Michael A. Mooney

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.

The paper develops a precision functional brain atlas to capture individual-specific network topography and demonstrates its utility in generating reproducible statistical maps of brain function.

This study shows species-level identification of bladder bacteria is possible using 16S rRNA amplicon sequencing by optimizing reference databases and variable regions.