Editor's Choice
OCT 14, 2020
Smartphone data can help spot schizophrenic episodes before they happen
Study Finds
Although mental health awareness is a major factor in society today, spotting the signs that someone is suffering is not always easy. Could a device most people use every day also alert someone when they are about to have a problem? Researchers at Cornell University say smartphone data can actually predict when patients with schizophrenia will have a relapse, even a month before an episode occurs.
IBM joins NIH effort to diagnose schizophrenia using AI
Venture Beat
IBM today announced that, in collaboration with researchers from Harvard Medical School, Mount Sinai School of Medicine, Stanford University, and the Northern California Institute for Research and Education, it will undertake a new initiative funded by the U.S. National Institutes of Health to investigate whether AI can be used to better identify people at risk of developing schizophrenia. It’s a part of the multimillion-dollar, multiyear Accelerating Medicines Partnership (AMP) program, a collaboration between the National Institute of Health (NIH), the U.S. Food and Drug Administration (FDA), pharmaceutical companies, biotech firms, and nonprofit organizations to develop new diagnostics and therapies for patients.
SEPT 21, 2020
American Psychiatric Association Publishes Updated Practice Guidelines for the Treatment of Schizophrenia
Psychiatry Advisor
The new guidelines focus on evidence-based pharmacological and nonpharmacological treatments and also includes information on assessment and treatment planning. In December 2019, the American Psychiatric Association (APA) Board of Trustees approved updated practice guidelines for the treatment of schizophrenia. The last full APA practice guideline was published in 2004, with an update in 2009. The 2019 guidelines aim to improve care quality and treatment outcomes for patients with schizophrenia.