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Digital twins could help teens outsmart type 2 diabetes

NCT ID NCT07116902

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting This study
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

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.

Study facts

What this study's own registry entry says, in plain language.

Phase

Not a phased trial

Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.

Participants

About 50 people

The number the study aims to enrol. It can still change while the study runs.

Expected to start

Apr 2026

An estimate. Start dates often move.

Expected to finish

Sep 2026

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Ages

10 to 21 years

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Age 10- 21 years * Diagnosis of T2D based on clinical diagnosis or ICD 9 and 10 codes * Duration of T2D ≥ 3 months * HbA1C ≥ 7% which is the target HbA1C recommended by the American Diabetes Association * Stable medication regimen (No medication changes and no change in basal insulin dose by more than 20% in the 2 weeks prior to enrollment) * Ability to wear CGM for a total of 6 weeks while in the study. * English or Spanish speakers. * Willing to abide by recommendations and study procedures. * Willing and able to sign the Informed Consent Form (ICF) and/or has a parent or guardian willing and able to sign the ICF. Exclusion Criteria: * Pancreatic autoantibody positivity (GAD-65, insulin, IA-2, ICA 512, ZnT8). * Plan for undergoing bariatric surgery during the study period * Anticipated use of systemic glucocorticoids during the study period * Unable to stop taking more than 500mg/day of Vitamin C during the study period as this may affect the sensor readings. * Presence of a condition or abnormality that in the opinion of the Investigator would compromise the safety of the patient or the quality of the data. * Presence of a condition or abnormality that in the opinion of the Investigator would cause repeated hospitalizations or significant changes in medications.

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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.

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    2 sites. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

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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