prov-gigatime/GigaTIME
GigaTIME: Multimodal AI generates virtual population for tumor microenvironment modeling (Cell)
This project helps cancer researchers model the tumor microenvironment by generating virtual multiplex immunofluorescence (mIF) profiles from standard hematoxylin and eosin (H&E) pathology slides. It takes digitized H&E images as input and produces synthetic mIF data, allowing for deeper cellular analysis. Researchers studying tumor biology and pathology would use this to accelerate their investigations.
117 stars.
Use this if you are an AI researcher looking to reproduce or build upon methods for generating virtual mIF profiles from H&E slides to study the tumor microenvironment.
Not ideal if you intend to use the model for clinical diagnosis, patient care, or any commercial application.
Stars
117
Forks
26
Language
Jupyter Notebook
License
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Category
Last pushed
Jan 29, 2026
Commits (30d)
0
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