Multimodal AI to Accelerate Precision Medicine for Type 1 Diabetes (U01- Clinical Trials Not Allowed)
Forecasted
This grant funds the development of advanced AI tools to integrate diverse datasets and accelerate precision medicine research for understanding, preventing, and treating Type 1 diabetes.
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Funder: National Institutes of Health
Due Dates (Anticipated): February 2027 (Full application deadline, projected)
Funding Amounts: Estimated total program funding: $5,000,000; 1 anticipated award; project period and award size not yet specified.
Summary: Supports a milestone-driven, cooperative research project to use multimodal AI and integrated datasets to accelerate precision medicine and fundamental discovery in type 1 diabetes.
Key Information: This is a forecasted opportunity; all dates and details are projected and subject to change.
Description
This funding opportunity, issued by the National Institutes of Health (NIH) through the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), will support a coordinated, milestone-driven research project focused on type 1 diabetes (T1D). The goal is to leverage recent advances in artificial intelligence (AI) to integrate and analyze large, multimodal datasets from human pancreas and clinical studies, collected by major T1D research consortia. By combining these complementary datasets, the project aims to generate new insights into T1D biology, understand disease heterogeneity and progression, identify biomarkers, and inform new approaches for prevention, intervention, and treatment. Key aims include the development and testing of advanced multimodal AI models, new data integration methods, AI-enabled research workflows, and privacy-preserving synthetic datasets. Clinical trials are not allowed under this opportunity.
