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

NANot yet recruitingINTERVENTIONAL
Enrollment

50

Participants

Timeline

Start Date

August 31, 2025

Primary Completion Date

September 30, 2026

Study Completion Date

September 30, 2026

Conditions
Type 2 Diabetes
Interventions
DEVICE

phone application

Participants in the digital twin arm will receive information on their disease progression which will be based on projected change in HbA1C in alternative realities and specific recommendations on medication dosing and lifestyle changes based on this data. The digital twin information will be presented on an iPad in a game- like manner. The alternate realities will include scenarios of change in medication adherence, physical activity metrics, dietary changes etc.

OTHER

Standard of Care (SOC)

Participants in the control arm will receive standard of care which is medication change recommendations based on HbA1C and blood glucose values every 3 months and standard lifestyle education.

Trial Locations (2)

94158

UCSF Benioff Children's Hospital San Francisco, Madison Clinic for Pediatric Diabetes, San Francisco

94609

UCSF Benioff Children's Hospital Oakland, Pediatric Diabetes Clinic, Oakland

All Listed Sponsors
collaborator

Stanford University

OTHER

collaborator

American Diabetes Association

OTHER

lead

University of California, San Francisco

OTHER