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VERSION:2.0
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X-WR-CALNAME:IBIIS & AIMI Seminar: Multimodal\, Generative and Agentic AI f
 or Pathology
X-WR-TIMEZONE:Pacific Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260608T231250Z
UID:tag:localist.com\,2008:EventInstance_48544162189326
DTSTART:20250115T200000Z
DTEND:20250115T210000Z
DESCRIPTION:Faisal Mahmood\, PhD\nAssociate Professor\, Harvard Medical Sch
 ool\nDivision of Computational Pathology\, BWH\nDepartment of Pathology\, 
 BWH and MGH \nCancer Program\, Broad Institute of Harvard and MIT \nCancer
  Data Science\, Dana-Farber Cancer Center\n\nTitle: Multimodal\, Generativ
 e and Agentic AI for Pathology\n\nAbstract\n\nAdvances in digital patholog
 y and artificial intelligence have presented the potential to build models
  for objective diagnosis\, prognosis and therapeutic-response and resistan
 ce prediction. In this talk we will discuss our work on: (1) Data-efficien
 t methods for weakly-supervised whole slide classification with examples i
 n cancer diagnosis and subtyping (Nature BME\, 2021)\, identifying origins
  for cancers of unknown primary (Nature\, 2021) and allograft rejection (N
 ature Medicine\, 2022) (2) Discovering integrative histology-genomic progn
 ostic markers via interpretable multimodal deep learning (Cancer Cell\, 20
 22\; IEEE TMI\, 2020\; ICCV\, 2021\; CVPR\, 2024\; ICML\, 2024). (3) Build
 ing unimodal and multimodal foundation models for pathology\, contrasting 
 with language and genomics (Nature Medicine\, 2024a\, Nature Medicine 2024
 b\, CVPR 2024). (4) Developing a universal multimodal generative co-pilot 
 and chatbot for pathology (Nature\, 2024). (5) 3D Computational Pathology 
 (Cell\, 2024) (6) Bias and fairness in computational pathology algorithms 
 (Nature Medicine\, 2024\; Nature BME 2023).
GEO:37.431462;-122.174561
LOCATION:Clark Center\, S360
SUMMARY:IBIIS & AIMI Seminar: Multimodal\, Generative and Agentic AI for Pa
 thology
URL;VALUE=URI:https://events.stanford.edu/event/ibiis-aimi-seminar-multimod
 al-generative-and-agentic-ai-for-pathology
CATEGORIES:Class/Seminar
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