Duke University School of Medicine’s Jonathan Posner, M.D., professor of psychiatry and behavioral sciences, and Matthew Engelhard, M.D., Ph.D., assistant professor of the Department of Biostatistics and Bioinformatics, break down the “Duke PMA” — an artificial intelligence-powered predictive model designed to identify adolescents at high risk for psychiatric illness. They explore how sleep, device use and a myriad of other factors shape mental health risk, and how this technology could transform prevention, especially in underserved communities. LISTEN NOW 

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David Stark, chief of government and external affairs and philanthropy officer at UnityPoint Health, shares how a major philanthropic investment is helping…
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The Substance Abuse and Mental Health Services Administration announced March 6 that it will award $69.1 million in grants for mental health and suicide…
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The AHA collaborated with LCMC Health in New Orleans to spotlight innovative efforts that extend care beyond hospital walls. LCMC Health supports families…
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Rebecca B. Chickey, MPH, AHA’s senior director, behavioral health services, closes Mental Health Awareness Month with a blog highlighting what the AHA and…
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Adrienne Coopey, D.O., a child and adolescent psychiatrist at the West Virginia University Rockefeller Neuroscience Institute, discusses how a fully virtual…
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Even before the COVID pandemic, the mental health and wellness of our young people was failing. The pandemic exacerbated the crisis and made it difficult for…