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10.3389/fimmu.2021.724914

http://scihub22266oqcxt.onion/10.3389/fimmu.2021.724914
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34745097!8564481!34745097
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suck abstract from ncbi

pmid34745097      Front+Immunol 2021 ; 12 (ä): 724914
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  • The Omic Insights on Unfolding Saga of COVID-19 #MMPMID34745097
  • Kaur A; Chopra M; Bhushan M; Gupta S; Kumari P H; Sivagurunathan N; Shukla N; Rajagopal S; Bhalothia P; Sharma P; Naravula J; Suravajhala R; Gupta A; Abbasi BA; Goswami P; Singh H; Narang R; Polavarapu R; Medicherla KM; Valadi J; Kumar S A; Chaubey G; Singh KK; Bandapalli OR; Kavi Kishor PB; Suravajhala P
  • Front Immunol 2021[]; 12 (ä): 724914 PMID34745097show ga
  • The year 2019 has seen an emergence of the novel coronavirus named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causing coronavirus disease of 2019 (COVID-19). Since the onset of the pandemic, biological and interdisciplinary research is being carried out across the world at a rapid pace to beat the pandemic. There is an increased need to comprehensively understand various aspects of the virus from detection to treatment options including drugs and vaccines for effective global management of the disease. In this review, we summarize the salient findings pertaining to SARS-CoV-2 biology, including symptoms, hosts, epidemiology, SARS-CoV-2 genome, and its emerging variants, viral diagnostics, host-pathogen interactions, alternative antiviral strategies and application of machine learning heuristics and artificial intelligence for effective management of COVID-19 and future pandemics.
  • |Artificial Intelligence[MESH]
  • |COVID-19/epidemiology/*immunology[MESH]
  • |Comorbidity[MESH]
  • |Heuristics[MESH]
  • |Host-Pathogen Interactions[MESH]
  • |Humans[MESH]
  • |Pandemics[MESH]
  • |Proteomics[MESH]
  • |SARS-CoV-2/*physiology[MESH]


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