Clinical trial

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

Recruiting now · Not applicable · 1 countries · Registry ID NCT06953180

Recruiting nowNot applicableObservational

What this study is about

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.

A promising-looking record is not the same as confirmed eligibility. The study team must review the full criteria and current recruitment status.

Basic eligibility

Age18 Years to 69 Years

SexAll

Healthy volunteersAccepted

ConditionCardiovascular Diseases (CVD), Type 2 Diabetes, Chronic Respiratory Diseases, Obesity (Disorder), Chronic Kidney Diseases

Full registry criteria

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.

Treatments and study arms

Genetic: DNA analysis

Other

Investigation of telomere length (TL) and DNA methylation level analysis

Primary outcomes

Accuracy of Machine Learning Model for Predicting Biological AgeWithin 10 months from start of data collection

Evaluation of the model's performance (based on telomere length and DNA methylation) using Mean Absolute Error (MAE), Mean Squared Error (MSE), and R².

Accuracy of Reproductive Function Prediction ModelWithin 10 months from start of data collection

Development and validation of machine learning model to predict reproductive function using biomarkers. Model performance evaluated via MAE, MSE, and R².

Study locations

1 locations were listed when this page was built. The first 40 are shown.

Asfendiyarov Kazakh National Medical University🌐 Almaty, Kazakhstan, Kazakhstan

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Ildar Fakhradiyev, PhDContact

Email · Call +7 (727) 338 7090

Ildar Fakhradiyev, PhDPrincipal Investigator