By: Katie Palmer
Researchers applied machine learning methods to streams of data about sleep patterns and activity levels from devices worn by pregnant women to predict risk of premature birth.
Katie Palmer is a health tech reporter for STAT News. With a background in science and health editing, Katie covers a wide range of topics in the health tech industry, including AI, medical devices, telehealth, and precision medicine. Her work has been featured in publications such as WIRED and she has a particular interest in the intersection of technology and healthcare.
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