Digital twins could revolutionize diabetes care for youth
NCT ID NCT07116902
First seen Dec 16, 2025 · Last updated May 15, 2026 · Updated 20 times
Summary
This study aims to create an AI-powered 'digital twin' for 50 young people (ages 10-21) with type 2 diabetes. The digital twin will use each person's health data to predict how their diabetes will progress and how they might respond to treatments. Researchers hope this tool will help identify those at highest risk and motivate healthier behaviors.
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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UCSF Benioff Children's Hospital Oakland, Pediatric Diabetes Clinic
Oakland, California, 94609, United States
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact
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UCSF Benioff Children's Hospital San Francisco, Madison Clinic for Pediatric Diabetes
San Francisco, California, 94158, United States
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact Phone: •••-•••-•••• Email: •••••@•••••
Conditions
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