Using big data to save babies

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Using big data to save babies

Although bronchopulmonary dysplasia (BPD)—a chronic lung disease affecting newborns—is the most common complication of preterm birth, it remains difficult to diagnose and treat. Researchers from Fundación INFANT in Buenos Aires, Argentina, and The University of Oklahoma Health Sciences Center, hope to address these difficulties using machine learning to inform the clinical care of preemies with BPD. The team will present their work virtually at the American Physiological Society’s (APS) annual meeting at Experimental Biology 2021.

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