Integrative histo-genomic analysis to guide cancer risk and targeted therapies with interpretable AI
Official title: Project 3 Integrative Histo-Genomic Analysis via Interpretable and Multi-dimensional Deep Learning Approaches for Pan-Cancer Risk Classification and Targeted Therapy
Funded at Tuskegee University · NIH-11621787 · Data updated 2026-11-12
Researchers are developing an advanced AI-powered approach to map genetic and cellular patterns across breast and cervical cancers to help tailor treatments.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Tuskegee University NIH-funded |
| Lab location | 1 site (Tuskegee Institute, United States) |
| Project start | September 20, 2024 |
| Project end | August 31, 2031 |
| Funding year | 2026 |
| Award (this year) | $363,687 |
| NIH project number | 4UH3HG013553-02 |
| Project ID | NIH-11621787 on NIH RePORTER |
Who could benefit from this research
✓Could help
Patients with breast or cervical cancer whose tumors can be profiled genomically and histologically for personalized treatment planning.
✕Less likely to help
Individuals without access to tumor profiling or those with cancers outside the studied types may not benefit directly.
What this research studies
This project uses multi-dimensional deep learning to integrate histology and genomic data from tumors, aiming to identify risk patterns and guide targeted therapies. By cataloging genomic signatures and spatial gene expression, the work seeks to inform earlier detection and personalized treatment decisions. The study is centered at Tuskegee University with a focus on diverse patient populations and real-world applicability of precision oncology.
Why it matters
Potential benefit: If successful, patients could receive more precise therapy plans based on their tumor's unique genetic and cellular profile.
How similar studies have gone: Similar multi-omics and AI-guided approaches have shown promise in identifying actionable targets and informing treatment in various cancers.
Where this research is happening
-
Tuskegee University
Tuskegee Institute, United States Active
Researchers
- Principal investigator: Bedi, Deepa — Tuskegee University
- Study coordinator: Bedi, Deepa
Related research
Other NIH-funded projects on the same topics.
-
Targeted therapy for AML using DHODH inhibitors to boost differentiation and immune response
Aims to help adults with acute myeloid leukemia by using a special drug approach that makes cancer cells act more like normal blood cells and supports the immune system.
-
Predicting how antimalarial drug resistance spreads with AI
A powerful AI model will be built to forecast how resistance to antimalarial drugs might spread in Africa and beyond, helping clinicians and public health teams stay ahead of outbreaks.
-
Self-supervised deep learning for biological sequences
A deep learning project uses self-supervised methods to better understand biological sequences and related data, with the goal of advancing biology and medicine.
-
Mobile phone imaging and AI to screen oral cancers in low-resource settings
A low-cost mobile phone device with artificial intelligence is being developed to help frontline health workers screen for oral cancer early in low-resource areas.
-
Linking Genetic Variants to Real-Life Health Effects with Smart AI
A new AI-powered approach will predict how genetic differences affect health across multiple levels to help doctors understand diseases and tailor care.
-
Integrative AI tools to map protein sequences to structures and functions
A scientist team will develop advanced AI methods to better connect protein sequences, their 3D shapes, and how they work, using large biological data from sequencing and structures.
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.