Data and statistical support for personalized breast cancer screening
Core B: Biostatistics and Bioinformatics
Combining genetic risk scores, mammogram AI, and clinical information to personalize breast cancer screening for people with breasts.
Quick facts
| Grant type | P01 program project |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California, San Francisco NIH-funded |
| Lab location | 1 site (San Francisco, United States) |
| Project ID | NIH-11191517 on NIH RePORTER |
What this research studies
This core provides the biostatistics, bioinformatics, and data management that support a program to personalize breast cancer screening and prevention. The team will expand enrollment in the WISDOM network and use genetic risk scores, AI-read mammograms, and clinical factors to predict specific breast cancer subtypes and growth rates. They will update risk models and use simulation modeling to estimate long-term benefits, harms, and cost-effectiveness. A centralized analytics group will manage data, run analyses, and ensure reproducible, high-quality results for the program's projects.
Who could benefit from this research
Good fit: Ideal participants are people with breasts who are willing to share genetic data, mammogram images, and medical history to help personalize screening.
Not a fit: People unwilling to provide genetic or imaging data, or those already managed under specific hereditary-cancer protocols, may not see direct benefit from this work.
Why it matters
Potential benefit: If successful, this work could tailor screening schedules so dangerous cancers are found earlier and low-risk people avoid unnecessary tests.
How similar studies have performed: Related efforts using polygenic risk scores and mammogram AI in programs like WISDOM have shown promising early results, but broader clinical benefit is still being established.
Where this research is happening
San Francisco, United States
- University of California, San Francisco — San Francisco, United States (Active)
Researchers
- Principal investigator: Kim, Mi-Ok — University of California, San Francisco
- Study coordinator: Kim, Mi-Ok
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.