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DTSTART;TZID=Europe/Stockholm:20261126T083000
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SUMMARY:Mechanistic Modelling in Pharmacology\, Physiology\, and Neuroscience
DESCRIPTION:Understanding complex biological systems requires more than data\, it demands mechanistic insight. This conference highlights how mechanistic models can integrate clinical and experimental data with computational approaches. \n\n\n\n\n\n\n\nThe volume and complexity of life science data are growing at an unprecedented pace. While computational tools are increasingly used to structure and analyze these data\, there remains a critical gap in our ability to understand the data in a mechanistic and physically realistic way. Bridging this gap is essential for uncovering the fundamental principles that govern the function of molecules\, cells\, organs\, and entire organisms. \n\n\n\nMechanistic models play a central role in this effort and are key to advancing applications such as the development of new pharmaceuticals and improved clinical interventions. However\, progress is often hindered by the lack of a shared language between experimental scientists\, clinicians\, and computational researchers. \n\n\n\nThis conference will bring together experts from these fields to explore state-of-the-art tools and methodologies\, discuss how they can be effectively applied\, and foster stronger integration across disciplines. By promoting collaboration and mutual understanding\, the meeting aims to accelerate progress in pharmacology\, physiology\, and neuroscience. \n\n\n\n\nClick here to Register\n\n\n\n\nRegistration deadline October 25 \n\n\n\nPreliminary Program\n\n\n\n8:30 Registration opens \n\n\n\n9:00-12:15 Morning session: Molecules and Cells \n\n\n\nOpening – Fredrik Elinder \n\n\n\n \n\n\n\nJan Ellenberg – Imaging the molecular processes of cell division across scales\nProfessor\, Director of SciLifeLab \n\n\n\nThe rapid development of new imaging technologies allows unprecedented insights into the molecular machinery inside living cells and organisms. For the first time\, light and electron microscopy have molecular sensitivity and resolving power in situ\, and\, if used together\, can connect structural detail with molecular dynamics of the whole cell. Aided by machine learning driven image analysis powered by open sharing of image data\, this provides unprecedented opportunities for new insights into the molecular mechanisms that drive life’s core functions at the scale of the cell. \n\n\n\nI will present the progress we have made to study one of life’s most fundamental functions\, cell division\, by mapping the dynamic protein network\, assembly of individual protein complexes and genome re-folding that drive it. Our work has studied cell division in human cancer cells and early mammalian embryos using advanced cross-scale imaging methods\, including light-sheet\, quantitative fluorescence correlation spectroscopy (FCS)-calibrated\, super-resolution and correlative light and electron microscopy. The quantitative integrated molecular data that these new technologies deliver\, allow us to better understand how the molecular machinery functions in space and time to ensure faithful cell division and prevent the errors that underlie congenital disease\, infertility and cancer. \n\n\n\n\nLucie Delemotte – Title TBA\nSciLifeLab fellow\, KTH Royal Institute of Technology \n\n\n\nFocus TBA \n\n\n\n\nBjörn Forsberg – Title TBA\nDDLS Fellow\, Linköping University \n\n\n\nFocus TBA \n\n\n\n\n10:15-10:45 Coffee \n\n\n\nErik Lindahl – Title TBA\nProfessor Stockholm University\, Linköping University and KTH Royal Institute of Technology\, Director of National Academic Infrastructure for Super­computing in Sweden (NAISS) \n\n\n\nFocus TBA \n\n\n\n\nFredrik Heintz – From Language to Knowledge and Back Again\nProfessor\, Linköping University\, WASP Graduate School Director \n\n\n\nFocus TBA \n\n\n\n\nSpeaker – TBA\nFocus TBA \n\n\n\n\nPanel Debate\nFocus TBA \n\n\n\n\n12:15-13:30 Lunch \n\n\n\n13:30-16:45 Afternoon Session – System Biology \n\n\n\n \n\n\n\nPetra Ritter – Trustworthy Digital Brain Twins\nProfessor\, Charité University Medicine Berlin \n\n\n\nThis talk explores the integration of mechanistic modeling\, multiscale physiological data\, and artificial intelligence to construct personalized “Digital Brain Twins” for neuroscientific research and clinical applications. It addresses the computational\, methodological\, and ethical challenges in ensuring these virtual replicas remain dynamic\, precise\, and robustly validated across spatial and temporal scales. Ultimately\, the presentation highlights frameworks for building trustworthy in silico models