr/
LOCATION:Milkyway SciLifeLab Solna\, Tomtebodavägen 23\, Solna
CATEGORIES:Community
ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2022/09/IMG_20221103_124630107_HDR-scaled.jpg
ORGANIZER;CN="SciLifeLab Solna PhD & Postdoc Council":MAILTO:phd-council@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260415T120000
DTEND;TZID=Europe/Stockholm:20260415T130000
DTSTAMP:20260421T055816
CREATED:20260331T123405Z
LAST-MODIFIED:20260407T103144Z
UID:10001794-1776254400-1776258000@www.scilifelab.se
SUMMARY:Umeå seminar series: InfraVis - The National Research Infrastructure for Data Visualisation. Information about visualisation support and collaboration opportunities.
DESCRIPTION:“InfraVis – The National Research Infrastructure for Data Visualization. Information about visualization support and collaboration opportunities” \n\n\n\nInfraVis is Sweden’s national research infrastructure för data visualization\, funded by the Swedish research council (Vetenskapsrådet). Spread over nine university nodes\, InfraVis supports researchers from any scientific domain by providing access to a dedicated team of visualization experts\, state-of-the-art visualization competence\, equipment\, training\, and methods. The presentation will introduce skills available at the Umeå node of InfraVis and showcase a selection of visualization projects that demonstrate the opportunities for researchers in data analysis and outreach provided by InfraVis. Learn more and apply for support: https://infravis.se \n\n\n\nPresenters: Maria Podkorytova\, Node coordinator and application expert at Umeå UniversityEvelina Liliequist\, Module leader M6: Infrastructure development\, collaborations and development projects \n\n\n\nRegister\n\n\n\nRegistration: Sign up for the IRL seminar and reserve your free lunch by Monday\, 13 April\, 10:00\, or follow online (registration is not required):Meeting URL: https://umu.zoom.us/j/64086943609 \n\n\n\n\n\n\n\n\n\n\n\n\nSciLifeLab Site Umeå/KBC Infrastructure Seminar Series\n\n\n\nThis event is part of the SciLifeLab site Umeå/KBC Infrastructure Seminar series\, for future events in spring 2025\, check the seminar series home page.  \n\n\n\nTake me there
URL:https://www.scilifelab.se/event/umea-seminar-series-infravis-the-national-research-infrastructure-for-data-visualisation-information-about-visualisation-support-and-collaboration-opportunities/
LOCATION:Glasburen Seminar Room\, Chemical Biological Centre (KBC) Building\, Umeå University\, Umeå\, 901 87\, Sweden
ORGANIZER;CN="SciLifeLab Site Ume%C3%A5":MAILTO:umeå@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260414T100000
DTEND;TZID=Europe/Stockholm:20260414T113000
DTSTAMP:20260421T055816
CREATED:20260329T105831Z
LAST-MODIFIED:20260329T105832Z
UID:10001789-1776160800-1776166200@www.scilifelab.se
SUMMARY:Introduction to the Module System\, VS Code\, and Jupyter Notebook on Berzelius
DESCRIPTION:Join our next event of the collaboration between National Supercomputer Centre (NSC) at Linköping University and SciLifeLab Data Centre. This training offers a practical introduction to the module system\, VS Code\, and Jupyter Notebook on Berzelius. The session will cover: \n\n\n\n\nhow to find modules on Berzelius\n\n\n\nload/unload modules\n\n\n\nuse modules in interactive or batch modes\n\n\n\nhow to use VS Code & Jupyter Notebook\n\n\n\n\nBy the end of the session\, you will be able to navigate the modules system of Berzelius confidently along with use VS Code & Jupyter Notebook effectively for your research. Participants can also gain hands-on experience during then event. Please read the guidance to get temporary access to Berzelius. \n\n\n\nThe online event is open for all current and prospective Berzelius users. Please read the eligibility requirements for accessing Berzelius before registering. \n\n\n\nDate: Tuesday\, April 14\, 2026Time: 10:00 – 11:30Place: Online via Zoom (link provided upon registration) \n\n\n\n\nRegister\n\n\n\n\nSchedule\n\n\n\nTimeSession TitleSpeaker(s)10:00–10:45Introduction to the Module System on BerzeliusSoumi Chaki10:45–11:15How to use VS Code\, and Jupyter Notebook on BerzeliusXuan Gu11:15–11:30Open Q&A SessionBerzelius Application Experts\n\n\n\nGeneral contact\n\n\n\nE-mail: soumi.chaki@liu.se (Soumi Chaki)
URL:https://www.scilifelab.se/event/introduction-to-the-module-system-vs-code-and-jupyter-notebook-on-berzelius-2/
LOCATION:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260414T100000
DTEND;TZID=Europe/Stockholm:20260414T113000
DTSTAMP:20260421T055816
CREATED:20260218T082136Z
LAST-MODIFIED:20260218T082137Z
UID:10001759-1776160800-1776166200@www.scilifelab.se
SUMMARY:Introduction to the Module System\, VS Code\, and Jupyter Notebook on Berzelius
