Personalized breast cancer screening to lower the risk of advanced cancer
Project 1
This project uses your health info, mammogram images, and AI to estimate a woman’s six-year risk of advanced breast cancer so screening can be tailored.
Quick facts
| Grant type | P01 program project |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California at Davis NIH-funded |
| Lab location | 1 site (Davis, United States) |
| Project ID | NIH-11182592 on NIH RePORTER |
What this research studies
This project will use past screening mammograms and medical information from women aged 40–74 to build risk models that predict the chance of being diagnosed with advanced breast cancer over six years. Researchers combine clinical risk factors, self-reported race/ethnicity, imaging features, and AI outputs and will create separate models for women who screen every year versus every two years. They'll check how well the models work across racial and ethnic groups and look for fairness in predictions. The team will also emulate a randomized trial using existing data to estimate how personalized screening might change advanced cancer rates.
Who could benefit from this research
Good fit: Ideal candidates are women aged 40–74 who receive routine screening mammograms and are interested in personalized screening plans.
Not a fit: People who do not get screening mammograms, men, or women outside the 40–74 age range are unlikely to directly benefit from this project.
Why it matters
Potential benefit: If successful, the tool could help tailor screening intensity and supplemental imaging to reduce advanced breast cancers and narrow racial gaps in outcomes.
How similar studies have performed: Previous work combining risk models and AI with mammography has shown promise for improving detection, but using these methods to predict long-term advanced-cancer risk and explicitly test equity is more recent.
Where this research is happening
Davis, United States
- University of California at Davis — Davis, United States (Active)
Researchers
- Principal investigator: Kerlikowske, Karla M — University of California at Davis
- Study coordinator: Kerlikowske, Karla M
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.