Multi-omic modeling of antidepressant response implicates dynamic immune and inflammatory changes in individuals who respond to treatment
Shih-Chieh Fuh, Laura M. Fiori, Gustavo Turecki, Corina Nagy, Yue Li
This study develops a machine learning tool to integrate multi-omic data and identify biomarkers for antidepressant response, finding dynamic immune and inflammatory changes are associated with treatment success.
PLoS ONE · May 15, 2023Peer-reviewedBioinformatics