There is strong interest in developing a more efficient mental health care system. Digital
interventions and predictive models of treatment prognosis will likely play an important role …

In the modern history of psychotherapy, understanding the individual patient and how to
optimize treatment for each individual has been an important challenge. For the therapist …

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 …

This conceptual paper describes the current state of mental health services, identifies critical
problems, and suggests how to solve them. I focus on the potential contributions of artificial …

Continuous and effective monitoring of chronic diseases and their associated treatments
might have a decisive impact on reducing risks and improving life quality of patients. This …

Objective: Depression is a highly common mental disorder and a major cause of disability
worldwide. Several psychological interventions are available, but there is a lack of evidence …

Personalization of psychological therapies has always been used by clinicians and
describes all efforts to select, adjust, or modify a treatment for the individual to improve …

The individual differences among children with autism spectrum disorder (ASD) may make it
challenging to achieve comparable benefits from a specific exercise intervention program. A …

Precision medicine methods (machine learning; ML) can identify which clients with
generalized anxiety disorder (GAD) benefit from mindfulness ecological momentary …

Depression has become a widespread health concern today. Understanding the influencing
factors can promote human mental health as well as provide a basis for exploring preventive …