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.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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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

Locations

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

    Oakland, California, 94609, United States

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

    San Francisco, California, 94158, United States

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