The Johns Hopkins University Applied Physics Laboratory’s Post

A persistent challenge in psychiatry is the lack of objective measures for evaluating and tracking mental health over time. https://jhuapl.link/kb9 By harnessing recent technological breakthroughs in physiological monitoring and machine learning, researchers at Johns Hopkins APL in collaboration with psychiatrists at Johns Hopkins Medicine, have made significant strides toward creating objective digital measures for assessing and tracking mental health. Tagged TEAPOT by its APL developers, the project encompasses a telehealth suite for performing “digital phenotyping” for psychiatric health to provide physicians with clinically relevant data during virtual visits. While traditional phenotyping entails deriving a person’s physical appearance from their DNA, digital phenotyping taps physiological data to estimate symptoms associated with psychiatric disorders, such as depression, anxiety and post-traumatic stress disorder. #JHUAPL | #JHU | Johns Hopkins Bloomberg School of Public Health | #psychiatry | #DigitalPhenotyping | #telehealth | #MentalHealth | #neurodiversity

Bringing Objective Digital Measures to Psychiatric Care

Bringing Objective Digital Measures to Psychiatric Care

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