Peter Ryabinin

Across 15 cohorts (birth to 24 years), 20 epigenetic clocks and eight brain age models predicted chronological age modestly, stabilizing by middle childhood; their age residuals were weakly associated.

This study develops an explainable deep learning model to predict ADHD using genetic, environmental, cognitive, and temperament data, finding that temperament features significantly improve classification performance.