Tiziano Colibazzi

The paper uses multimodal machine learning to predict psychosis conversion and finds that integrating multiple data types improves prediction accuracy.

This study examines brain morphometric deviations in individuals at clinical high-risk for psychosis and finds they largely overlap with healthy variation and are not strongly associated with symptom severity or conversion to psychosis.