Objective With meta-analytically estimated rates of about 25%, dropout in psychotherapies is
a major concern for individuals, clinicians, and the healthcare system at large. To be able to …

Methods We will compare the performance of different machine learning algorithms in
predicting treatment response, operationalized as a substantial reduction in symptom …

Over the last 10 years, suicide prevention best practices have changed. We have learned
that suicide cannot be reliably predicted, that hospitalizations for acute suicidality are …

Suicide is a major public health concern. Over the past twenty years in the United States, the
suicide rates increased by over 30% in half of the states and increased in all but one state …

Precision medicine holds the potential to revolutionize healthcare by providing every patient
with personalized treatments and decisions tailored to his or her individual needs. This …

Rates of suicidal thoughts and behaviors (STBs) are increasing among youth in the United
States. Younger age at onset for STBs confers higher vulnerability to lifetime mental health …

Background: Suicide is a leading cause of worldwide death. While our knowledge related to
risk factors of suicide has grown over recent decades, our ability to predict and prevent …

BACKGROUND: In recent years, artificial intelligence (AI) technology has been continuously
advancing and finding extensive applications, with one of its core technologies, machine …

Background: Adolescence is characterized by alterations in biobehavioral functioning,
during which individuals are at heightened risk for first onset of psychopathology, particularly …

Detecting voice disorders from voice recordings could allow for frequent, remote, and low-
cost screening before costly clinical visits and a more invasive laryngoscopy examination …