Artificial Intelligence-based Methods to Predict Disease Progression in Youth With Type 2 Diabetes
Artificial Intelligence-based Methods to Predict Disease Progression in Youth With Type 2 Diabetes
Not yet recruiting · NCT07116902 · Registry updated 2025-12-04Clinical trials
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| Trial | Conditions | Status | Phase | Updated | More info | NCT ID |
|---|---|---|---|---|---|---|
| Artificial Intelligence-based Methods to Predict Disease Progression in Youth With Type 2 Diabetes | Nutritional and Metabolic Diseases, diabetes mellitus, endocrine system disorder, glucose metabolism disease, metabolic disease, type 2 diabetes mellitus | Not yet recruiting | Not applicable | 2025-12-04 | NCT07116902 |
3 results · Page 1 of 1
Organizations
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| Organizations | Linked trials |
|---|---|
| American Diabetes Association | 34 |
| Stanford University | 620 |
| University of California, San Francisco | 637 |
2 results · Page 1 of 1
Research sites
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| Research sites | City | Country | Linked trials |
|---|---|---|---|
| UCSF Benioff Children's Hospital Oakland, Pediatric Diabetes Clinic | Oakland | United States | 2 |
| UCSF Benioff Children's Hospital San Francisco, Madison Clinic for Pediatric Diabetes | San Francisco | United States | 2 |