PropertyValue
?:abstract
  • 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.
is ?:annotates of
?:creator
?:doi
  • 10.26355/eurrev_202011_23860
?:doi
?:journal
  • European_review_for_medical_and_pharmacological_sciences
?:license
  • unk
?:pmid
?:pmid
  • 33275275.0
?:publication_isRelatedTo_Disease
is ?:relation_isRelatedTo_publication of
?:source
  • Medline
?:title
  • Application of machine intelligence technology in the detection of vaccines and medicines for SARS-CoV-2.
?:type
?:year
  • 2020-11-01

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