DESCRIPTION:This event is a collaboration between National Supercomputer Centre (NSC) at Linköping University and SciLifeLab Data Centre.The training offers a practical introduction to the module system\, VS Code\, and Jupyter Notebook on Berzelius.  \n\n\n\nDate: Tuesday\, April 14\, 2026Time: 10:00 – 11:30Place: Online via Zoom (link provided upon registration) \n\n\n\n\nRegister\n\n\n\n\nThe session will cover: \n\n\n\n\nhow to find modules on Berzelius\n\n\n\nload/unload modules\n\n\n\nuse modules in interactive or batch modes\n\n\n\nhow to use VS Code & Jupyter Notebook\n\n\n\n\nBy the end of the session\, you will be able to navigate the modules system of Berzelius confidently along with use VS Code & Jupyter Notebook effectively for your research.Participants can also gain hands-on experience during then event. Please read the guidance to get temporary access to Berzelius. The online event is open for all current and prospective Berzelius users. Please read the eligibility requirements for accessing Berzelius before registering. \n\n\n\nSchedule\n\n\n\nTimeSession TitleSpeaker(s)10:00–10:45Introduction to the Module System on BerzeliusSoumi Chaki10:45–11:15How to use VS Code\, and Jupyter Notebook on BerzeliusXuan Gu11:15–11:30Open Q&A SessionBerzelius Application Experts\n\n\n\nGeneral contact\n\n\n\nThis event is a collaboration between National Supercomputer Centre (NSC) at Linköping University and SciLifeLab Data Centre. \n\n\n\nE-mail: soumi.chaki@liu.se (Soumi Chaki)
URL:https://www.scilifelab.se/event/introduction-to-the-module-system-vs-code-and-jupyter-notebook-on-berzelius/
LOCATION:Online event via Zoom
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2025/10/NSC-Berzelius-LiU-2025-3451-Photographer-Magnus-Johansson.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260413T090000
DTEND;TZID=Europe/Stockholm:20260414T120000
DTSTAMP:20260421T055816
CREATED:20260317T101752Z
LAST-MODIFIED:20260317T135540Z
UID:10001775-1776070800-1776168000@www.scilifelab.se
SUMMARY:Imag(in)ing the Future of Structural Biology
DESCRIPTION:The Symposium will start on April 13th at 9am and run for the whole day on April 13th and in the morning (9h00-12h00) of April 14th. \n\n\n\nFollowing the meeting\, there will be workshop on cryo-electron tomography organised by Thermo Fisher Scientific\, starting with lunch at 12h15. \n\n\n\nBoth the Symposium and the workshop are free of charge\, but registration is mandatory for organizational purposes.  \n\n\n\nregistration\n\n\n\nProgram \n\n\n\nProgramme \n\n\n\nDay 1 – April 13th Monday \n\n\n\n08:00Registration\, coffee09:00Welcome\, FSD vision Stefan Knight\, UU09:15Opening keynote lectureKristina Djinovic Carugo\, Head of EMBL Grenoble10:00Invited talk Thomas Lane\, DESY10:30Coffee Break10:45Invited talkThomas Usby\, MAX-IV11:15Short presentations from local facility heads/representatives– cryoEM (Anna Sundborger Lunna and Marco Marcia)– X-ray and biophysics (Annette Roos\, UU/SciLifeLab)12:00Lunch13:00Keynote lecture Ulrich Lorenz13:45Invited talkSuparna Sanyal\, UU14:15Invited talkNick Pearce\, LiU/UU & SciLifeLab14:45Short presentations from local facility heads/representatives– RNA dynamics (Marco Marcia)– Computational and time-resolved studies (Filipe Maia)15:30Coffee Break16:00“Functional macromolecular structural and dynamics in the AI era”Panel Discussion17:00Poster Session\n\n\n\n \n\n\n\nDay 2 – April 14th Tuesday\n\n\n\n09:00Invited talkMatthew Bowler\, EMBL Grenoble / ESRF09:30Invited talkMarta Carroni\, Stockholm University/SciLifeLab10:00Invited talkSebastian Westenhoff\, UU/SciLifeLab10:30Short presentations from local facility heads/representatives– Mass spectrometry\, Michael Landreh10:50Coffee break11:15Keynote lectureJan Ellenberg\, SciLifeLab12:00Conclusion of open meeting and informationStefan Knight\, UU12:15Lunch for participants in the cryo-ET workshop provided by ThermoFischer)13:00ThermoFisher cryo-ET workshop with live demo from Thermo Fisher Nanoport\n\n\n\nOrganising Committee\n\n\n\nStefan D KnightAnna Sundborger-LunnaMichael LandrehMarco MarciaFilipe Maia
URL:https://www.scilifelab.se/event/imagining-the-future-of-structural-biology/
LOCATION:BMC Room A1:107a\, Husargatan 3\, Uppsala\, Sweden
CATEGORIES:Event
ORGANIZER;CN="Marco Marcia":MAILTO:marco.marcia@icm.uu.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260409T120000
DTEND;TZID=Europe/Stockholm:20260409T130000
DTSTAMP:20260421T055816
CREATED:20260113T095432Z
LAST-MODIFIED:20260309T094605Z
UID:10001706-1775736000-1775739600@www.scilifelab.se
SUMMARY:Campus Solna Seminar Series: Elin Asp & Mahmud Sami Aydin
DESCRIPTION:Welcome to join the Campus Solna Seminar Series – an initiative to promote the fantastic science ongoing at Campus Solna and hopefully forge more internal communication and collaboration between within Campus Solna. The format consists of two 20 min talks (One speaker from the Alpha-building and one from the Gamma-building respectively)\, with an additional 5 min of questions. Presentation of ongoing (unpublished) projects is strongly encouraged. \n\n\n\nThe seminars are held Thursdays 12:00-13:00. You can bring your lunch to the seminar. \n\n\n\nPhD students that are attending the Campus Solna Seminar lectures will have the opportunity to gain credits. For the syllabus and instructions on how to obtain these credits\, read this document. Please contact your own department at your host University to confirm.See here the full schedule for this semester. \n\n\n\nThis week:\n\n\n\n\n\n\nElin Asp\n\n\n\nPäivi Östling – alpha  \n\n\n\n \n\n\n\n\n\nMahmud Sami Aydin\n\n\n\nKristoffer Sahlin – gamma \n\n\n\n \n\n\n\n\n\n\nThis seminar series is organized by the PhD & Postdoc Council. For more information about the Council and other events check our page.