capable of predicting disease progression\, evaluating targeted pharmacological interventions\, and advancing personalized medicine in neurology and neuroscience. \n\n\n\n\nGunnar Cedersund – M4-HEALTH – hybrid mechanistic and machine learning digital twin models as a basis for a new ecosystem for health\nAssociate Professor\, Linköping University \n\n\n\nFocus TBA \n\n\n\n\nHenrik Jörntell – Title TBA\nProfessor\, Lund University \n\n\n\nFocus TBA \n\n\n\n\n14:30-15:00 Coffee \n\n\n\nMorten Grunnet – Neuroscience Drug discovery and AI – Opportunities and limitations\nVice President and Head of Neuroscience at Lundbeck & Affiliate Professor at University of Copenhagen \n\n\n\nHow AI and data-driven approaches are currently being integrated into neuroscience drug discovery\, and how these approaches can be combined with mechanistic understanding across different biological scales – from molecular and cellular mechanisms to circuits\, systems and ultimately clinical phenotypes. A perspective on where the main opportunities\, but also the current limitations\, of AI and mechanistic modeling in pharmaceutical research. \n\n\n\n\nEduard Kerkhoven – From pathway maps to predictive models: Human-GEM and human metabolism\nSenior Researcher\, Chalmers University of Technology \n\n\n\nMetabolic pathway maps are familiar\, but they cannot tell you what happens when a gene is lost or a nutrient runs short. Genome-scale metabolic models turn the same biochemistry into something computable and testable against real perturbations. I will introduce Human-GEM\, the community model of human metabolism\, show a few applications across tissues\, organs and disease\, and suggest that models of this kind become more valuable as omics data accumulate\, by giving those measurements a mechanistic structure to be interpreted against. \n\n\n\n\nJeanette Hellgren-Kotaleski – Title TBA\nProfessor\, KTH Royal Institute of Technology \n\n\n\nFocus TBA \n\n\n\n\nPanel Debate\nFocus TBA \n\n\n\n\nConcluding Remarks – Per Petersson & Johan Wessberg \n\n\n\n\n\n\n\nConfirmed Panelists \n\n\n\nSiv Andersson\, Professor\, Uppsala University\, Knut and Alice Wallenberg Foundation \n\n\n\nA representative from The Swedish Research Council – TBA \n\n\n\nPartners \n\n\n\nSciLifeLab & the National Committee for Pharmacology\, Physiology and Neuroscience of the Royal Academy of Sciences \n\n\n\nOrganizing committee \n\n\n\nFredrik Elinder\, Professor of Molecular Neurobiology\, Electrophysiologist\, Linköping University \n\n\n\nJohan Wessberg\, Professor and Principal Investigator Department of Physiology / Neurophysiology\, Gothenburg University \n\n\n\nPer Petersson\, Professor in the field of Neurophysiology\, Umeå University
URL:https://www.scilifelab.se/event/mechanistic-modelling-in-pharmacology-physiology-and-neuroscience/
LOCATION:Royal Swedish Academy of Sciences\, Lilla Frescativägen 4A\, Stockholm\, 114 18\, Sweden
CATEGORIES:Event
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ORGANIZER;CN="SciLifeLab Link%C3%B6ping":MAILTO:linkoping@scilifelab.se
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DTSTART;TZID=Europe/Stockholm:20270406T080000
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SUMMARY:DDLS Cell & Molecular Biology 2027 theme workshop: Toward a national imaging informatics strategy
DESCRIPTION:Please save the day for the 2027 workshop on the theme “Toward a national imaging informatics strategy” – hosted by DDLS Cell & Molecular Biology. \n\n\n\nMicroscopy is facing ever-increasing challenges: Datasets are reaching terabyte sizes\, computing requires software designed for GPUs\, and there is an increased demand for smart microscopy (“AI in the loop”).  \n\n\n\nThis workshop will aim to answer questions such as  \n\n\n\n(1) Which file formats should we use\, and how do we archive the data?  \n\n\n\n(2) How do we orchestrate computing?  \n\n\n\n(3) How do we integrate software\, and what new software is needed?  \n\n\n\n(4) How do we get cross-HPC compatibility?  \n\n\n\n(5) How do we benefit from agentic AI? \n\n\n\nTarget Group: This event aims to gather stakeholders (power users\, software developers\, HPC and core facility managers) in identifying present and future challenges (first day)\, followed by a 2-day hands-on hackathon and/or focus sessions to begin tackling the most pressing issues. \n\n\n\nRegistration will open <date>\, limited seats available\, in-person attendance only. Travel and accommodation will be paid by participants.  \n\n\n\nFor questions\, please contact johan.henriksson@umu.se
URL:https://www.scilifelab.se/event/ddls-cell-molecular-biology-2027-theme-workshop-toward-a-national-imaging-informatics-strategy/
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