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How Your Phone Can Predict Depression and Lead to Personalized Treatment

How Your Phone Can Predict Depression and Lead to Personalized Treatment According to the National Alliance on Mental Illness and the World Health Organization, depression affects 16 million Americans and 322 million people worldwide. Emerging evidence suggests that the COVID-19 pandemic is further exacerbating the prevalence of depression in the general population. With this trajectory, it is evident that more effective strategies are needed for therapeutics that address this critical public health issue. In a recent study, publishing in the June 8, 2021 online edition of  , researchers at University of California San Diego School of Medicine used a combination of modalities, such as measuring brain function, cognition and lifestyle factors, to generate individualized predictions of depression.

How does your brain process emotions? Answer could help address loneliness epidemic

 E-Mail IMAGE: Jyoti Mishra, PhD, is the senior author of the study, director of the NEATLabs and assistant professor in the Department of Psychiatry at UC San Diego School of Medicine. view more  Credit: UC San Diego Health Sciences Research over the last decade has shown that loneliness is an important determinant of health. It is associated with considerable physical and mental health risks and increased mortality. Previous studies have also shown that wisdom could serve as a protective factor against loneliness. This inverse relationship between loneliness and wisdom may be based in different brain processes. In a study published in the March 5, 2021 online edition of

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