Single-cell co-expression analysis using computational machine learning reveals oxidative, immunopathologic, and myocardial responses for multi-organ failure in COVID-19.

Zhang, Cheng; Wang, Ning; Chen, Guoming; Tang, Guoyi; Tam, Chiwing; Tan, Hor-Yue; Xu, Xiaoyu; Feng, Yibin

Zhang, Cheng; Wang, Ning; Chen, Guoming; Tang, Guoyi; Tam, Chiwing; Tan, Hor-Yue; Xu, Xiaoyu; Feng, Yibin.

Zhang C; School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Wang N; School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Chen G; School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Tang G; School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Tam C; School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Tan HY; School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Xu X; School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, China.
Feng Y; School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.

Clin Transl Med ; 12(10): e1049, 2022 Oct.

Article in English | MEDLINE | ID: covidwho-2047533

Subject(s)

COVID-19; Humans; Machine Learning; Multiple Organ Failure; Oxidative Stress

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Limits: Humans Language: English Journal: Clin Transl Med Year: 2022 Document Type: Article Affiliation country: Ctm2.1049

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