URL:https://www.scilifelab.se/event/campus-solna-seminar-series-9apr/
LOCATION:Air&Fire\, SciLifeLab Stockholm\, Tomtebodavägen 23A\, Solna\, Sweden
CATEGORIES:Community
ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2022/09/IMG_20221103_120135408_HDR-scaled.jpg
ORGANIZER;CN="SciLifeLab Solna PhD & Postdoc Council":MAILTO:phd-council@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260409T090000
DTEND;TZID=Europe/Stockholm:20260409T103000
DTSTAMP:20260421T055816
CREATED:20260130T103758Z
LAST-MODIFIED:20260130T104302Z
UID:10001742-1775725200-1775730600@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: April 9\, 9.00 – 10.30 Registration deadline: April 3 \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-6/
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:20260402T120000
DTEND;TZID=Europe/Stockholm:20260402T130000
DTSTAMP:20260421T055816
CREATED:20260113T095235Z
LAST-MODIFIED:20260127T102934Z
UID:10001705-1775131200-1775134800@www.scilifelab.se
SUMMARY:Campus Solna Seminar Series: Marco Fornasier & Linnea Påvenius
DESCRIPTION:Welcome to join the Campus Solna Seminar Series – an initiative to promote the fantastic science ongoing at Campus Solna and hopefully forge more internal communication and collaboration between within Campus Solna. The format consists of two 20 min talks (One speaker from the Alpha-building and one from the Gamma-building respectively)\, with an additional 5 min of questions. Presentation of ongoing (unpublished) projects is strongly encouraged. \n\n\n\nThe seminars are held Thursdays 12:00-13:00. You can bring your lunch to the seminar. \n\n\n\nPhD students that are attending the Campus Solna Seminar lectures will have the opportunity to gain credits. For the syllabus and instructions on how to obtain these credits\, read this document. Please contact your own department at your host University to confirm.See here the full schedule for this semester. \n\n\n\nThis week:\n\n\n\n\n\n\nMarco Fornasier\n\n\n\nHanna Barriga – alpha  \n\n\n\n \n\n\n\n\n\nLinnea Påvenius\n\n\n\nHjalmar Brismar – gamma 3 \n\n\n\n \n\n\n\n\n\n\nThis seminar series is organized by the PhD & Postdoc Council. For more information about the Council and other events check our page.
URL:https://www.scilifelab.se/event/campus-solna-seminar-series-2apr/
LOCATION:Air&Fire\, SciLifeLab Stockholm\, Tomtebodavägen 23A\, Solna\, Sweden
CATEGORIES:Community
ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2022/09/IMG_20221103_120135408_HDR-scaled.jpg
ORGANIZER;CN="SciLifeLab Solna PhD & Postdoc Council":MAILTO:phd-council@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260401T120000
DTEND;TZID=Europe/Stockholm:20260401T130000
DTSTAMP:20260421T055816
CREATED:20260319T140706Z
LAST-MODIFIED:20260331T070610Z
UID:10001778-1775044800-1775048400@www.scilifelab.se
SUMMARY:Umeå seminar series: From Tiny to Transcendent: How RISE High-throughput Centre empowers you to dream
DESCRIPTION:CANCELLED \n\n\n\n\n\n“From Tiny to Transcendent: How RISE High-throughput Centre empowers you to dream”Speaker: Payam Ghiaci\, Leader of RISE High-throughput Centre \n\n\n\nBiotechnology thrives on the ability to explore boldly at small scale and deliver impact at large scale. At the RISE High‑throughput Centre\, we bridge this entire spectrum. From tiny‑volume screening\, automation\, and data‑rich high‑throughput experimentation\, to pilot‑scale and industrial‑scale bioreactors reaching 10 000 L\, we provide an integrated innovation environment that accelerates biological discovery and process development. This talk will highlight how our platform enables researchers\, startups\, and industry partners to test more ideas\, iterate faster\, and scale with confidence. By combining advanced analytics\, digital workflows\, and flexible infrastructure\, we turn early‑stage concepts into scalable\, climate‑smart bioprocesses — empowering you not only to design better cell factories\, but to dream bigger about the future they can create. \n\n\n\nRegistration: Sign up for the IRL seminar and reserve your free lunch by Friday\, 27 March\, 12:00\, or follow online (registration is not required):Meeting URL:https://umu.zoom.us/j/66819975782 \n\n\n\nRegister\n\n\n\n\n\n\n\n\nSciLifeLab Site Umeå/KBC Infrastructure Seminar Series\n\n\n\nThis event is part of the SciLifeLab site Umeå/KBC Infrastructure Seminar series\, for future events in spring 2025\, check the seminar series home page.  \n\n\n\nTake me there
URL:https://www.scilifelab.se/event/umea-seminar-series-from-tiny-to-transcendent-how-rise-high-throughput-centre-empowers-you-to-dream/
LOCATION:KBC Building Umeå\, Linneaus Väg 6\, Umeå
ORGANIZER;CN="SciLifeLab Site Ume%C3%A5":MAILTO:umeå@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260327T150000
DTEND;TZID=Europe/Stockholm:20260327T160000
DTSTAMP:20260421T055816
CREATED:20260128T070949Z
LAST-MODIFIED:20260206T071346Z
UID:10001736-1774623600-1774627200@www.scilifelab.se
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:20260421T055816
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:20260326T120000
DTEND;TZID=Europe/Stockholm:20260326T130000
DTSTAMP:20260421T055816
CREATED:20260113T095201Z
LAST-MODIFIED:20260318T140554Z
UID:10001704-1774526400-1774530000@www.scilifelab.se
SUMMARY:Campus Solna Seminar Series: Adrian Garcia Moreno & Ann-Kathrin Schlotterbeck
DESCRIPTION:Welcome to join the Campus Solna Seminar Series – an initiative to promote the fantastic science ongoing at Campus Solna and hopefully forge more internal communication and collaboration between within Campus Solna. The format consists of two 20 min talks (One speaker from the Alpha-building and one from the Gamma-building respectively)\, with an additional 5 min of questions. Presentation of ongoing (unpublished) projects is strongly encouraged. \n\n\n\nThe seminars are held Thursdays 12:00-13:00. You can bring your lunch to the seminar. \n\n\n\nPhD students that are attending the Campus Solna Seminar lectures will have the opportunity to gain credits. For the syllabus and instructions on how to obtain these credits\, read this document. Please contact your own department at your host University to confirm.See here the full schedule for this semester. \n\n\n\nThis week:\n\n\n\n\n\n\nAdrian Garcia Moreno\n\n\n\nOla Larsson – gamma 4  \n\n\n\nDecoding Translational Mechanisms Underlying Breast Cancer Patient Heterogeneity \n\n\n\n\n\nAnn-Kathrin Schlotterbeck\n\n\n\nSean Rudd – alpha \n\n\n\n \n\n\n\n\n\n\nThis seminar series is organized by the PhD & Postdoc Council. For more information about the Council and other events check our page.
