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DTSTART:20241103T020000
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DESCRIPTION:The tumor immune microenvironment (TIME) is critical for cance
 r progression and immunotherapy response\, but spatial proteomics methods
  to study TIME remain expensive and difficult to scale. In this talk\, I 
 will present GigaTIME \, a multimodal AI framework that translates routin
 e H&E pathology slides into virtual spatial proteomics maps. Trained on 4
 0 million paired H&E–mIF cells across 21 proteins\, GigaTIME was applied 
 to over 14\,000 patients across 24 cancer types to generate a population-
 scale virtual TIME atlas from 50+ hospitals and 1000+ clinics of the Prov
 idence health system. This enabled large-scale discovery of spatial prote
 in activation patterns associated with biomarkers\, staging\, survival\, 
 and patient stratification - demonstrating how multimodal AI can unlock s
 calable medical discovery from real-world clinical data. Speaker Bio: Jey
 a Maria Jose Valanarasu\, PhD\, is a Senior Researcher at Microsoft Resea
 rch in the Real-World Evidence group\, where he develops multimodal AI sy
 stems for healthcare and biomedical discovery using population-scale real
 -world data. His research focuses on applications in radiology\, patholog
 y\, and oncology\, with an emphasis on virtual patient/population modelin
 g\, spatial medicine\, and AI-driven clinical discovery. Previously\, he 
 was a postdoctoral researcher at Stanford University working with Andrew 
 Ng and Curt Langlotz on medical foundation models and synthetic data gene
 ration. He earned his PhD and MS from Johns Hopkins University under the 
 supervision of Vishal M. Patel. His work has been recognized with honors 
 including the MICCAI Young Scientist Impact Award and the Amazon Research
  Fellowship\, and has appeared at leading venues such as Cell\, Nature\, 
 CVPR\, ICLR\, ECCV\, and MICCAI.\n\nSpeaker:\nJeya Maria Jose Valanarasu\
 , PhD\n\nAdmission:\nFree\n\nFood:\nLunch\n\nDetails URL:\nhttps://medici
 ne.yale.edu/event/research-in-progress-or-rising-star-seminar-6-11/\n
DTEND;TZID=America/New_York:20260611T130000
DTSTAMP:20260609T231616Z
DTSTART;TZID=America/New_York:20260611T120000
LOCATION:Zoom\, URL: https://yale.zoom.us/j/97037559157
SEQUENCE:0
STATUS:Confirmed
SUMMARY:Research in Progress | Rising Star Seminar
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