Multimodal AI to Accelerate Precision Medicine for Type 1 Diabetes
Funds a single milestone-driven project combining multiple existing Type 1 diabetes datasets with multimodal AI models.
Type 1 diabetes research is not short of data. Over two decades, NIDDK has funded major consortia that each built large, standardised datasets covering different organs, disease stages or clinical outcomes — but each consortium answers its own slice of the question, and no one has combined them.
This funds one coordinated, milestone-driven project to combine those multimodal human pancreas and cl…
A single milestone-driven cooperative agreement combining existing multimodal human pancreas and clinical Type 1 diabetes datasets with newly built multimodal AI models, AI-enabled research workflows, data-integration methods and privacy-preserving synthetic datasets, to study how biological processes interact as the disease develops and identify biomarkers and new treatment leads.
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