URL:https://www.scilifelab.se/event/campus-solna-seminar-series-26mar/
LOCATION:Milkyway SciLifeLab Solna\, Tomtebodavägen 23\, Solna
CATEGORIES:Community
ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2022/12/IMG_4110-scaled.jpg
ORGANIZER;CN="SciLifeLab Solna PhD & Postdoc Council":MAILTO:phd-council@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260326T100000
DTEND;TZID=Europe/Stockholm:20260327T170000
DTSTAMP:20260421T055816
CREATED:20260305T130632Z
LAST-MODIFIED:20260305T130632Z
UID:10001767-1774519200-1774630800@www.scilifelab.se
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:20260421T055816
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:20260421T055816
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:20260421T055816
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:20260421T055816
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:20260421T055816
CREATED:20250907T155725Z
LAST-MODIFIED:20260324T100918Z
UID:10001610-1774342800-1774458000@www.scilifelab.se
SUMMARY:Data Driven Systems Biology: Harnessing Big Data and Systems Approaches to Decode Complex Biology
DESCRIPTION:In the era of high-throughput technologies and rapidly expanding biomedical datasets\, the field of systems biology is undergoing a transformative shift. The Data-Driven Systems Biology conference brings together leading researchers who are leveraging computational\, statistical\, and systems-level approaches to integrate and interpret complex biological data. This conference will explore how multi-omics\, single-cell technologies\, and spatial profiling\, combined with advanced computational modeling and machine learning\, are reshaping our understanding of dynamic biological systems. \n\n\n\n\nThe DDLS research area symposia series aims to engage and build a strong national scientific community around the DDLS research themes. Each of the four areas arranges two symposia per year. Everyone interested in data-driven research is welcome to take part. We aim to unite researchers\, industry\, and healthcare to foster collaboration and advance the frontiers of data-driven life science. \n\n\n\nTarget Group: The DDLS research area Expert Group in Cell and Molecular Biology invites all interested in Data-driven life science to meet\, present\, interact\, and discuss Imaging in Cell and Molecular Biology. \n\n\n\nThe event will take place at Life City\, Solna\, Stockholm\, and will include presentations from international and national invited speakers and selected abstracts. The event is free of charge. \n\n\n\nDate: March 24-25\, 2026 \n\n\n\nStart on March 24: 11:00 – 12:30 Registration open. 11:30-12:30 Network lunch. The conference starts in the Lecture hall at 12:30. \n\n\n\nEnd: March 25 with a Network lunch from 12:30 to 13:30. \n\n\n\nVenue: Life City\, Solnavägen 3H i Solna. \n\n\n\nOrganized by: Arne Elofsson and Eduardo Villablanca\, DDLS Expert Group in Cell and Molecular Biology. \n\n\n\nContact: events@SciLifeLab.se \n\n\n\nProgram\n\n\n\nAgenda_DDLS_CMB_March2026_v7Download\n\n\n\nPoster session\n\n\n\nThe poster session will take place at 17:30 in Delta\, Campus Solna. Light food and drinks will be served. Please hang your poster on any empty poster board as soon as you arrive to Campus Solna after the Conference’s first day. Pins will be available. \n\n\n\nAbstract book\n\n\n\nRegistration\n\n\n\nThe registration deadline is March 10. We cannot accept any posters after deadline. To avoid empty seats\, registration will remain open with a que-list until the event begins. However\, registering after March 10 requires you to write your name on a name tag at on-site registration. Unfortunately\, we cannot accommodate allergies or dietary preferences for those who register after March 10. \n\n\n\nRegister here\n\n\n\nCancellation\n\n\n\nPlease! To minimize empty seats and food waste\, cancel your registration if you are unable to attend\, or update your lunch selection if your attendance changes. Cancel/update via the Confirmation email or email events@scilifelab.se. \n\n\n\n\n\n\n\nConfirmed speakers\n\n\n\nAlfonso Valencia\, ICREA Professor\, Barcelona Supercomputing Center\, Spain\nTitle: Data\, Digital Twins and AI \n\n\n\nBio: Prof. Alfonso Valencia is ICREA research Professor\, Director of the Life Sciences Department of the Barcelona Supercomputing Center\, Director of the Spanish National Bioinformatics Institute INB/ELIXIR-ES and coordinator of the data pillar of the Spanish Personalised Medicine intiative\, IMPaCT. His research interest is the development of Computational Biology methods and their application to biomedical problems. Some of the computational methods he developed are considered pioneering work in areas such as biological text mining\, protein coevolution\, disease networks and more recently modelling cellular systems (digital twins). He participates in some of the key cancer related international consortia. In terms of community services\, he is one of the initial promoters of the ELIXIR infrastructure\, founder of the Spanish and International Bioinformatics networks and former president of ISCB\, the international professional association of Bioinformaticians. He is Executive Editor of the main journal in the field (Bioinformatics OUP). \n\n\n\nAbstract: In this talk I will treat in some order these three topics: Data\, human Ditigal Twins and the impact of AI in biomedicine. \n\n\n\nI will address the persistent bottleneck of data access in biomedical research\, where the combination of legal and technical hurdles span the entire data lifecycle\, from discovery and access to integrated analysis. I will mention the current developments to overcome these limitations by implementing federated discovery and analysis systems designed to work across borders and heterogeneous resources. \n\n\n\nRegarding Digital Twins\, I will discuss the importance of those developments in the transition from statistical correlations\, which are standard in genomics analysis\, to mechanistic interpretations that will better align with the core objectives of molecular biology.  