Simpler Grants.gov #RFA-DK-27-146

NIH Grant for AI/ML-Driven Diabetes Control Technology Research

This opportunity from the National Institutes of Health (NIH) seeks research proposals to advance diabetes management technologies: - Government Buyer: - National Institutes of Health (NIH), Division of Diabetes, Endocrinology and Metabolic Diseases - Products/Services Requested: - Research on open- and closed-loop diabetes control systems - Focus areas include: - Novel sensing of analytes and physiologic signals - Hormone formulation and delivery - Artificial intelligence (AI) and machine learning (ML) tools and algorithms - Digital twin modeling for decision support and automated control - Unique/Notable Requirements: - Emphasis on innovative, AI/ML-driven solutions for glycemic control - Aims to improve quality of life for individuals with type 1 diabetes - Open to a wide range of applicants: government, business, nonprofit, educational, and international organizations - No specific OEMs or vendors are named, as this is a research grant - No cost sharing or matching required - Total funding available: $3,000,000; minimum award: $500,000 - Place of Performance: - National Institutes of Health (NIH)

Description

This funding opportunity supports research to overcome barriers in developing more effective open- and closed-loop diabetes control systems. Research areas include innovation in sensing analytes and physiologic signals, novel hormone formulation and delivery, AI/ML-driven tools and algorithms, and digital twin modeling for decision support and automated control. The goal is to improve glycemic control, reduce care burden, and enhance quality of life for people with type 1 diabetes. The opportunity is associated with the Special Diabetes Program, which funds research on prevention, treatment, and cure of type 1 diabetes and its complications.

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