Determining asthma endotypes and outcomes: Complementing existing clinical practice with modern machine learning

There is unprecedented opportunity to use machine learning to integrate high-dimensional molecular data with clinical characteristics to accurately diagnose and manage disease. Asthma is a complex and heterogeneous disease and cannot be solely explained by an aberrant type 2 (T2) immune response. Av...

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Detalles Bibliográficos
Autores principales: Ray, Anuradha, Das, Jishnu, Wenzel, Sally E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Perspective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798025/
https://www.ncbi.nlm.nih.gov/pubmed/36543110
http://dx.doi.org/10.1016/j.xcrm.2022.100857

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798025/
https://www.ncbi.nlm.nih.gov/pubmed/36543110
http://dx.doi.org/10.1016/j.xcrm.2022.100857

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