Outcome measurement in the field of psychotherapy has developed considerably in the last
decade. This review discusses key issues related to outcome measurement, modeling, and …

Mental health researchers and clinicians have long sought answers to the question “What
works for whom?” The goal of precision medicine is to provide evidence-based answers to …

This chapter sets out the current status of the evidence-base for the efficacy and
effectiveness of psychological therapies. First, methods for eliciting and synthesizing …

Objective: Thus far, most applications in precision mental health have not been evaluated
prospectively. This article presents the results of a prospective randomized-controlled trial …

In this study, a computer-based feedback, decision and clinical problem-solving system for
clinical practice will be described-the Trier Treatment Navigator (TTN). The paper deals with …

Highlights•The combination of data-driven machine learning and theory-driven
computational models holds great promise for psychiatry.•Machine-learning analyses of …

In this conceptual paper, we outline the many challenges on the road to personalized
psychotherapy, using the example of cognitive behavior therapy (CBT) for depression. To …

Investigating the mechanisms through which psychotherapy brings about desired change
can inform efforts to improve therapies. We applied meta-analytic structural equation …

Clinical trials have documented numerous clinical features, social characteristics, and
biomarkers that are “prescriptive” predictors of depression treatment response, that is …

BackgroundMajor depressive disorder (MDD) is a highly heterogeneous condition in terms
of symptom presentation and, likely, underlying pathophysiology. Accordingly, it is possible …