Muhammad A. Parvaz

The paper analyzes longitudinal blood transcriptomics in cocaine use disorder to identify gene co-expression networks and transcript associations linked to abstinence and relapse behaviors.

This paper shows that speech analysis using natural language processing can predict long-term cocaine use outcomes better than traditional measures in initially abstinent individuals with cocaine use disorder.