The field of psychiatry is hampered by a lack of robust, reliable and valid biomarkers that can
aid in objectively diagnosing patients and providing individualized treatment …

Events in fetal life impact long-term health outcomes. The placenta is the first organ to form
and is the site of juxtaposition between the maternal and fetal circulations. Most diseases of …

Major depressive disorder (MDD) affects millions of people worldwide and is a leading
cause of disability. Several theories have been proposed to explain its pathological …

Depression and anxiety are highly prevalent and comorbid psychiatric traits that cause
considerable burden worldwide. Here we use factor analysis and genomic structural …

Background Psychological therapies are effective for treating major depressive disorder, but
current clinical guidelines do not provide guidance on the personalization of treatment …

Anxiety disorders are among the most common psychiatric disorders worldwide. They often
onset early in life, with symptoms and consequences that can persist for decades. This …

Written by two leading experts in the field, this welcome third edition of Children in Difficulty:
A guide to understanding and helping discusses some of the most common, yet …

This study applied supervised machine learning with multi-modal data to predict remission
of major depressive disorder (MDD) after psychotherapy. Genotyped adult patients (n= 894 …

Abstract Machine learning (ML) may help to predict successful psychotherapy outcomes and
to identify relevant predictors of success. So far, ML applications are scant in psychotherapy …

Purpose Depression and anxiety afflict millions worldwide causing considerable disability.
MULTI-PSYCH is a longitudinal cohort of genotyped and phenotyped individuals with …