NPP – Digital Psychiatry and Neuroscience publishes research applying digital technologies and computational approaches to the study, diagnosis, treatment, and prevention of psychiatric disorders. The journal covers artificial intelligence, machine learning, bioinformatics, smart devices, wireless telemetry, and other technologies that enable objective, longitudinal data collection and analysis. It emphasizes translational research using measures applicable across species to improve the predictive value of experimental models and accelerate therapeutic development. Topics include digital biomarkers, cellular mechanisms, therapeutic efficacy, novel treatment targets, and computational methods for understanding psychiatric illness.
Principal Editor: William A. Carlezon, Jr.
Contact: dpnjournal(at)acnp.org