Abstract Machine learning is increasingly used in mental health research and has the
potential to advance our understanding of how to characterize, predict, and treat mental …

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 …

How important is the timing of the pretreatment evaluation? If we consider mental health to
be a relatively fixed condition, the specific timing (eg, day, hour) of the evaluation is …

Assessment of defense mechanisms has a longstanding history within the clinical
psychology and psychopathology literature. Despite their centrality to clinical practice, there …

Objective: Optimizing treatment selection may improve treatment outcomes in depression. A
promising approach is the Personalized Advantage Index (PAI), which predicts the optimal …

Improving response and remission rates in major depressive disorder (MDD) remains an
important challenge. Matching patients to the treatment they will most likely respond to …

Cognitive-behavioral therapies (CBTs) are the most widely studied form of psychotherapy for
disorders like depression and anxiety. Nonetheless, there is heterogeneity in response to …

Many real-world systems can exhibit tip** points and multiple stable states, creating the
potential for sudden and difficult to reverse transitions into a less desirable regime. The …

Measurement in acceptance and commitment therapy (ACT) should prioritize theoretically
relevant outcomes (well-being, values-consistent action) and hypothesized processes of …