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

Jing Zhu,Tunan Chen,Xueying Mao,Yitian Fang,Heqi Sun,Dong-Qing Wei,Guangfu Ji

Frontiers in immunology（2023）

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Abstract

These results suggest that the delayed innate immune responses in the early stage, and the abnormal expression of IL-17a and IFN-γ in classical monocytes, Tregs, and CD8 T cells are primarily responsible for the severity of COVID-19.

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Key words

COVID-19,delayed innate immune responses,dynamics model,neural network,relevance scores

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