Multimodal and Generative AI for Pathology (Patient-facing overview)
Official title: Multimodal and Generative AI for Pathology
Funded at Broad Institute, INC. · NIH-11406114 · Data updated 2026-11-12
A research project at a major medical center will develop advanced computer tools that help doctors interpret tissue slides more consistently and accurately, potentially improving diagnoses and treatment decisions for patients.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Broad Institute, INC. NIH-funded |
| Lab location | 1 site (Cambridge, United States) |
| Project start | September 15, 2020 |
| Project end | August 31, 2030 |
| Funding year | 2026 |
| Award (this year) | $466,393 |
| NIH project number | 5R35GM138216-07 |
| Project ID | NIH-11406114 on NIH RePORTER |
Who could benefit from this research
✓Could help
Patients whose diseases are diagnosed or monitored through tissue pathology (e.g., cancer, transplant rejection) could benefit from improved diagnostic accuracy and prognosis.
✕Less likely to help
Patients not undergoing tissue pathology evaluation or whose conditions are not tied to histopathology may not directly benefit.
What this research studies
This grant funds a project at the Broad Institute to create and share new AI methods that analyze tissue images and combine them with molecular data. The aim is to reduce variability in how pathologists read slides and to provide clinicians with clearer, more objective results. The work emphasizes developing user-friendly software and models that can be used in real-world pathology workflows and research. It focuses on self-supervised learning and data fusion techniques to integrate microscope images with multi-omics data for better interpretation of disease biology.
Why it matters
Potential benefit: If successful, the tools could lead to faster, more reliable pathology readings and better-informed treatment choices for patients.
How similar studies have gone: Prior work shows AI can improve consistency in pathology readings, with ongoing efforts progressing toward clinical adoption; this renewal builds on that foundation with advanced multimodal methods.
Where this research is happening
-
Broad Institute, INC.
Cambridge, United States Active
Researchers
- Principal investigator: Mahmood, Faisal — Broad Institute, INC.
- Study coordinator: Mahmood, Faisal
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.