Digital marker could enhance accuracy of pediatric asthma risk prediction
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Indiana University Jun 11 2025 Researchers at the Indiana University School of Medicine have developed a more accurate and cost-effective method to predict asthma diagnoses in children by using readily available electronic health records. This scalable approach could enhance early detection rates and help reduce the risk of asthma disease progression in young patients. In a study recently published in eClinicalMedicine , the researchers enhanced an existing tool, the Pediatric Asthma Risk Score,
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