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Over the past several years, managing one's mental health has become more of a priority with an increased emphasis on self-care. Depression alone affects more than 300 million people worldwide annually.
Using Fitbits and a novel machine learning model, a multi-institutional team led by Washington University in St. Louis' Chenyang Lu is ushering in the next step in personalization for treatment of depression.
Chenyang Lu, the Fullgraf Professor of computer science and engineering in the Washington University in St. Louis McKelvey School of Engineering, is combining artificial intelligence with data to improve patient care and outcomes.
Research from the lab of Ning Zhang in the McKelvey School of Engineering shows a new way to keep people safe in driverless cars when a hacker attacks.
Professor matches Fitbits with machine learning to predict which patients are at risk for complications after surgery