Elana K. Schwartz

TL;DR: Large-scale genetic studies provide a wealth of information of direct clinical relevance and integration with other types of -omics data will be essential to elucidating biological mechanisms, identification of novel drugs, and translation of findings into the clinic.

TL;DR: It is suggested that vocal expression fails to modulate across changing affective states in individuals with active SMI symptoms, this lack of modulation may be commonly associated with many SMI Symptoms, and vocal analysis can accommodate temporal dynamics.

TL;DR: This article documents and evaluates the lack of convergence between clinical ratings and biobehavioral data, and explains this divergence in terms of "resolution" - a critical psychometric property in biomedical, engineering, and computational sciences defined as precision in distinguishing various aspects of a signal.

TL;DR: Vocal and facial features showed statistically significant convergence with a "gold standard" negative symptom measure and were more strongly associated with engagement in social or work activities in patients than negative symptom ratings, which support the use of ambulatory vocal/facial analytic technologies for digital phenotyping of these negative symptoms.

TL;DR: The findings confirmed the diagnostic bias between African Americans and White individuals though there were no differences on clinician symptom ratings and Moderation analysis suggests that behaviorally based measures impact the relationship between race and diagnosis; however, this was largely unsupported for race and clinical symptom ratings.