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UID:ecbe0b16-efac-46bd-99f1-3c068616fd74@nexttoyou
DTSTAMP:20261106T172121Z
DTSTART:20261113T180000Z
DTEND:20261113T190000Z
SUMMARY:IEEE Keynote Speaker Series - Toward Federated Biomedical Digital 
 Twins for Digital Trials
LOCATION:Online Event
DESCRIPTION:This talk will review advances in federated learning and biome
 dical digital twins for digital trials. These advances build naturally on
  two closely related topics: intelligent recognition of behavioral trajec
 tory patterns and real-time machine learning. Together\, these approaches
  have the potential to support scalable\, privacy-preserving\, and person
 alized digital health solutions. Federally funded projects will serve as 
 use cases\, showcasing newly developed AI algorithms\, models\, and web-b
 ased databases. The talk will also address the reproducibility of AI meth
 ods and the role of real-time learning within the broader context of digi
 tal health and the Internet of Medical Things\, concluding with emerging 
 trends\, potential applications\, and key challenges.\n---\nEvent Details
 : https://sundevilcentral.eoss.asu.edu/rsvp?id=417718\n\nhttp://next-to-u
 .app/events/ecbe0b16-efac-46bd-99f1-3c068616fd74
URL:http://next-to-u.app/events/ecbe0b16-efac-46bd-99f1-3c068616fd74
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