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AI tools help predict severe asthma risks in young children
['Susan Murphy', 'Mayo Clinic']
Medical Xpress - latest medical and health news stories
Respiratory infections are the most common trigger of asthma attacks, but symptoms vary widely and change over time.
That makes it hard for clinicians to know which children are most vulnerable, a gap these AI tools are designed to help address.
Asthma risk revealed by age 3When researchers compared this subgroup with other children in the study, the differences were clear.
Together, the findings point to a high-risk asthma subtype that makes some children more vulnerable to acute respiratory infections and asthma exacerbation.
More information: Young J. Juhn et al, Artificial intelligence biomarker detects high-risk childhood asthma subgroup for respiratory infections and exacerbations, Journal of Allergy and Clinical Immunology (2025).
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