NIH-funded research R37 grant

Affordable AI-guided all-in-one cervical cancer screening and treatment tool for low- and middle-income countries

Official title: 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

Funded at International Agency for Res on Cancer · NIH-11403712 · Data updated 2026-11-12

This project uses AI to screen women with a urine test and cervical photos to find high-risk HPV and guide same-visit triage and treatment decisions in low-resource settings.

More Cervical Cancer research and trials

Quick facts

Grant typeR37 grant
Study typeNIH-funded research
Funding institutionInternational Agency for Res on Cancer
NIH-funded
Lab location1 site (Lyon, France)
Project startAugust 15, 2023
Project endJuly 31, 2028
Funding year2025
Award (this year)$91,214
NIH project number3R37CA275824-03S1
Project IDNIH-11403712 on NIH RePORTER

Who could benefit from this research

Could help

Women of screening age in low- and middle-income countries who have not recently received cervical cancer screening are the ideal candidates.

Less likely to help

People without a cervix, those already treated for cervical cancer, or individuals outside the study regions are unlikely to benefit from participation.

What this research studies

If you take part, you would give a urine sample and have cervical images taken with a dedicated camera so an AI can look for high-risk HPV and signs of precancer. The team will use infrared spectroscopy on urine to flag HPV and an AI algorithm to read cervical photos to detect high-grade precancers and determine the transformation zone for treatment planning. The researchers already have a prototype camera and AI models and will improve them in the first two years and run larger validation work over the next three years. The work is focused on clinics in low- and middle-income countries where screening access is limited.

Why it matters

Potential benefit: If successful, this could provide fast, low-cost screening and help clinicians decide treatment at the point of care, potentially reducing cervical cancer in underserved areas.

How similar studies have gone: AI image-based cervical screening has shown promising results and preliminary urine spectroscopy work detected high-risk HPV, but combining both approaches for triage and treatment selection is relatively new.

Where this research is happening

  • International Agency for Res on Cancer
    Lyon, France
    Active

Researchers

  • Principal investigator: Basu, Partha — International Agency for Res on Cancer
  • Study coordinator: Basu, Partha

Related research

Other NIH-funded projects on the same topics.

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.