Abstract Treatment outcomes for major depressive disorder (MDD) need to be improved.
Presently, no clinically relevant tools have been established for stratifying subgroups or …

Background No previous study has comprehensively reviewed the application of machine
learning algorithms in mood disorders populations. Herein, we qualitatively and …

For many years, psychiatrists have tried to understand factors involved in response to
medications or psychotherapies, in order to personalize their treatment choices. There is …

Brain-derived neurotrophic factor (BDNF) is a neurotrophin that modulates neuroplasticity in
the brain, and is one of the most widely investigated molecule in psychiatric disorders. The …

In the wake of recent advances in scientific research, personalized medicine using deep
learning techniques represents a new paradigm. In this work, our goal was to establish deep …

Objectives: The overview outlines two decades of research from the European Group for the
Study of Resistant Depression (GSRD) that fundamentally impacted evidence-based …

A growing body of evidence now suggests that precision psychiatry, an interdisciplinary field
of psychiatry, precision medicine, and pharmacogenomics, serves as an indispensable …

Precision medicine is increasingly recognized as a promising approach to improve disease
treatment, taking into consideration the individual clinical and biological characteristics …

Background Mood disorders are characterized by heterogeneity in severity, symptoms and
treatment response. The possibility of selecting the correct therapy on the basis of patient …

Objective: Clinical trials demonstrated that ketamine exhibits rapid antidepressant efficacy
when administered in subanaesthetic dosages. We reviewed currently available literature …