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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME:Computational Cancer Community (C3) Invited Seminar
X-WR-TIMEZONE:Pacific Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260909T010119Z
UID:tag:localist.com\,2008:EventInstance_47942208538908
DTSTART:20241112T230000Z
DTEND:20241113T000000Z
DESCRIPTION:In-Person or via zoom: Join for an Invited Seminar on "Enhancin
 g Cancer Pathology Evaluation through AI: Foundation Models and Clinical A
 pplications."\n\nGuest speaker: Kun-Hsing "Kun" Yu\, M.D\, Ph.D. is an Ass
 istant Professor in the Department of Biomedical Informatics at Harvard Me
 dical School\n\n(Rock Hall will be accessible from the courtyard entrance)
 \n\nSpeaker bio and website:\nKun-Hsing "Kun" Yu\, M.D\, Ph.D. is an Assis
 tant Professor in the Department of Biomedical Informatics at Harvard Medi
 cal School. He developed the first fully automated artificial intelligence
  (AI) algorithm to extract thousands of features from whole-slide histopat
 hology images\, discovered the molecular mechanisms underpinning the micro
 scopic phenotypes of tumor cells\, and successfully identified previously 
 unknown cellular morphologies associated with patient prognosis. His lab i
 ntegrates cancer patients' multi-omics (genomics\, epigenomics\, transcrip
 tomics\, and proteomics) profiles with quantitative histopathology pattern
 s to predict their clinical phenotypes. More than 30 research laboratories
  worldwide have independently validated the AI methods developed in the Yu
  Lab.\n\nWebinar details below!
GEO:37.769172;-122.391426
LOCATION:Rock Hall\, Auditorium
SUMMARY:Computational Cancer Community (C3) Invited Seminar
URL;VALUE=URI:https://calendar.ucsf.edu/event/computational-cancer-communit
 y-c3-invited-seminar
CATEGORIES:Research & Academia
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