Using AI and genetics to improve breast cancer screening and prevention
Official title: Project 3: Integration of mammographic AI, clinical, and genomics information to improve breast cancer subtype-specific risk-based screening and prevention
Funded at University of California, San Francisco · NIH-11177237 · Data updated 2026-11-12
This study is looking to improve breast cancer screening by using smart technology and genetic information to help identify people who might be at higher risk for certain types of breast cancer, so that you can get a more personalized and effective screening plan just 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) | $706,347 |
| NIH project number | 1P01CA281826-01A1 |
| Project ID | NIH-11177237 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals at varying risk levels for breast cancer, particularly those with a family history or genetic predispositions.
✕Less likely to help
Patients who have already been diagnosed with advanced breast cancer may not benefit from this research.
What this research studies
This research aims to enhance breast cancer screening by integrating advanced artificial intelligence techniques with clinical and genetic information. The project focuses on developing a predictive model that can better identify individuals at risk for specific subtypes of breast cancer, moving beyond traditional screening methods. By leveraging deep-learning AI to analyze mammographic features and incorporating genetic data, the goal is to create a more personalized and effective screening approach. Patients participating in this research may benefit from tailored screening strategies that are more aligned with their individual risk profiles.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and personalized breast cancer screening, potentially reducing the incidence of advanced cancers.
How similar studies have gone: Previous studies have shown promise in using AI and genetic information for cancer risk assessment, indicating a strong potential for success in this novel approach.
Where this research is happening
-
University of California, San Francisco
San Francisco, United States Active
Researchers
- Principal investigator: Arasu, Vignesh a — University of California, San Francisco
- Study coordinator: Arasu, Vignesh a
Related research
Other NIH-funded projects on the same topics.
-
Improving Breast Cancer Guideline Adherence in Nigeria
Aimed at helping doctors in Nigeria follow international guideline-based breast cancer care to improve outcomes for women with breast cancer.
-
Genomic study to understand how genetics and epigenetics shape triple-negative breast cancer in African ancestry
This study looks at how inherited genes and gene activity affect triple-negative breast cancer in people of African ancestry to better understand why outcomes can be worse.
-
Translational breast cancer research to improve treatment options
A comprehensive program at Baylor College of Medicine is focusing on breast cancer; researchers will advance targeted therapies and biomarkers to help patients with aggressive or hard-to-treat forms.
-
Cancer Pain Management for Asian American Breast Cancer Survivors with Depressive Symptoms
A technology-based program helps Asian American breast cancer survivors with depressive symptoms manage chronic pain more effectively from home using a web app and mobile tools.
-
Co-Targeting IL-6 and CDK4/6 to Prevent TNBC in Women Veterans
A study aims to block two cancer-promoting pathways (IL-6 and CDK4/6) to prevent or reduce progression of triple-negative breast cancer in women veterans.
-
Gut bacteria and metabolites linked to breast density and cancer risk
A small, patient-friendly study will explore whether gut bacteria and their byproducts are connected to high breast density, which can raise cancer risk and make screening less accurate.
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.