Tuesday 27 February 2018

Fitness tracker data can enhance biomedical research and personalized health

(PLOS) In a research article publishing February 27 in the open access journal PLOS Biology, Weng Khong Lim and colleagues from the SingHealth Duke-NUS Institute of Precision Medicine, Singapore, and the National Heart Centre Singapore show that wearable sensors are not only able to identify groups of volunteers with similar patterns of daily activity, but can also predict various markers of risk for cardiovascular diseases such as obesity, high blood pressure and high blood sugar.

from EurekAlert! - Social and Behavioral Science http://ift.tt/2FFgYOR

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