Michael L. Birnbaum

TL;DR: The authors present consensus guidelines that operationalize criteria for determining and reporting treatment resistance, adequate treatment, and treatment response, providing a benchmark for research and clinical translation in schizophrenia.

TL;DR: Higher-quality trials and patient-based meta-analyses are needed to determine whether subpopulations might benefit from combination treatment, as no single strategy can be recommended for patients with schizophrenia based on the current meta-analytic literature.

TL;DR: A taxonomy of concerns and ethical challenges surrounding ethics committees and the gap of social media research; questions of validity, data, and machine learning; and implications of this research for key stakeholders is presented.

TL;DR: These data reinforce the need for ongoing collaborations integrating expertise from multiple fields to strengthen the ability to accurately identify and effectively engage individuals with mental illness online and move from noisy self-reports of schizophrenia on social media to more accurate identification of diagnoses by exploring a human-machine partnered approach.

TL;DR: This work examined how youth with psychotic spectrum disorders versus non‐psychotic mood disorders use online resources in the early illness stages.