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DTSTART:20250330T010000
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DTSTART;TZID=Europe/London:20250725T110000
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DTSTAMP:20260625T191135
CREATED:20250701T182705Z
LAST-MODIFIED:20250701T182705Z
UID:10001825-1753441200-1753452000@www.dementiaresearcher.nihr.ac.uk
SUMMARY:Accelerated AI for Imaging\, Genomics & Biomed Devices
DESCRIPTION:Join NVIDIA and DC Genomics for an in-person workshop exploring how accelerated platforms are transforming genomics\, imaging\, and biomedical devices. \nDr Ben Busby\, Senior Alliance Manager at NVIDIA\, will present “Ideas for Accelerated & Integrated Compute in Imaging\, Genomics\, and Devices across Biobank-Scale Datasets.” \nThis session will explore how agentic AI and integrated compute are redefining the infrastructure behind large-scale biomedical data—powering new approaches to neuroimaging\, genomics\, and device-driven health research. \nHighlights include: \n\nReal-time sequence alignment and annotation\nGenerative models for synthetic medical imaging\nSingle-cell analysis at population scale\nOn-device AI for edge-biotech use\nMRI applications in dementia and neurodegeneration\nVariant analysis with haploblock architecture\nKnowledge graphs as dynamic memory systems\nGenomics\n\nThe session will also address the vital steps of validation\, contextualisation\, and digital hygiene—ensuring that AI-generated biomedical data remains robust and meaningful. \nSupported by King’s College London\, UK DRI\, UK MND Research Institute\, The Alan Turing Institute\, Alzheimer’s Research UK\, and others. \nRegister to Attend
URL:https://www.dementiaresearcher.nihr.ac.uk/event/accelerated-ai-for-imaging-genomics-biomed-devices/
LOCATION:King’s College London\, Strand\, London\, Greater London\, WC2R 2LS\, United Kingdom
CATEGORIES:Workshop
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DTSTART;TZID=Europe/London:20250725T120000
DTEND;TZID=Europe/London:20250725T130000
DTSTAMP:20260625T191135
CREATED:20250710T103547Z
LAST-MODIFIED:20250710T103547Z
UID:10001833-1753444800-1753448400@www.dementiaresearcher.nihr.ac.uk
SUMMARY:Geographic info systems & spatial data with applications to health
DESCRIPTION:Where people live shapes their health. Maps show how and why. \nIn this Health Data Research UK Webinar Ollie Thwaites will introduce geographic information systems (GIS) and some of the common data types. He will then explain how exposure can be defined and coded\, ending with some spatial analysis techniques. \nRebecca Pedrick-Case will talk about the technical aspects of large scale data linkage and experience with projects that have used this data. \nSpeakers\nOliver Thwaites – Data Scientist\, Environment and Health Research Centre (ENVHE)\, Population Data Science. Swansea University Medical School\n\n\nOllie is a data scientist in the Environment and Health Research Centre (ENVHE) based at Population Data Science in Swansea University Medical School. He is funded through Health Data Research UK\, working on projects under their social and environmental determinants of health and inflammation and immunity research driver programmes.\n\n\nRebecca Pedrick-Case – Research Officer and GIS Data Manager\, Environment and Health Research Centre (ENVHE)\, Population Data Science. Swansea University Medical School\n\nBecky is a research officer and GIS Data Manager at the Environment and Health Research Centre (ENVHE) based at Population Data Science in Swansea University Medical School\, funded by Administrative Data Research Wales.\n\nRegister to Attend
URL:https://www.dementiaresearcher.nihr.ac.uk/event/geographic-info-systems-spatial-data-with-applications-to-health/
LOCATION:Online\, United Kingdom
CATEGORIES:Training
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ORGANIZER;CN="Health Data Research UK":MAILTO:enquiries@hdruk.ac.uk
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