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dc.contributor.authorGhose, Aruni
dc.contributor.authorRoy, Sabyasachi
dc.contributor.authorOlsburgh, Jonathon
dc.contributor.authorVasdev, Nikhil
dc.contributor.authorDasgupta, Prokar
dc.date.accessioned2020-09-24T00:10:49Z
dc.date.available2020-09-24T00:10:49Z
dc.date.issued2020-09-17
dc.identifier.citationGhose , A , Roy , S , Olsburgh , J , Vasdev , N & Dasgupta , P 2020 , ' The emerging role of Artificial Intelligence in the fight against COVID-19 ' , European Urology . https://doi.org/10.1016/j.eururo.2020.09.031
dc.identifier.issn0302-2838
dc.identifier.otherPURE: 22615038
dc.identifier.otherPURE UUID: 2bb2c9b0-3868-45d4-969f-c56f7cdddbaa
dc.identifier.otherScopus: 85091886748
dc.identifier.otherPubMed: 32994064
dc.identifier.urihttp://hdl.handle.net/2299/23170
dc.descriptionCopyright © 2020 European Association of Urology. Published by Elsevier B.V. All rights reserved.
dc.description.abstractThe coronavirus disease 2019 (COVID-19) pandemic has generated large volumes of clinical data that can be an invaluable resource towards answering a number of important questions for this and future pandemics. Artificial intelligence can have an important role in analysing such data to identify populations at higher risk of COVID-19–related urological pathologies and to suggest treatments that block viral entry into cells by interrupting the angiotensin-converting enzyme 2-transmembrane serine protease 2 (ACE2-TMPRSS2) pathway.en
dc.language.isoeng
dc.relation.ispartofEuropean Urology
dc.subjectUrology
dc.titleThe emerging role of Artificial Intelligence in the fight against COVID-19en
dc.contributor.institutionDepartment of Clinical and Pharmaceutical Sciences
dc.contributor.institutionCentre for Health Services and Clinical Research
dc.contributor.institutionBasic and Clinical Science Unit
dc.contributor.institutionExtracellular Vesicle Research Unit
dc.contributor.institutionSchool of Life and Medical Sciences
dc.contributor.institutionClinical, Pharmaceutical and Biological Science
dc.description.statusPeer reviewed
dc.date.embargoedUntil2021-09-17
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85091886748&partnerID=8YFLogxK
rioxxterms.versionAM
rioxxterms.versionofrecordhttps://doi.org/10.1016/j.eururo.2020.09.031
rioxxterms.typeJournal Article/Review


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