A machine learning-based approach uncovered disruptions of brain connectivity in children displaying aggression.
Search for: anxiety disorder
New research on Olfactory Virtual Reality (OVR) paints a clearer picture for clinical psychiatrists about how it could be used to safely and effectively help mental health and mood disorders.
To help patients manage their mental wellness between appointments, researchers at Texas A&M University have developed a smart device-based electronic platform that can continuously monitor the state of hyperarousal, one of the signs of psychiatric distress.
Sharing information about the expected effect of a health app before its use and providing positive feedback regarding its effectiveness after its use have the potential to strengthen the placebo effect.
Scientists have developed a machine learning method that crunches massive amounts of data to help determine which existing medications could improve outcomes in diseases for which they are not prescribed.
Researchers have shown that they can measure those effects of the Corona pandemic on mental health by analyzing the language that people use to express their anxiety online.
Researchers have developed a smart material that can help those with affective disorders, such as anxiety, bi-polar disorder and depression, to monitor their emotions.
Researchers have used artificial intelligence to detect hidden depression in young children, a condition that can lead to increased risk of substance abuse and suicide later in life if left untreated.