We are approaching this underdeveloped area with the construction of mechanistic models of cellular systems\, that are already showing promising results in critical biological systems. \n\n\n\nFinally\, I will discuss how the rapid advances of AI is influencing the work in different areas of biomedicine – including specific examples of how we combine Digital Twins and AI methods- as well as what I see as promises and limitations in this area. \n\n\n\n\nAvlant Nilsson\, KI\nTitle: From Omics to Mechanisms: Deep Learning Models of Molecular Networks for Precision Cancer Medicine \n\n\n\nBio: Avlant Nilsson is an Assistant Professor in Precision Medicine at the Department of Cell and Molecular Biology\, Karolinska Institutet\, and a group leader at SciLifeLab through the DDLS program. He holds an MSc (2014) and a PhD (2019) in Biological Engineering from Chalmers University of Technology\, where his thesis focused on the metabolism of proliferating cells\, including liver cancer. He then pursued postdoctoral research at the Massachusetts Institute of Technology (2019–2023)\, developing neural network models of signal transduction in immune cells. His research group\, currently comprising of two PhD students and two postdoctoral researchers\, develops data-driven models of molecular networks to understand how genetic alterations\, cell type of origin\, and cell–cell interactions shape cancer biology. The long-term goal of the lab is to advance computer-aided design of cancer medicine by predicting drug responses\, resistance mechanisms\, and microenvironmental interactions. \n\n\n\nAbstract: Cancer is highly heterogeneous\, spanning a multitude of genetic alterations\, cell types\, and microenvironmental contexts\, making it difficult to identify effective treatments for individual patients. Deep learning models are powerful predictive tools that could be applied to large-scale molecular data\, but their black-box nature limits their ability to generate mechanistic insight to guide therapeutic intervention. \n\n\n\nTo overcome this\, we develop biologically informed neural network models that embed known molecular interaction networks directly into the deep learning architecture. Specifically\, we construct recurrent neural network models of cells in which biomolecules are represented as nodes with connections defined by their physical interactions. These models take data with molecular causes as input (such as mutations and copy number variations) and are trained to predict omics readouts\, including gene expression\, protein phosphorylation states\, and metabolite levels. \n\n\n\nBy training models on high-throughput datasets spanning different cell types\, perturbations\, and conditions\, we can predict molecular responses in conditions that are withheld during training. We also use these models to expose non-canonical signaling events that would be difficult to identify directly from the data using standard analysis approaches. With this\, our framework offers the potential to identify novel drug targets\, biomarkers\, and to predict resistance mechanisms. \n\n\n\n\nCamilla Engblom\, KI\nTitle: Spatially resolving B cell clonal dynamics in cancer and beyond \n\n\n\nBio: Dr. Camilla Engblom is a SciLifeLab Fellow and an Assistant Professor in the Division of Immunology and Respiratory Medicine and the Department of Medicine\, Solna at the Karolinska Institutet (KI). Dr. Engblom received her PhD in Immunology from Harvard University in 2017 focusing on long-range cancer-host interactions involving myeloid cells (Dr. Mikael Pittet’s lab at Massachusetts General Hospital/Harvard Medical School). As a MSCA postdoctoral fellow in Dr. Jonas Frisén’s lab (KI)\, Dr. Engblom developed a spatial transcriptomics-based tool (Spatial VDJ) to map B cell and T cell receptors within human tissues. Located at SciLifeLab and the Center for Molecular Medicine (KI)\, the Engblom lab’s main research focus is to spatially and functionally resolve B cell clonal dynamics in cancer tissues and beyond. \n\n\n\nAbstract: B cells perform functions critical to human health\, including antibody production and antigen presentation. B cells develop\, differentiate\, and expand in spatially distinct sites across the body. B cells express clonal heritable B cell receptors (BCR) that confer exquisite molecular (i.e.\, antigen) specificity. B cell receptors can be defined by sequencing. Linking specific BCR sequences to their molecular and cellular surroundings\, i.e.\, ‘clonal niche’\, could help us understand and harness B cell activity. A technological bottleneck has been to capture the location of BCR sequences\, and by extension B cell clonal responses\, directly within tissues. We recently developed a spatial transcriptomics-based approach (Spatial VDJ) and associated computational pipelines to reconstruct B cell clonality in human tissues. Here\, we present adaptation of Spatial VDJ to murine tissue to enable preclinical studies and B cell receptor dynamics under inflammatory conditions\, including cancer. \n\n\n\n\nCarsten Hopf\, CeMOS Center for Mass Spectrometry and Optical Spectroscopy\, TH Mannheim\, Germany\nTitle: Enabling technologies for spatial metabolomics: Moving from single cells to 3D-space exploration in mixed reality \n\n\n\nBio: Carsten Hopf obtained his PhD in biochemistry from Tübingen University/Max-Planck-Institute for Developmental Biology. As an EMBO fellow in neuroscience\, he then worked at the Johns Hopkins University School of Medicine for three years\, before joining Cellzome AG\, a proteomics-focused drug discovery platform company in Heidelberg in 2001. There\, for 13 years\, he served in multiple roles in platform technology\, assay development\, drug discovery and business development\, and eventually as part of Cellzome’s leadership team until the end of 2014. \n\n\n\nSince 2005\, Carsten Hopf is a professor of bioanalytics\, proteomics and drug discovery at TH Mannheim. He currently heads TH.M’s CeMOS Research and Transfer Center that was recently selected as mass spectrometry imaging partner site of the EU-OPENSCREEN research infrastructure that SciLifeLab and KI are also parts of. Carsten is the Speaker of the M2Aind partnership for innovation in health industry in Mannheim\, and he serves on various science and innovation cluster boards. He is also an associated professor in the Medical and Biosciences Faculties of Heidelberg University and co-chair for “imaging” of the