A generalizable and easy-to-use COVID-19 stratification model for the next pandemic via immune-phenotyping and machine learning

A generalizable and easy-to-use COVID-19 stratification model for the next pandemic via immune-phenotyping and machine learning

IntroductionThe coronavirus disease 2019 (COVID-19) pandemic has affected billions of people worldwide, and the lessons learned need to be concluded to get better prepared for the next pandemic. Early identification of high-risk patients is important for appropriate treatment and distribution of med...

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Bibliographic Details
Main Authors: Xinlei He, Xiao Cui, Zhiling Zhao, Rui Wu, Qiang Zhang, Lei Xue, Hua Zhang, Qinggang Ge, Yuxin Leng
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Immunology
Subjects:
COVID-19
mass cytometry by time of flight (CyTOF)
classical dendritic cells
lactate dehydrogenase
severity stratification
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2024.1372539/full

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2024.1372539/full

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