| dc.contributor.author | Ghose, Aruni | |
| dc.contributor.author | Roy, Sabyasachi | |
| dc.contributor.author | Olsburgh, Jonathon | |
| dc.contributor.author | Vasdev, Nikhil | |
| dc.contributor.author | Dasgupta, Prokar | |
| dc.date.accessioned | 2020-09-24T00:10:49Z | |
| dc.date.available | 2020-09-24T00:10:49Z | |
| dc.date.issued | 2020-09-17 | |
| dc.identifier.citation | Ghose , 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.issn | 0302-2838 | |
| dc.identifier.uri | http://hdl.handle.net/2299/23170 | |
| dc.description | Copyright © 2020 European Association of Urology. Published by Elsevier B.V. All rights reserved. | |
| dc.description.abstract | The 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.format.extent | 138426 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | European Urology | |
| dc.subject | Urology | |
| dc.title | The emerging role of Artificial Intelligence in the fight against COVID-19 | en |
| dc.contributor.institution | Department of Clinical and Pharmaceutical Sciences | |
| dc.contributor.institution | Centre for Health Services and Clinical Research | |
| dc.contributor.institution | Basic and Clinical Science Unit | |
| dc.contributor.institution | Extracellular Vesicle Research Unit | |
| dc.contributor.institution | School of Life and Medical Sciences | |
| dc.contributor.institution | Department of Clinical, Pharmaceutical and Biological Science | |
| dc.description.status | Peer reviewed | |
| dc.date.embargoedUntil | 2021-09-17 | |
| dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85091886748&partnerID=8YFLogxK | |
| rioxxterms.versionofrecord | 10.1016/j.eururo.2020.09.031 | |
| rioxxterms.type | Journal Article/Review | |
| herts.preservation.rarelyaccessed | true | |
