Long‐term SARS‐CoV‐2 neutralizing antibody level prediction using multimodal deep learning: A prospective cohort study on longitudinal data in Wuhan, China

The ongoing epidemic of SARS‐CoV‐2 is taking a substantial financial and health toll on people worldwide. Assessing the level and duration of SARS‐CoV‐2 neutralizing antibody (Nab) would provide key information for government to make sound healthcare policies. Assessed at 3‐, 6‐, 12‐, and 18‐month p...

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Veröffentlicht in:	Journal of medical virology 2023-08, Vol.95 (8), p.e29036-n/a
Hauptverfasser:	Fang, Cong, Yan, Weiming, Chen, Yuying, Dou, Zhiyong, Liu, Tingting, Luo, Fengning, Chen, Weiwei, Li, Xitang, Chen, Yajie, Wu, Wenhui, Yuan, Zhize, Niu, Yuxin, Wang, Peng, Zhu, Wenzhen, Luo, Xiaoping, Chen, Tao, Bai, Xiang, Wang, Xiaojing, Ning, Qin
Format:	Artikel
Sprache:	eng
Schlagworte:	Antibodies antibody prediction Coagulation Cohort analysis Computed tomography COVID-19 data imputation Deep learning Epidemics Health policy Health risks Immune response Immunoglobulin G Inspection longitudinal data Lymphocytes Lymphocytes B Lymphocytes T multimodal data fusion Natural killer cells Neutralizing Predictions prospective study Recurrent infection Severe acute respiratory syndrome Severe acute respiratory syndrome coronavirus 2 Vaccination Viral diseases Virology Viruses
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