The Emerging Role of Artificial Intelligence in the Fight Against COVID-19

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 popu...

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Detalles Bibliográficos
Autores principales: Ghose, Aruni, Roy, Sabyasachi, Vasdev, Nikhil, Olsburgh, Jonathon, Dasgupta, Prokar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Association of Urology. Published by Elsevier B.V. 2020
Materias:
Platinum Opinion
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498248/
https://www.ncbi.nlm.nih.gov/pubmed/32994064
http://dx.doi.org/10.1016/j.eururo.2020.09.031
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author Ghose, Aruni
Roy, Sabyasachi
Vasdev, Nikhil
Olsburgh, Jonathon
Dasgupta, Prokar
author_facet Ghose, Aruni
Roy, Sabyasachi
Vasdev, Nikhil
Olsburgh, Jonathon
Dasgupta, Prokar
author_sort Ghose, Aruni
collection PubMed
description 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.
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spelling pubmed-74982482020-09-18 The Emerging Role of Artificial Intelligence in the Fight Against COVID-19 Ghose, Aruni Roy, Sabyasachi Vasdev, Nikhil Olsburgh, Jonathon Dasgupta, Prokar Eur Urol Platinum Opinion 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. European Association of Urology. Published by Elsevier B.V. 2020-12 2020-09-17 /pmc/articles/PMC7498248/ /pubmed/32994064 http://dx.doi.org/10.1016/j.eururo.2020.09.031 Text en © 2020 European Association of Urology. Published by Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Platinum Opinion
Ghose, Aruni
Roy, Sabyasachi
Vasdev, Nikhil
Olsburgh, Jonathon
Dasgupta, Prokar
The Emerging Role of Artificial Intelligence in the Fight Against COVID-19
title The Emerging Role of Artificial Intelligence in the Fight Against COVID-19
title_full The Emerging Role of Artificial Intelligence in the Fight Against COVID-19
title_fullStr The Emerging Role of Artificial Intelligence in the Fight Against COVID-19
title_full_unstemmed The Emerging Role of Artificial Intelligence in the Fight Against COVID-19
title_short The Emerging Role of Artificial Intelligence in the Fight Against COVID-19
title_sort emerging role of artificial intelligence in the fight against covid-19
topic Platinum Opinion
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498248/
https://www.ncbi.nlm.nih.gov/pubmed/32994064
http://dx.doi.org/10.1016/j.eururo.2020.09.031
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