German Society for mass spectrometry (DGMS). Carsten’s research focuses on Mass Spectrometry and Optical Spectroscopy enabling technologies for health and life science\, especially spatial systems biomedicine. \n\n\n\nAbstract: MALDI-Mass spectrometry imaging (MSI)\, also referred to as spatial metabolomics\, has emerged as a powerful technology for spatially resolved analysis and visualization of lipids and metabolites in systems biology and clinical research. Advancement of MSI requires rapid progress in multiple areas such as instrumentation\, experimental workflows and computational strategies to harness big data. The talk will therefore initially review a “classic” technology show case using tissue slices: Spatial metabolomics revealed that Tet3 knockout enterocytes exhibit an unphysiological metabolic profile when compared with their wild-type counterparts suggesting that terminal cell differentiation is regulated by TET3 at the metabolic level. MSI technology has recently moved into two new directions: Single-cell metabolomics and 3D-reconstructed metabolomics. \n\n\n\nTo study proinflammatory activation of iPSC-derived microglia by bacterial lipopolysaccharide (LPS)\, we developed the PRISM-MS (PRescan Imaging for Small Molecule – Mass Spectrometry) platform for analysis and on-cell MS2 identification of low mass metabolites (<200 Da) in large cell populations. Itaconate and taurine were identified as markers for “activated” versus “resting” microglia\, respectively. Translation of single cell results to endogenous microglia in organotypic rat hippocampal slice cultures indicated that LPS-activation involves changes of the itaconate-to-taurine ratio and alterations in neuron-to-glia glutamine-glutamate shuttling. \n\n\n\nTo investigate fibroblast-colon cancer cell interactions in a simple 3D-culture model and in patient-derived organoids (PDOs)\, we built a translational 3D MSI platform as an end-to-end solution for 3D-enabling sample preparation\, 3D-reconstruction and data processing\, 3D-rendering\, and immersive user interaction with organoid big data in a mixed reality. When applied to colon cancer PDOs\, the methodology revealed that fluid-filled cysts characteristic of these PDOs were rich in purine nucleotides. \n\n\n\n\nErik Sonnhammer\, Stockholm University\nTitle: Harnessing Big Data for Network Biology with FunCoup 6 \n\n\n\nBio: Erik Sonnhammer is Professor of Bioinformatics at Stockholm University\, and previously had the same position at Karolinska Institutet\, Stockholm. He did a Ph.D. in bioinformatics at the Sanger Institute in Cambridge\, England. His research interests are in network and systems biology to understand gene and protein function on a large scale. The group has made many contributions to Gene Regulatory Network analysis\, including inference\, benchmarking\, and simulation. \n\n\n\nAbstract: FunCoup 6 is a major update to the FunCoup network database\, providing researchers with a significantly improved and redesigned platform for exploring the functional coupling interactome.  The FunCoup network database (https://FunCoup.org) contains some of the most comprehensive functional association networks of genes/proteins available. Functional associations are inferred by integrating different types of evidence combined with orthology transfer. FunCoup’s high coverage comes from using ten different types of evidence\, and extensive transfer of information between species.  \n\n\n\nKey innovations in release 6:– Enhanced regulatory link coverage: FunCoup 6 now includes over half a million directed gene regulatory links in the human network alone. 13 species in FunCoup now contain regulatory links..– The website is completely redesigned\, with updated API functionalities\, ​enhancing user accessibility and experience.– Integrated advanced online tools for network analysis: The integration of TOPAS for disease and drug target module identification\, along with network-based pathway enrichment analysis using ANUBIX\, expand the utility of FunCoup 6 for biomedical research.– New training framework: applied to produce comprehensive networks for 23 primary species and 618 additional orthology-transferred species.– FunCoup 6 is also available as a Cytoscape app. \n\n\n\nA unique feature of both the FunCoup website and the Cytoscape app is the possibility to perform ‘comparative interactomics’ such that subnetworks of different species are aligned using orthologs. FunCoup further demonstrates superior performance compared to other functional association networks\, offering researchers enhanced capabilities for studying gene regulation\, protein interactions\, and disease-related pathways.  \n\n\n\n\nJean Hausser\, KI\nTitle: Learning cellular dynamics of tissues from single-cell and spatial omics \n\n\n\nBio: Jean researches mathematical rules in the molecular tricks that cancer cells use to escape destruction by immune cells. We seek to articulate the molecular chat between immune and cancer cells into equations\, to serve as the foundation to engineer personalized cancer immunotherapy. We combine single-cell and spatial tumor profiling experiments\, machine-learning & data science\, and physics-style mathematical modeling. \n\n\n\nAbstract: Cell proliferation and death rates are central to tissue biology but measuring them in vivo remains a persistent challenge. Here we present tissue dynamics inference (TIDYI)\, which quantifies absolute cell proliferation and death rates from non-longitudinal single-cell RNAseq snapshots. TIDYI expands the capability of single-cell RNAseq to extracting the cell dynamics of healthy and pathological tissues in vivo. \n\n\n\n\nKaterina Despoina Nastou\, Statens Serum Institut\, Denmark\nTitle: Extracting protein-protein interactions from the literature with deep learning-based text mining \n\n\n\nBio: Katerina Nastou holds a Ph.D. in Bioinformatics and is a researcher at Statens Serum Institut in Copenhagen\, specializing in multi-omics data analysis\, biomedical text mining\, and systems biology. Her work focuses on applying deep learning to extract and model molecular relationships from large-scale biological data and the scientific literature. She has contributed to the STRING database\, a leading resource on protein networks\, by