Literature DB >> 33275275

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

M H Alsharif1, Y H Alsharif, M A Albreem, A Jahid, A A A Solyman, K Yahya, O A Alomari, M S Hossain.   

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.

Entities:  

Year:  2020        PMID: 33275275     DOI: 10.26355/eurrev_202011_23860

Source DB:  PubMed          Journal:  Eur Rev Med Pharmacol Sci        ISSN: 1128-3602            Impact factor:   3.507


  1 in total

1.  COVID_SCREENET: COVID-19 Screening in Chest Radiography Images Using Deep Transfer Stacking.

Authors:  R Elakkiya; Pandi Vijayakumar; Marimuthu Karuppiah
Journal:  Inf Syst Front       Date:  2021-03-17       Impact factor: 6.191

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.