Machine learning of flow cytometry data reveals the delayed innate immune responses correlate with the severity of COVID-19

Machine learning of flow cytometry data reveals the delayed innate immune responses correlate with the severity of COVID-19

IntroductionThe COVID-19 pandemic has posed a major burden on healthcare and economic systems across the globe for over 3 years. Even though vaccines are available, the pathogenesis is still unclear. Multiple studies have indicated heterogeneity of immune responses to SARS-CoV-2, and potentially dis...

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Bibliographic Details
Main Authors: Jing Zhu, Tunan Chen, Xueying Mao, Yitian Fang, Heqi Sun, Dong-Qing Wei, Guangfu Ji
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Immunology
Subjects:
delayed innate immune responses
relevance scores
COVID-19
neural network
dynamics model
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2023.974343/full

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2023.974343/full

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