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That New Fitbit Does More Than Count steps. It May Save Your Life One Day

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Chenyang Lu, a professor of computer science and engineering, is marrying fitbits with machine learning to predict which patients are at risk for complications after surgery. “The general evolution of wearables has gone from fun and wellness to providing real health metrics,” he said, “but the third stage in their evolution is clinical medicine.”

Working with surgeons from the School of Medicine, Lu’s team has turned a Fitbit into a life-saving element of clinical care. Take pancreatic cancer. One of the best treatment options is surgery, Lu said, but it’s extremely risky. “Do you go through with the surgery or not? It’s a tough decision. But if you can predict who’s at high risk, the surgeon and patient can have a more informed discussion.”  Read more . . . 


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