In the News

for the week of January 12, 2026

  • Forbes

    Building Open-Source AI Models That Emphasize Generating Mental Health Advice

    What does open-source means in the realm of AI and LLMs? Learn more in this Forbes post that mentions the AI4MH Initiative.

  • MedPage Today

    Intervention to Get Patients Off Benzodiazepines Succeeds in Trial

    Use of a self-administered electronic intervention led to cessation of benzodiazepines among long-term users, a randomized trial showed. Keith Humphreys, Esther Ting Memorial Professor of Psychiatry and Behavioral Sciences, and Professor, by courtesy, of Health Policy, is quoted.

  • Stanford Wu Tsai Neurosciences Institute

    Big Ideas in Neuroscience tackle brain science of everyday life and more

    From studying post-viral fatigue to engineering transparent mouse brains, round three of the Wu Tsai Neurosciences Institute’s Big Ideas grants will push the bounds of what’s possible. Nirao Shah, Professor of Psychiatry and Behavioral Sciences, of Neurobiology, and, by courtesy, of Obstetrics and Gynecology, and Luis de Lecea, Professor of Psychiatry and Behavioral Sciences, are on the teams for two of the grants funded in this round of Big Ideas projects.

  • News Center - Stanford Medicine

    Five healthy habits for longevity in your 40s and 50s

    These are the perfect decades to invest in habits that will protect your health and vitality for decades to come, Stanford Medicine experts say. Clete Kushida, Professor of Psychiatry and Behavioral Sciences, and David Spiegel, the Jack, Lulu, and Sam Willson Professor in Medicine, are quoted.

  • The Mercury News

    For Gen Z, Dry January has become something much bigger

    Fueled by Gen Z’s avoidance of alcohol, the number of Americans who say they drink is at a 90-year low. But is it coming at a cost? Anna Lembke, Professor of Psychiatry and Behavioral Sciences, explains why Gen Z isn’t necessarily healthier overall just because they drink less alcohol.

  • News Center - Stanford Medicine

    New AI model predicts disease risk while you sleep

    Stanford Medicine scientists and their colleagues created the first artificial intelligence model that can predict more than 100 health conditions from one night’s sleep. Emmanuel Mignot, the Craig Reynolds Professor of Sleep Medicine and Professor, by courtesy, of Genetics and of Neurology and Neurological Sciences, provides comment. View additional news coverage of this study here.

By Category

Additional Topics