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Multimodal AI generates virtual population for tumor microenvironment modeling

delete2025-12-09
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OA
AI
J
Jeya Maria Jose Valanarasu
H
Hanwen Xu
N
Naoto Usuyama
C
Chanwoo Kim
C
Cliff Wong
P
Peniel Argaw
R
Racheli Ben Shimol
A
Angela Crabtree
K
Kevin Matlock
A
Alexandra Q. Bartlett
J
Jaspreet Bagga
Y
Yu Gu
S
Sheng Zhang
T
Tristan Naumann
B
Bernard A. Fox
B
Bill Wright
A
Ari Robicsek
B
Brian Piening
C
Carlo Bifulco *
S
Sheng Wang *
DOI:10.1016/j.cell.2025.11.016delete
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Abstract

Abstract

En 中文
• GigaTIME uses multimodal AI to translate H&E pathology slides to spatial proteomics • GigaTIME generates a virtual population with cell states from routine H&E slides • Virtual population enables large-scale clinical discovery and patient stratification • Virtual population reveals new spatial and combinatorial protein activation patterns
Keywords:
multimodal AI
precision health
tumor microenvironment
digital pathology
real-world evidence
spatial proteomics
virtual population
real-world data
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Journal

Cell cover
Cell
IF:
42.5
Papers:
1.1K
Citations:
31.1W

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