Precision Prevention & Risk Stratification
Precision Prevention & Risk Stratification focuses on identifying health risks and developing preventive approaches based on individual and population characteristics. The session explores the use of genetic, clinical, behavioral, environmental, and socioeconomic information to understand differences in disease susceptibility. Advanced analytics, artificial intelligence, digital biomarkers, and multi-omics approaches can support risk assessment for conditions such as cardiovascular disease, diabetes, cancer, and other chronic illnesses. Integration of electronic health records, wearable technologies, and population-level data can further improve risk prediction and preventive planning. Special attention will also be given to the role of data-driven prevention in improving healthcare efficiency and addressing health disparities. Precision prevention provides opportunities to move from generalized health programs toward more targeted strategies that reflect the needs and risk profiles of different populations
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