Bridge2AI Network for AI Health Science
Forecasted
NIH plans to fund 3-5 multidisciplinary Centers to advance trustworthy, explainable AI in biomedical and behavioral research, building on large AI-ready datasets from the Bridge2AI program.
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Funder: National Institutes of Health
Due Dates (Anticipated): March 2027 (Full application deadline, projected)
Funding Amounts: $1,000,000–$7,000,000 per award; up to $7,000,000 total program funding; 3–5 awards expected
Summary: Supports multidisciplinary centers to advance trustworthy, reproducible, and explainable AI in biomedical and behavioral research using AI-ready datasets from the Bridge2AI program.
Key Information: This is a forecasted opportunity; all dates and details are subject to change.
Description
This anticipated funding opportunity from the NIH Common Fund will support the next stage of the Bridge2AI program, focusing on establishing a network of multidisciplinary centers (U24 cooperative agreements) dedicated to advancing the science of artificial intelligence (AI) in health and biomedical research. The program aims to leverage large-scale, AI-ready datasets developed in Stage 1 to address grand challenges in biomedical and behavioral research, accelerate new biological discoveries, and deepen understanding of health and disease mechanisms. Centers will develop frameworks, best practices, and evaluation metrics for trustworthy, reproducible, and explainable AI, support pilot research, convene expert panels, and offer cross-disciplinary training to strengthen the biomedical AI workforce.
