This research shows that genetic risk scores alone are insufficient for predicting chronic disease. By incorporating social and environmental factors using machine learning, disease prediction improves substantially, especially for disadvantaged populations. Integrating genetic and social risk is essential for equitable, effective personalized medicine.

This research examines whether reducing food insecurity increases physical activity among adults with high blood pressure. Using clinical trial data and interviews, it finds that coaching, physical function, and food access shape activity levels. Addressing food insecurity and physical activity together is essential for promoting equitable, heart-healthy lifestyles.

Community health workers help marginalized communities navigate complex health systems but face burnout, low pay, and limited recognition. Through interviews across Colorado, this research reveals how systemic inequities affect CHWs and offers worker-driven recommendations to strengthen programs, policies, and workforce sustainability.