GigaTIME
Version: 1
GigaTIME is a cross-modal translator to generate virtual multiplex immunofluorescence (mIF) images from hematoxylin and eosin (H&E) slide images.
Intended Use
The data, code, and model checkpoints are intended to be used solely for (I) future research on pathology AI models and (II) reproducibility of the experimental results reported in the reference paper. The data, code, and model checkpoints are not intended to be used in clinical care or for any clinical decision-making purposes.Primary Use Cases
The primary intended use is to support AI researchers reproducing and building on top of this work. GigaTIME should be helpful for generating virtual mIF profiles from routine H&E pathology slides.Out-of-Scope Use Cases
Any deployed use case of the model --- commercial or otherwise --- is out of scope. Although we evaluated the models using a broad set of publicly-available research benchmarks, the models and evaluations are intended for research use only and not intended for deployed use cases.Responsible AI Considerations
Responsible AI is a shared responsibility and we have identified six principles and practices help organizations address risks, innovate, and create value: fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability. When downloaded or used in accordance with our terms of service, developers should work with their supporting model team to ensure this model meets requirements for the relevant use case and addresses unforeseen product misuse.While testing the model with images and/or text, ensure the the data is PHI free and that there is no patient information or information that can be tracked to a patient identity. Please see Microsoft's Responsible AI Principles and approach available at Microsoft's Responsible AI Principles .
Training Data
The model was trained on paired H&E and mIF slides, collected from Providence. Additional details are available in the reference paper: Multimodal AI generates virtual population for tumor microenvironment modeling .Model Specifications
LicenseCustom
Last UpdatedMarch 2026
Input TypeImage
Output TypeImage
ProviderMicrosoft
Languages2 Languages