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Article

Machine learning implicates the IL-18 signaling axis in severe asthma

30 Sept 2021

Abstract excerpt

Asthma is a common disease with profoundly variable natural history and patient morbidity. Heterogeneity has long been appreciated, and much work has focused on identifying subgroups of patients with similar pathobiological underpinnings. Previous studies of the Severe Asthma Research Program (SARP) cohort linked gene expression changes to specific clinical and physiologic characteristics. While invaluable for...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 34591794
DOI: 10.1172/jci.insight.149945

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