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

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)...

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Detalles Bibliográficos
Autores principales: Camiolo, Matthew J., Zhou, Xiuxia, Wei, Qi, Trejo Bittar, Humberto E., Kaminski, Naftali, Ray, Anuradha, Wenzel, Sally E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Clinical Investigation 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8663569/
https://www.ncbi.nlm.nih.gov/pubmed/34591794
http://dx.doi.org/10.1172/jci.insight.149945

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8663569/
https://www.ncbi.nlm.nih.gov/pubmed/34591794
http://dx.doi.org/10.1172/jci.insight.149945

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