Clin2
NCT06791486Possibly a fitRecruiting

AI predicts biological age from health records

Biological Age

This study uses artificial intelligence to estimate your 'biological age'—how well your body is aging compared to your actual age—by analyzing your electronic health records. The goal is to see if AI can spot aging patterns that might help personalize your care.

Summary written for real people, not researchers, by Clin2.

Phase
N/A
Enrollment
1,000,000 people
Ages
birth to 100 years
Study type
Observational

Who can take part

  • You have complete electronic health records including your medical history, lab results, treatments, and lifestyle details like smoking or exercise.
  • You can understand the study and give your permission to use your medical data for research.
  • You do not have severe memory or thinking problems (like dementia) that would make it hard to participate.
  • You do not have a terminal illness or very short life expectancy that would make the results less useful.

View the official record on ClinicalTrials.gov

Quick eligibility check

Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.

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