A digital data-driven approach was able to predict depression and allow for personalized treatment, according to study results published in Translational Psychiatry.“There are different underlying reasons and causes for depression,” Jyoti Mishra, PhD, senior study author and assistant professor in the department of psychiatry at the University of California, San Diego, School of
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.
Dr Umar Zahoor, head of the emergency department at the Indian Spinal Injuries Centre, said they stop the supply of oxygen to patients who can survive without the life-saving gas for a few hours in such a crisis situation.
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