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

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

^*Corresponding author for this work

Research output: Contribution to journal › Review article › peer-review

16 Citations (Scopus)

6 Downloads (Pure)

Abstract

Researchers have found many similarities between the 2003 severe acute respiratory syndrome (SARS) virus and SARSCoV-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 SARSCoV-2 and the current application of AI in drug repurposing for COVID-19 treatment.

Original language	English
Pages (from-to)	11977-11981
Number of pages	5
Journal	European Review for Medical and Pharmacological Sciences
Volume	24
Issue number	22
DOIs	https://doi.org/10.26355/eurrev_202011_23860
Publication status	Published - 2020
Externally published	Yes

Keywords

Artificial intelligence
Coronavirus
COVID-19
Machine learning
SARS-CoV-2

ASJC Scopus subject areas

Pharmacology (medical)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.26355/eurrev_202011_23860

Final published versionFinal published version, 508 KBLicence: CC BY-NC-ND

Cite this

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

abstract = "Researchers have found many similarities between the 2003 severe acute respiratory syndrome (SARS) virus and SARSCoV-19 through existing data that reveal the SARS{\textquoteright}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 SARSCoV-2 and the current application of AI in drug repurposing for COVID-19 treatment.",

keywords = "Artificial intelligence, Coronavirus, COVID-19, Machine learning, SARS-CoV-2",

author = "Alsharif, {M. H.} and Alsharif, {Y. H.} and Albreem, {M. A.} and A. Jahid and A.A.A. Solyman and K. Yahya and Alomari, {O. A.} and Hossain, {M. S.}",

year = "2020",

doi = "10.26355/eurrev_202011_23860",

language = "English",

volume = "24",

pages = "11977--11981",

journal = "European Review for Medical and Pharmacological Sciences",

issn = "1128-3602",

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TY - JOUR

T1 - Application of machine intelligence technology in the detection of vaccines and medicines for SARS-CoV-2

AU - Alsharif, M. H.

AU - Alsharif, Y. H.

AU - Albreem, M. A.

AU - Jahid, A.

AU - Solyman, A.A.A.

AU - Yahya, K.

AU - Alomari, O. A.

AU - Hossain, M. S.

PY - 2020

Y1 - 2020

N2 - Researchers have found many similarities between the 2003 severe acute respiratory syndrome (SARS) virus and SARSCoV-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 SARSCoV-2 and the current application of AI in drug repurposing for COVID-19 treatment.

AB - Researchers have found many similarities between the 2003 severe acute respiratory syndrome (SARS) virus and SARSCoV-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 SARSCoV-2 and the current application of AI in drug repurposing for COVID-19 treatment.

KW - Artificial intelligence

KW - Coronavirus

KW - COVID-19

KW - Machine learning

KW - SARS-CoV-2

U2 - 10.26355/eurrev_202011_23860

DO - 10.26355/eurrev_202011_23860

M3 - Review article

C2 - 33275275

AN - SCOPUS:85097126863

SN - 1128-3602

VL - 24

SP - 11977

EP - 11981

JO - European Review for Medical and Pharmacological Sciences

JF - European Review for Medical and Pharmacological Sciences

IS - 22

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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Cite this