The world's population is aging, bringing about an ever‐greater burden of mental disorders
in older adults. Given multimorbidities, the mental health care of these people and their …

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 …

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 …

Estimating treatment effects is one of the most challenging and important tasks of data
analysts. Personalized medicine, digital marketing, and many other applications demand an …

When data are available from individual patients receiving either a treatment or a control
intervention in a randomized trial, various statistical and machine learning methods can be …

INTRODUCTION: The pharmacological treatment of Major Depressive Disorder (MDD)
relies on a trial-and-error approach. We introduce an artificial intelligence (AI) model aiming …

Background To promote shared digital health best practices in a global context, as agreed
within the Global Digital Health Partnership (GDHP), one of the most important topics to …

Background Depression affects one in nine people, but treatment response rates remain
low. There is significant potential in the use of computational modelling techniques to predict …

Objective: Numerous behavioral treatments for alcohol use disorder (AUD) are effective, but
there are substantial individual differences in treatment response. This study examines the …

Precision medicine applies machine learning methods to estimate the personalized optimal
treatment decision based on individual information, such as genetic data and medical …