upgrading its text-mining channel with advanced deep learning-based language models. She also currently collaborates internationally on projects such as AIM-HEART and EPOCH. \n\n\n\nAbstract: Biomedical knowledge about molecular mechanisms is still mostly buried in the vastness of the biomedical literature. In this talk\, I will introduce a deep learning-based text-mining pipeline that reads the biomedical literature to extract protein-protein interactions and typed regulatory relations\, then plugs them into the STRING database. Powered by transformer-based language models\, the approach goes beyond simple co-occurrence to recover interactions that are mechanistically specific and often missed. I will highlight why high-quality labelled data are the real bottleneck\, how we tackle it with human-in-the-loop annotation\, and what we learned from models trained on the ComplexTome and RegulaTome corpora. Finally\, we will explore the possibilities unlocked by scaling up evidence-linked relation extraction. \n\n\n\n\nLucy Colwell\, University of Cambridge\, UK\nTitle: Data driven models that predict protein function from sequence \n\n\n\nBio: Lucy Colwell is a researcher on the Science team at Google DeepMind and a faculty member in chemistry at the University of Cambridge. Her primary interests are in the application of machine learning approaches to better understand the relationship between the sequence and function of proteins. Before moving to Cambridge Lucy received her PhD from Harvard University and held an EPSRC fellowship at the Institute for Advanced Study in Princeton\, NJ and the MRC-LMB in Cambridge. In 2018 Lucy was appointed a Simons Investigator in the Mathematical Modeling of Living Systems. Over the last few years Lucy’s team has worked closely with experts at EMBL-EBI to add millions of AI-generated protein function annotations to public databases. \n\n\n\nAbstract: Predicting protein function from amino acid sequence remains a fundamental challenge\, essential for discovering novel biological mechanisms and interpreting the functional effects of genomic mutations. By training on large curated sequence repositories\, we have developed machine learning models that map raw sequences directly to functional annotations. To provide a full-spectrum portrait of protein function\, our specialized large language models are trained to predict a suite of global functional fields (such as protein names\, GO terms\, and functional descriptions) directly from sequence.Moreover\, we present a novel approach that adapts Vision Transformer (ViT) architectures to the task of sequence segmentation\, enabling the end-to-end prediction of discrete functional domains—allowing a single model to make predictions across complex\, nested\, or discontinuous architectures. Crucially\, these systems successfully bridge large homology gaps; their predictions have been prospectively and independently experimentally validated\, demonstrating high levels of accuracy even for novel sequences that are highly distant from the training set. Finally\, we worked closely with collaborators at EMBL-EBI and across InterPro member databases\, collectively adding millions of predicted annotations to public databases and significantly expanding our functional map of the dark proteome. \n\n\n\n\nMarcel Tarbier\, Uppsala University\nTitle: That’s Gonna Leave a Mark: Computational inference of complex cell features \n\n\n\nBio: Marcel studied Biology and Bioinformatics in Germany before starting his PhD in Computational Biology at Stockholm University. In the lab of Marc Friedländer he characterized subtle gene expression variations in virtually identical cells – linking them to regulatory layers and showing their predictive potential. He moved to the lab of Vicent Pelechano at Karolinska Institute for his postdoc to investigate single-cell RNA degradation dynamics and cell lineage relationships – resulting in pioneering work which showed that cellular ancestries can be predicted using only gene expression. In 2025\, he started his lab as a DDLS fellow in precision medicine and diagnostics at Uppsala University and SciLifeLab\, focusing on computational approaches to infer complex cell features\, such as lineage and micro-environment\, to characterize cancer heterogeneity and phenotype switches. \n\n\n\nAbstract: In molecular biology and medicine the molecular composition of samples is the most utilized readout\, and transcriptomic measurements are at the heart of a myriad of break-throughs from developmental biology to pathophysiology. In complex systems\, single-cell readouts have revolutionized our understanding of molecular mechanisms. But single-cell gene expression measurements are “confounded” by complex cell features such as cell lineage relationship\, cellular micro-environment and cell cycle phase. None of these features can easily be measured alongside comprehensive single-cell readouts\, greatly limiting our ability to draw conclusions from single cell data and to put them into biological context. \n\n\n\nWe therefore develop computational tools to infer ancestry\, environment and cell cycle phase from gene expression data. These tools compute approximations of these features based on the marks they leave on the gene expression profiles. Here we present our latest advances in inferring cell lineage relationships in in situ sequencing data\, as well as the cellular microenvironment and cell-cycle phases in single-cell RNA-sequencing data using neural networks. \n\n\n\n\nMika Gustafsson\, Linköping University\nTitle: “Integrating protein interaction maps and omics for explainable health indicators” \n\n\n\nBio: Mika Gustafsson is a Professor in Translational Bioinformatics (PhD in Theoretical Physics\, 2010) at the Department of Physics\, Chemistry and Biology\, Technical Faculty\, Linköping University. Over the past ten years\, he has led a research group of five to seven members. His core expertise lies in creating and integrating network analyses with omics and has been developing machine learning methods for precision medicine. In many projects\, he has led medical doctors and molecular biologists in testing and validating omics-based findings\, working primarily on complex diseases such as multiple