Machine Learning Could Help Predict Risk Of Preterm Birth Using Wearables Data

This research paper looks at the potential of wearables to drive changes in health, specifically in the context of pregnancy. Researchers from Stanford University and Washington University in St. Louis used a deep learning model to analyze wearable activity and sleep data from over 1000 pregnant participants. The data showed that those with data profiles that didn’t match their pregnancy stage were more likely to result in a preterm birth. The study stands out due to its large and diverse participant group, with over half of them being Black women.