Eur Rev Med Pharmacol Sci 2020; 24 (22): 11977-11981

DOI: 10.26355/eurrev_202011_23860

Application of machine intelligence technology in the detection of vaccines and medicines for SARS-CoV-2

M.H. Alsharif, Y.H. Alsharif, M.A. Albreem, A. Jahid, A.A.A. Solyman, K. Yahya, O.A. Alomari, M.S. Hossain

Department of Electrical Engineering, College of Electronics and Information Engineering, Sejong University, Gwangjin-gu, Seoul, Korea. malsharif@sejong.ac.kr


Researchers have found many similarities between the 2003 severe acute respiratory syndrome (SARS) virus and SARS-CoV-19 through existing data that reveal the SARS’s cause. Artificial intelligence (AI) learning models can be created to predict drug structures that can be used to treat COVID-19. Despite the effectively demonstrated repurposed drugs, more repurposed drugs should be recognized. Furthermore, technological advancements have been helpful in the battle against COVID-19. Machine intelligence technology can support this procedure by rapidly determining adequate and effective drugs against COVID-19 and by overcoming any barrier between a large number of repurposed drugs, laboratory/clinical testing, and final drug authorization. This paper reviews the proposed vaccines and medicines for SARS-CoV-2 and the current application of AI in drug repurposing for COVID-19 treatment.

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To cite this article

M.H. Alsharif, Y.H. Alsharif, M.A. Albreem, A. Jahid, A.A.A. Solyman, K. Yahya, O.A. Alomari, M.S. Hossain
Application of machine intelligence technology in the detection of vaccines and medicines for SARS-CoV-2

Eur Rev Med Pharmacol Sci
Year: 2020
Vol. 24 - N. 22
Pages: 11977-11981
DOI: 10.26355/eurrev_202011_23860