The Gray Foundation has announced $35 million in new funding over three years to support advanced research focused on preventing, detecting, and treating BRCA-related cancers. The funding will support 16 research teams working on innovative approaches to improve outcomes for individuals affected by BRCA mutations.
The grants are part of the foundation’s ongoing Team Science program, which promotes collaboration among researchers across different fields to address major challenges in BRCA-associated cancer research. With this latest investment, the foundation’s total support for BRCA research has exceeded $235 million.
The selected research teams will explore new methods for cancer prevention and early detection by using emerging technologies such as artificial intelligence, machine learning, and advanced data analysis. Researchers will study early biological changes linked to cancer development and identify potential warning signs before disease progression.
Several projects will focus on using AI to analyze medical imaging and blood sample data to detect early indicators of cancer. Other research initiatives will examine pre-cancerous cells, tumor environments, and molecular changes that may help scientists develop better prevention strategies.
The funded teams include researchers from leading institutions across the United States and internationally. Their work will contribute to expanding knowledge of BRCA mutations and improving tools for identifying individuals at higher risk.
The Gray Foundation emphasized that collaboration and technology-driven research are essential to accelerating progress against BRCA-associated cancers. The foundation continues to support scientific innovation with the goal of creating better prevention methods, earlier diagnosis, and improved treatment options for affected families.
Founded by Mindy and Jon Gray, the Gray Foundation focuses on advancing BRCA research, improving cancer care, and supporting communities through investments in healthcare, education, and opportunity.






