A new AI system for screening and treating cervical cancer in low and middle-income countries.
A novel, one stop, affordable, point of care and artificial intelligence supported system of screening, triage and treatment selection for cervical cancer and precancer in the LMICs
This study is working on a new AI system that helps check women for cervical cancer and related issues by looking at urine samples and images of the cervix, especially aimed at helping women in low and middle-income countries where cervical cancer is more common.
Quick facts
| Grant type | R37 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | International Agency for Res on Cancer NIH-funded |
| Lab location | 1 site (Lyon, France) |
| Project ID | NIH-10904621 on NIH RePORTER |
What this research studies
This research aims to develop an innovative artificial intelligence (AI) system that screens and triages women for cervical cancer and precancerous conditions using urine samples and cervical images. The AI will analyze infrared spectroscopic signals from urine to detect high-risk Human Papillomavirus (hr-HPV) and interpret images of the cervix to identify high-grade precancers and cancers. The project will be conducted in two phases: the first phase focuses on improving the technology and the second phase on validating its effectiveness. This approach is particularly targeted at women in low and middle-income countries where cervical cancer is prevalent.
Who could benefit from this research
Good fit: Ideal candidates for this research are women in low and middle-income countries who have not been screened for cervical cancer.
Not a fit: Patients who have already been diagnosed with cervical cancer or those who have received prior treatment may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could provide a cost-effective and efficient method for early detection and treatment of cervical cancer, potentially saving lives.
How similar studies have performed: Other research has shown promising results using AI for cancer detection, indicating that this approach has potential for success.
Where this research is happening
Lyon, France
- International Agency for Res on Cancer — Lyon, France (Active)
Researchers
- Principal investigator: Basu, Partha — International Agency for Res on Cancer
- Study coordinator: Basu, Partha
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.