Summary

Eligibility
for people ages 40-85 (full criteria)
Location
at UCSD
Dates
study started
study ends around

Description

Summary

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.

Details

Keywords

Type 2 Diabetes, Machine Learning, Retinal Imaging, Data Sharing, Equitable Data Collection, Diabetes Mellitus, Type 2 Diabetes Mellitus, Pre-diabetes/Diet Controlled, Insulin Dependent

Eligibility

Locations

  • UC San Diego
    San Diego California 92093 United States
  • University of Washington
    Seattle Washington 98109 United States
  • University of Alabama, Birmingham
    Birmingham Alabama 35233 United States

Details

Status
accepting new patients by invitation only
Start Date
Completion Date
(estimated)
Sponsor
University of Washington
ID
NCT06002048
Study Type
Observational
Participants
Expecting 4000 study participants
Last Updated