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New Generation of Type 1 Diabetes Control Technologies Incorporating Artificial Intelligence/Machine Learning Tools/Strategies

June 2025 Council

Lead Division/Office

DEM

Point(s) of Contact

Guillermo Arreaza-Rubín, M.D.

Executive Summary

The purpose of this proposal is to support research addressing barriers that limit progress toward more effective open- and closed-loop diabetes control systems. This may include research that addresses: 1) innovation of sensing relevant analytes/physiologic signals; 2) novel formulation and delivery of hormones; 3) artificial intelligence (AI)/machine learning (ML)-driven tools/algorithms; and 4) digital twin modeling to augment decision support and automated control systems with the goal of improving glycemic control, reducing burden of care, and enhancing quality of life of people with T1D.