Sleep data from wearable device may help predict preterm birth

Preterm birth complications are the primary cause of death among children under age 5, and nearly 75% could be prevented with interventions, according to the World Health Organization. While the causes leading to preterm birth are largely unknown, an interdisciplinary research team at Washington University in St. Louis has found that variability in sleep patterns in people experiencing pregnancy can effectively predict preterm birth.

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