sclerosis. \n\n\n\nAbstract: High-dimensional omics data such as genome-wide DNA methylation capture cumulative effects of development\, environment\, lifestyle\, and disease. Yet\, most predictive models trained on these data remain difficult to interpret biologically\, limiting their utility for systems-level reasoning and clinical decision support. In this work\, we present a unifying framework that integrates protein–protein interaction (PPI) networks into deep representation learning\, yielding biologically structured\, explainable embeddings that support both multi-omic modeling and systems level health assessment. \n\n\n\nWe first show that deep autoencoders trained on large DNA methylation and transcriptomic compendia naturally organize their latent spaces into functionally coherent modules. By introducing a soft PPI prior during training\, we encourage each latent unit to correspond to localized regions of the human interactome\, without hard-wiring biological constraints. This network-guided learning produces compact\, non-redundant latent representations aligned with core biological processes such as immune signaling\, metabolism\, cell-cycle control\, and mitochondrial function. Importantly\, these structured embeddings transfer their mechanistic organization to downstream tasks: in cancer cohorts\, cross-omic translation models built on PPI-guided embeddings outperform accuracy-matched baselines while preferentially recovering known driver genes and hallmark pathways. As an intermediate example linking molecular representation to organismal phenotype\, we apply the same network-coherent embeddings to epigenetic aging. Using whole-blood DNA methylation across the human lifespan (n ≈ 18\,000)\, we develop highly accurate and interpretable neural-network age clocks that integrate data-driven embeddings with established CpG markers. These models not only achieve state-of-the-art precision but also recover age-specific epigenetic signatures enriched for example by developmental processes. Finally\, we use these representations for systems level health modeling. By defining bounded respiratory\, cardiovascular\, and metabolic health scores from clinical reference ranges and disease penalties\, and predicting them from blood methylation embeddings\, we obtain accurate and transparent health indicators that reflect both population structure and multi-system coupling. Feature attribution reveals biologically meaningful processes underlying each system\, such as airway repair and hypoxia responses for respiratory health\, endothelial remodeling for cardiovascular status\, and glucose–lipid metabolism for metabolic function. \n\n\n\nTogether\, this work demonstrates that embedding functional network knowledge directly into representation learning provides a scalable route from omics data to explainable\, system-aware health indicators. By keeping biology in the loss\, the approach remains flexible\, extensible\, and suitable for large cohorts and thereby advancing explainable AI for systems biology\, aging research\, and clinical decision support. \n\n\n\n\nSimon Koplev\, KTH\nTitle: Dynamics of immunological tissue architecture linking inflammation with colorectal cancer \n\n\n\nBio: Simon Koplev is a SciLifeLab Fellow and newly appointed group leader in computational biology at KTH Royal Institute of Technology\, Department of Gene Technology. He leads a computational biology research group investigating the fundamental principles and architecture of human tissues across organs in healthy steady-state and disease perturbations. The group is engaged with collaborative large-scale and open science efforts such as the Human Cell Atlas\, developing the next generation of reference datasets and computational methods. Simon holds a PhD in Medical Science from the University of Cambridge at the Cancer Research UK Cambridge Institute supervised by John Marioni and Martin Miller. He did his postdoc with Sarah Teichmann at the Sanger Institute and Cambridge Stem Cell Institute\, working on human single-cell and spatial studies of intestinal fibroblasts. Simon has 12 years of experience in bioinformatics research having published with more than 500 co-authors 35 peer-reviewed papers\, spanning research on cancer\, cardiovascular diseases\, fibroblasts\, gene regulatory networks\, and computational methods development using machine learning. He holds a MScEng in Systems Biology from the Technical University of Denmark\, supervised by Søren Brunak\, including 2 semesters as a Research Scholar at the Dana-Farber Cancer Institute\, Harvard Medical School. Simon began his scientific career with a BS in Biochemistry from the University of Copenhagen. \n\n\n\nAbstract: TBA \n\n\n\n\n\n\n\n\nManage your registration\n\n\n\n\nImproved event experience: Introducing the Lyyti Event app \n\n\n\nThis event uses Lyyti for registration. Lyyti has launched the Lyyti Event app\, where you can find your Lyyti registration\, confirmation\, and ticket. You can also edit your information until the registration deadline.  \n\n\n\nTo get started\, download “Lyyti Event” and sign up with the same email address you normally use for event registrations. The app only displays events associated with the email address used to create your account. \n\n\n\nIf you register for events using multiple email addresses\, your registrations will be split across separate app accounts. For the best experience\, please use one consistent email address for all Lyyti registrations. We hope this new functionality makes it easier for you to manage your participation.
URL:https://www.scilifelab.se/event/data-driven-systems-biology-harnessing-big-data-and-systems-approaches-to-decode-complex-biology/
LOCATION:Life City\, Solnavägen 3H\, Stockholm\, 113 64
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://www.scilifelab.se/wp-content/uploads/2025/09/DDLS_CMB_promo_clean.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260323T151500
DTEND;TZID=Europe/Stockholm:20260323T161500
DTSTAMP:20260421T055816
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260323T140000
DTEND;TZID=Europe/Stockholm:20260323T150000
DTSTAMP:20260421T055816
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
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