Maximizing Impact of a Data Science Hub for Cancer Detection in Africa
Official title: "Maximizing Impact of the Mbarara University Data Science Research Hub"
Funded at Mbarara University/science/ Technology · NIH-11515360 · Data updated 2026-11-12
A Uganda-based data science hub uses AI on medical images to help non-specialist health workers detect cancer more accurately in low-resource settings.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Mbarara University/science/ Technology NIH-funded |
| Lab location | 1 site (Mbarara, Uganda) |
| Project start | September 15, 2021 |
| Project end | June 30, 2027 |
| Funding year | 2026 |
| Award (this year) | $264,797 |
| NIH project number | 3U54TW012043-05S4 |
| Project ID | NIH-11515360 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates are individuals in Uganda or similar low-resource contexts where cancer screening and eye disease detection could impact clinical care.
✕Less likely to help
Patients in very remote areas without access to imaging or follow-up care may see limited immediate benefit unless services are scaled.
What this research studies
This project creates a data science hub that collects medical images, applies machine learning and AI to improve diagnostic and treatment algorithms, and uses implementation science to ensure findings translate to better patient outcomes. It includes training in data science and implementation science and launches pilot projects focused on eye disease from posterior imaging and mobile-phone cervical image analysis for cancer detection, with additional areas planned. Collaboration with MIT for data management and Mass General Hospital for implementation science strengthens technical and practical execution. The work aims to empower local clinicians and expand access to accurate diagnoses in Uganda and similar settings.
Why it matters
Potential benefit: If successful, patients in low-resource settings could receive faster and more accurate cancer diagnoses through AI-assisted imaging analyzed by trained local health professionals.
How similar studies have gone: Past efforts using AI on medical images have shown promise in improving diagnostic accuracy, though integration with implementation science in low-resource settings is still emerging.
Where this research is happening
-
Mbarara University/science/ Technology
Mbarara, Uganda Active
Researchers
- Principal investigator: Kaggwa, Fred — Mbarara University/science/ Technology
- Study coordinator: Kaggwa, Fred
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.