# Artificial Intelligence-based Methods to Predict Disease Progression in Youth With Type 2 Diabetes

> **NCT07116902** · NA · NOT_YET_RECRUITING · sponsor: **University of California, San Francisco** · enrollment: 50 (estimated)

## Conditions studied

- Type 2 Diabetes

## Interventions

- **DEVICE:** phone application
- **OTHER:** Standard of Care (SOC)

## Key facts

- **NCT ID:** NCT07116902
- **Lead sponsor:** University of California, San Francisco
- **Sponsor class:** OTHER
- **Phase:** NA
- **Study type:** INTERVENTIONAL
- **Status:** NOT_YET_RECRUITING
- **Start date:** 2026-04
- **Primary completion:** 2026-09
- **Final completion:** 2026-09
- **Target enrollment:** 50 (ESTIMATED)
- **Last updated:** 2025-12-04

## Collaborators

- [object Object]
- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07116902

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07116902, "Artificial Intelligence-based Methods to Predict Disease Progression in Youth With Type 2 Diabetes". Retrieved via AI Analytics 2026-07-07 from https://api.ai-analytics.org/clinical/NCT07116902. Licensed CC0.

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*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*