Plain-English translation of NCT06953180 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Researchers want to understand how our genes influence the risk of heart disease, diabetes, breathing problems, and kidney disease. By studying genetic patterns and using artificial intelligence, they aim to predict each person's biological age and create personalized recommendations to help prevent these serious illnesses before they develop.
Many people develop serious chronic diseases that could be prevented or caught early. This study exists to find better, more personalized ways to predict who is at risk and help people stay healthier longer by understanding their unique genetic profile.
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You would visit a research site to have a blood sample taken and complete health measurements and assessments. Researchers will analyze your genetic information and health data using computer programs to predict your biological age and health risks. You'll then receive personalized recommendations to help you prevent or manage disease risk. The study is organized by age groups to ensure they understand health patterns across different life stages.
AI-generated summary from trial data · Jun 16, 2026 · Not medical advice
Kazakhstan
Enrollment target
~6,720 participants
Started
March 2025
Primary completion
January 2026
This trial's estimated completion date has passed — the record may not be fully up to date.
Age range
18 Years – 69 Years
Last updated on clinicaltrials.gov in July 2025.
Reach out to the team running this trial. Response times vary — some teams are faster than others.
Central contact
Ildar Fakhradiyev, Ph.D
Asfendiyarov Kazakh National Medical University
Tell us you're interested and we'll help connect you with the research team. We'll walk you through what to expect first — no email needed to get started.