Digital twins could help teens outsmart type 2 diabetes
NCT ID NCT07116902
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study will test whether an AI-powered 'digital twin' can accurately predict how type 2 diabetes progresses in young people aged 10-21. Researchers will create a virtual model of each participant using their health data, then compare predicted changes in blood sugar (HbA1C) to real results over one year. Half of the 50 participants will see their digital twin and get personalized lifestyle and medication recommendations, while the other half receives standard care. The goal is to see if this approach helps youth better manage their diabetes and avoid complications.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
phone application
What this could lead to
If successful, this could lead to a personalized AI tool that helps youth with type 2 diabetes better manage their condition and slow disease progression.
What could go wrong
This is a small early-stage study with only 50 participants, so results may not apply to everyone. The digital twin predictions may not be accurate enough to change outcomes.
Disclaimer
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This is a summary of
the original study
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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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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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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: •••••@•••••