Personalization is a much-discussed approach to improve adherence and outcomes for
Digital Mental Health interventions (DMHIs). Yet, major questions remain open, such as 1) …

Although psychological treatments are broadly recognized as evidence-based interventions
for various mental disorders, challenges remain. For example, a substantial proportion of …

Machine‐learning prediction studies have shown potential to inform treatment stratification,
but recent efforts to predict psychotherapy outcomes with clinical routine data have only …

This review article is an overview of the effectiveness of internet-based cognitive behavioral
therapy (iCBT) in Improving Psychological State in Cancer Patients. iCBT's effectiveness has …

Mapping brain-behaviour associations is paramount to understand and treat psychiatric
disorders. Standard approaches involve investigating the association between one brain …

Predicting treatment outcome in internalizing mental disorders prior to treatment initiation is
pivotal for precision mental healthcare. In this regard, resting-state functional connectivity (rs …

Chat-based counseling hotlines emerged as a promising low-threshold intervention for
youth mental health. However, despite the resulting availability of large text corpora, little …

Neuroanatomical findings on youth anxiety disorders are notoriously difficult to replicate,
small in effect size and have limited clinical relevance. These concerns have prompted a …

Suicidal behavior and non-suicidal self-injury (NSSI) are common in adolescent patients
with major depressive disorder (MDD). Thus, delineating the unique characteristics of …

Data-based predictions of individual Cognitive Behavioral Therapy (CBT) treatment
response are a fundamental step towards precision medicine. Past studies demonstrated …