Author: Chauhan, B. V. S.; Jaiswar, A.; Bedi, A.; Verma, S.; Shrivastaw, V. K.; Vedrtnam, A.
Title: Applications of Artificial Intelligence and Molecular Immune Pathogenesis, Ongoing Diagnosis and Treatments for COVID-19 Cord-id: 0o7rt0n4 Document date: 2021_1_1
ID: 0o7rt0n4
Snippet: The Coronavirus Disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus. It is associated with infrequent epidemic derive by SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2) which started in Dec 2019 from Wuhan city, China and escalated throughout the world. The transmission of this SARS-CoV-2 has been reported as a third most pathogenic coronavirus for the human community after SARS-CoV (Severe Respiratory Syndrome Coronavirus) and MERS-CoV (Middle East
Document: The Coronavirus Disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus. It is associated with infrequent epidemic derive by SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2) which started in Dec 2019 from Wuhan city, China and escalated throughout the world. The transmission of this SARS-CoV-2 has been reported as a third most pathogenic coronavirus for the human community after SARS-CoV (Severe Respiratory Syndrome Coronavirus) and MERS-CoV (Middle East Respiratory Syndrome Coronavirus) in 21st century. The aim of this chapter includes portraying the potential of artificial intelligence (AI) technology as a tool to analyse, evaluate, prevent and fight against the COVID-19. Additionally, there is an effort to summarize the molecular biology of this deadly virus, molecular immune pathogenesis, ongoing detection and therapeutic strategies of COVID-19 based on the present understanding of infection mechanism of MERS and SARS coronaviruses. On a broader aspect, this chapter also reports developments in vaccines and therapeutics to cure COVID-19 infection. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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