Assessing breast cancer risk using imaging techniques
Official title: Image-based risk assessment to identify women at high-risk for breast cancer
Funded at Waved Medical LLC · NIH-10759110 · Data updated 2026-11-12
This study is looking for a better way to help women understand their risk of developing breast cancer by examining mammogram images to see the density and makeup of their breast tissue, so healthcare providers can offer more personalized care and support.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Waved Medical LLC NIH-funded |
| Lab location | 1 site (Orono, United States) |
| Project start | September 1, 2023 |
| Project end | August 31, 2025 |
| Funding year | 2023 |
| Award (this year) | $405,950 |
| NIH project number | 1R41CA285182-01 |
| Project ID | NIH-10759110 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are women undergoing routine mammography, particularly those with dense breast tissue or a family history of breast cancer.
✕Less likely to help
Patients who have already been diagnosed with breast cancer or those without breast tissue abnormalities may not benefit from this research.
What this research studies
This research aims to develop a new method for assessing breast cancer risk in women by analyzing mammography images. Unlike traditional approaches that rely on identifying existing cancer, this project focuses on measuring the density and composition of breast tissue to identify women who may be at higher risk for developing breast cancer. The study utilizes advanced imaging techniques and aims to create a product that can help healthcare providers better identify women who could benefit from increased surveillance or preventive measures. By improving risk assessment, the research seeks to enhance early detection and treatment options for breast cancer.
Why it matters
Potential benefit: If successful, this research could lead to more accurate identification of women at high risk for breast cancer, allowing for earlier intervention and potentially saving lives.
How similar studies have gone: While there have been successful applications of machine learning in breast cancer detection, this approach focusing on tissue density is novel and has not been widely tested.
Where this research is happening
-
Waved Medical LLC
Orono, United States Active
Researchers
- Principal investigator: Khalil, Andre — Waved Medical LLC
- Study coordinator: Khalil, Andre
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.