OpportunityTitle: New Generation of Glucose Control Technologies Incorporating AI/ML Tools/Strategies
AdditionalInformationOnEligibility: Indian/Native American Tribal Governments (Other than Federally Recognized); Eligible Agencies of the Federal Government; U.S. Territory or Possession;  Faith-based or Community-based Organizations; Regional Organizations Non-domestic (non-U.S.) Entities (Foreign Institutions)
Description: The NIDDK, intends to publish a Notice of Funding Opportunity (NOFO) to solicit applications for research to overcome 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. Applications are not being solicited at this time. Notice is being provided to allow potential applicants sufficient time to develop meaningful collaborations and responsive projects. This NOFO will utilize the R01-research project grant activity code. Investigators with expertise and insights into this area of science and technology development are encouraged to begin to consider applying for this new NOFO. In addition, collaborative investigations combining expertise in endocrine physiology, behavioral science and interventions, data science, artificial intelligence, machine learning and smart/adaptable algorithms, digital twins, decision support systems, precision and personalized medicine, design of mobile/ wearable devices sensing multiple analytes, hormone formulation and delivery by closed loop systems, in silico modeling, preclinical and clinical testing will be encouraged and these investigators should also begin considering applying for this application.
GrantorContactEmailDescription: ga96b@nih.gov