Single Source for Establishing Pilot/Opportunity program for AI Models to Accelerate Diabe
Diabetes has become a major public health challenge due to its high prevalence and chronic nature, with many individuals managing the condition for decades. One major challenge in diabetes is the enormous heterogeneity associated with the disease, which necessitates personalized approaches to its prevention, diagnosis,
| Agency | National Institutes of Health |
|---|---|
| Status | Forecasted |
| Opportunity number | RFA-DK-26-314 |
| Posted date | 09/25/2025 |
| Who can apply | NIDDK requests a Single Source competition for the Pilot/Opportunity program at the University of California, San Diego for AI Models to Accelerate Diabetes Research to the dkNET. |
| Assistance Listing (CFDA) | 93.847 |
| Description | Diabetes has become a major public health challenge due to its high prevalence and chronic nature, with many individuals managing the condition for decades. One major challenge in diabetes is the enormous heterogeneity associated with the disease, which necessitates personalized approaches to its prevention, diagnosis, treatment, and prognosis. To address this, the research field has generated a large amount of complex data, and has accumulated vast prior knowledge about the disease. These data and prior knowledge contain critical, but mostly hidden, information relevant to solving this challenge. However, major hurdles exist in integrating them and extracting predictive signals, including a lack of data science expertise in the diabetes research field and the absence of diabetes-specific |
| Agency contact | xujing.wang@nih.gov |
| Official listing | https://www.grants.gov/search-results-detail/360657 |