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NCT07116902 · ClinicalTrials.gov registry record · NA
Artificial Intelligence-based Methods to Predict Disease Progression in Youth With Type 2 Diabetes
A NA study, sponsored by University of California, San Francisco.
- Not yet
- Registry status
- NA
- Development phase
- 50
- Enrollment target
NCT07116902 is a NA study that has not yet begun recruiting, run by University of California, San Francisco. The registered enrollment target is 50 participants.
The verdict
NCT07116902, a NA study, has not yet begun recruiting, sponsored by University of California, San Francisco.
- NOT YET RECRUITING
- Registry status
- NA
- Development phase
- 50 participants
- Enrollment target
Study Summary
Currently, clinicians are unable to predict a patient's risk of long-term disease progression and development of a long-term complication based on the data that is available to them. The first aim of this is to develop and validate an Artificial Intelligence (AI) powered prediction model for Type 2 Diabetes (T2D) disease progression using existing data from previously collected studies and real-world electronic health medical data. Investigators will use clinical, pharmacologic, and genomic factors to develop the prediction model based on the most relevant clinical outcomes of change in Hemoglobin A1c (HbA1c) and the development of a microvascular complication. Despite the availability of newer medication options, lifestyle intervention is not effective in most youth and current therapeutic options are ineffective at producing sustained glycemic control. Newer and innovative methods are needed to identify the youth at highest risk of progression in terms of increase in HbA1c and development of long-term complications and to motivate behavioral change in youth. The goal of this aim is to create an AI-powered digital twin model for 50 youth with T2D using their baseline clinical, genetic, pharmacologic and lifestyle data and utilize AI algorithms developed in Aim 1 to simulate disease progression and treatment response. Investigators will then evaluate the digital twin model in an randomized controlled trail and prospectively compare the generated digital twin data to observed values over one year. Investigators will also measure whether knowledge of the digital twin prediction with targeted healthcare recommendations influence medication and lifestyle change adherence in the digital twin arm (n= 25) compared to the control arm (n= 25).
Interventions
- OTHER Standard of Care (SOC)
- DEVICE phone application
Trial Details
| Field | Value |
|---|---|
| Enrollment Target | 50 participants |
| Start Date | 2026-04 |
| Est. Completion | 2026-09 |
| Phase | NA |
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Full Details on ClinicalTrials.gov ↗What the Registry Record Tells You About NCT07116902
The ClinicalTrials.gov registry entry for NCT07116902 describes a study currently listed as not yet recruiting, categorized as NA. The registered enrollment target is 50 participants, a figure that helps gauge the scale of data the investigators plan to collect. The listed sponsor is University of California, San Francisco, which has 1,713 total studies on file at ClinicalTrials.gov.
The record links to 0 conditions, and to 2 interventions - of which Standard of Care (SOC) is the first listed.
NCT07116902 reports 0 study locations.
Frequently Asked Questions
What is clinical trial NCT07116902 about?
NCT07116902 is a clinical study titled "Artificial Intelligence-based Methods to Predict Disease Progression in Youth With Type 2 Diabetes". Currently, clinicians are unable to predict a patient's risk of long-term disease progression and development of a long-term complication based on the data that is available to them. The first aim of this is to develop and validate an Artificial Intelligence (AI) powered prediction model for Type 2 ...
What is the current status of trial NCT07116902?
This trial is currently not yet recruiting. It is a NA study. The enrollment target is 50 participants. The study started on 2026-04. Estimated completion is 2026-09.
What interventions are being tested in trial NCT07116902?
The interventions under investigation include: Standard of Care (SOC) (OTHER), phone application (DEVICE).
Who is sponsoring clinical trial NCT07116902?
This trial is sponsored by University of California, San Francisco, which has 1,713 total clinical trials registered on ClinicalTrials.gov.
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