AI Ready and Exploratory Atlas for Diabetes Insights

Enrolling by invitation

Conditions studied: Type 2 Diabetes

In brief

The study will collect a cross-sectional dataset of 4000 people across the US from diverse racial/ethnic groups who are either 1) healthy, or 2) belong in one of the three stages of diabetes severity (pre-diabetes/diet controlled, oral medication and/or non-insulin-injectable medication controlled, or insulin dependent), forming a total of four groups of patients. Clinical data (social determinants of health surveys, continuous glucose monitoring data, biomarkers, genetic data, retinal imaging, cognitive testing, etc.) will be collected. The purpose of this project is data generation to allow future creation of artificial intelligence/machine learning (AI/ML) algorithms aimed at defining disease trajectories and underlying genetic links in different racial/ethnic cohorts. A smaller subgroup of participants will be invited to come for a follow-up visit in year 4 of the project (longitudinal arm of the study). Data will be placed in an open-source repository and samples will be sent to the study sample repository and used for future research.

Key facts

Study ID

NCT06002048

Run by

University of Washington

People needed

4000

Starts

2023-07-19

Expected to finish

2027-01-01

Last updated by the study team

2025-04-06

Who can join

Age: 40 and older, up to 85. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Adults (≥ 40 years old)
• Patients with and without type 2 diabetes
• Able to provide consent
• Must be able to read and speak English

You may not qualify if…

• Adults older than 85 years of age
• Pregnancy
• Gestational diabetes
• Type 1 diabetes

Where it is running

• University of Alabama, Birmingham — Birmingham, Alabama, United States
• UC San Diego — San Diego, California, United States
• University of Washington — Seattle, Washington, United States

Full record on ClinicalTrials.gov

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