Using AI to improve colorectal cancer diagnosis and prognosis in Africa
Leveraging artificial intelligence/machine learning-based technology to overcome specialized training and technology barriers for the diagnosis and prognostication of colorectal cancer in Africa
This study is working to improve how doctors diagnose and understand colorectal cancer in Africa by using smart computer technology to analyze images from tissue samples, making it easier to spot important details that can help guide treatment.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Aga Khan University (Kenya) NIH-funded |
| Lab location | 1 site (Nairobi, Kenya) |
| Project ID | NIH-11105758 on NIH RePORTER |
What this research studies
This research aims to enhance the diagnosis and prognosis of colorectal cancer (CRC) in Africa by utilizing an advanced artificial intelligence (AI) and machine learning (ML) pipeline. The project focuses on automating the analysis of digital images from histopathology slides, which are crucial for cancer diagnosis. By identifying distinct regions in these images, the AI system can predict important diagnostic and prognostic features, ultimately guiding treatment decisions. The research involves collaboration between Aga Khan University and local hospitals in Kenya to ensure the approach is relevant and accessible to the population.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals in Africa who are at risk for or diagnosed with colorectal cancer.
Not a fit: Patients outside of Africa or those with cancers other than colorectal cancer may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly improve the accuracy and speed of colorectal cancer diagnosis and prognosis in African populations.
How similar studies have performed: Similar research utilizing AI for cancer diagnosis has shown promising results, indicating that this approach could be effective.
Where this research is happening
Nairobi, Kenya
- Aga Khan University (Kenya) — Nairobi, Kenya (Active)
Researchers
- Principal investigator: Saleh, Mansoor N — Aga Khan University (Kenya)
- Study coordinator: Saleh, Mansoor N
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 below.