Overview
This study aims to enhance personalized and preventive care for non-communicable diseases (NCDs) in Kazakhstan by examining epigenetic factors, predicting biological age and reproductive function using machine learning, and developing health improvement recommendations.
Eligibility
Inclusion Criteria:
- Adults aged 18 to 69 years.
- Residents of 17 regions of Kazakhstan.
- Willingness to participate and provide informed consent.
Exclusion Criteria:
- Age less than 18 years old or over 69 years old.
- Failure to provide informed consent or incomplete participation in data collection procedures.