In this Series paper, we explore the promises and challenges of artificial intelligence (AI)-
based precision medicine tools in mental health care from clinical, ethical, and regulatory …

Advances in computer science and data-analytic methods are driving a new era in mental
health research and application. Artificial intelligence (AI) technologies hold the potential to …

Normative modeling is an emerging and innovative framework for mapping individual
differences at the level of a single subject or observation in relation to a reference model. It …

Major Depressive Disorder (MDD) is a leading cause of disability worldwide, creating a high
medical and socioeconomic burden. There is a growing interest in the biological …

Depression is a heterogeneous and etiologically complex psychiatric syndrome, not a
unitary disease entity, encompassing a broad spectrum of psychopathology arising from …

This article presents a meta-analysis on cognitive (eg, academic performance) and
psychosocial outcomes (eg, self-concept, well-being) among students with general learning …

The evolution of autism diagnosis, from its discovery to its current delineation using
standardized instruments, has been paralleled by a steady increase in its prevalence and …

Functional connectivity (FC), or the statistical interdependence of blood-oxygen dependent
level (BOLD) signals between brain regions using fMRI, has emerged as a widely used tool …

There is increasing knowledge regarding the role of the microbiome in modulating brain and
behaviour. Indeed, the actions of microbial metabolites are key for appropriate gut-brain …

Atypical behavioral responses to environmental sounds are common in autistic children and
adults, with 50–70% of this population exhibiting decreased sound tolerance (DST) at some …