Improving breast cancer screening and prevention using advanced data analysis
Official title: Core B: Biostatistics and Bioinformatics
Funded at University of California, San Francisco · NIH-10935793 · Data updated 2026-11-12
This study is all about improving breast cancer screening and prevention by using personalized methods to better understand your specific risk, helping to find the best ways to detect and manage breast cancer for you.
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 start | September 11, 2024 |
| Project end | August 31, 2029 |
| Funding year | 2024 |
| Award (this year) | $471,589 |
| NIH project number | 1P01CA281826-01A1 |
| Project ID | NIH-10935793 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals at risk for breast cancer, particularly those who may benefit from personalized screening approaches.
✕Less likely to help
Patients who do not have a risk of breast cancer or those who are not eligible for screening may not receive any benefit from this research.
What this research studies
This research focuses on enhancing breast cancer screening and prevention through a precision medicine platform. It aims to personalize screening strategies by utilizing advanced biostatistics and bioinformatics techniques, including subtype-specific risk assessments and polygenic risk scores. The project will also evaluate the effectiveness of these personalized approaches in predicting breast cancer subtypes and their growth rates. By collaborating with various scientists, the initiative seeks to ensure high-quality and reproducible research outcomes.
Why it matters
Potential benefit: If successful, this research could lead to more effective and personalized breast cancer screening methods, potentially improving early detection and prevention strategies.
How similar studies have gone: Previous research has shown promising results in using advanced data analysis for personalized medicine, indicating potential success for this approach.
Where this research is happening
-
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
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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.