New AI-Driven Tool Flags Children at Risk for Asthma

Researchers at the Indiana University School of Medicine have developed a more accurate and cost-effective method for predicting childhood asthma by using a new passive digital marker based on routinely collected electronic health record (EHR) data. The study, published in eClinicalMedicine, represents a significant step forward in early asthma detection, aiming to reduce delays in diagnosis and improve long-term outcomes for children at high risk for developing the disease.

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