AI-Based Phenome Data Analysis for Predicting the Onset of Major Diseases

Sponsor
Jae Yong Jeon, MD
Study ID
NCT07595718
Status
Recruiting

Conditions

Eligibility Criteria

Sex
ALL
Age
30 Years - 60 Years
Healthy Volunteers
Accepted

Study Details

This study aims to develop and validate an artificial intelligence (AI)-based predictive model to estimate the risk of incident onset of five major diseases or conditions: cardiovascular disease, type 2 diabetes mellitus, breast cancer, low back pain, and osteoarthritis, in adults aged 30 to 60 years. For each participant, an index date will be defined as the date of a prior health screening or another protocol-defined baseline clinical date. Incident disease status for each target disease or condition will be ascertained by retrospective review of electronic medical records for up to 10 years after the index date. The study integrates retrospective clinical, health screening, laboratory, imaging, and electronic medical record data with prospectively collected biospecimen, proteomic, genomic, questionnaire, lifestyle, and digital health data. Prospective study procedures will be completed over approximately 1 week, with up to 2 additional weeks if needed. By combining multimodal data, this study seeks to improve disease risk prediction and to identify clinical and biological factors associated with disease onset, ultimately supporting personalized risk stratification and preventive healthcare strategies.

Key Dates

First listed
May 19, 2026
Start date
Apr 2, 2026
Status verified
May 2026
Primary completion
Oct 31, 2026
Completion
Dec 31, 2026

Study Design

Enrollment
1,000 participants (estimated)

Arms

  • Arm: Disease Group
    Adults aged 30 to 60 years with one or more of the five major diseases. Five major diseases are Cardiovascular Diseases, Diabetes Mellitus, Type 2, Breast Neoplasms, Low Back Pain and Osteoarthritis.
  • Arm: Healthy Control Group
    Adults aged 30 to 60 years without five major diseases.

Primary Outcome Measure

Number of Participants With Incident Target Disease or Condition Identified Up to 10 Years After the Index Date [ Time Frame: Up to 10 years after the index date ]

Central Contacts

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