Epigenetics and NCD Prevention in Kazakhstan: Personalized Approaches and Biological Age Prediction

Epigenetics and Prevention of Non-communicable Diseases in Kazakhstan: a Personalized Approach and Biological Age Prediction

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.

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.