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Artificial intelligence and COVID-19: A multidisciplinary approach
The COVID-19 pandemic is taking a colossal toll in human suffering and lives. A significant amount of new scientific research and data sharing is underway due to the pandemic which is still rapidly spreading. There is now a growing amount of coronavirus related datasets as well as published papers t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7255319/ https://www.ncbi.nlm.nih.gov/pubmed/32632356 http://dx.doi.org/10.1016/j.imr.2020.100434 |
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author | Ahuja, Abhimanyu S. Reddy, Vineet Pasam Marques, Oge |
author_facet | Ahuja, Abhimanyu S. Reddy, Vineet Pasam Marques, Oge |
author_sort | Ahuja, Abhimanyu S. |
collection | PubMed |
description | The COVID-19 pandemic is taking a colossal toll in human suffering and lives. A significant amount of new scientific research and data sharing is underway due to the pandemic which is still rapidly spreading. There is now a growing amount of coronavirus related datasets as well as published papers that must be leveraged along with artificial intelligence (AI) to fight this pandemic by driving news approaches to drug discovery, vaccine development, and public awareness. AI can be used to mine this avalanche of new data and papers to extract new insights by cross-referencing papers and searching for patterns that AI algorithms could help discover new possible treatments or help in vaccine development. Drug discovery is not a trivial task and AI technologies like deep learning can help accelerate this process by helping predict which existing drugs, or brand-new drug-like molecules could treat COVID-19. AI techniques can also help disseminate vital information across the globe and reduce the spread of false information about COVID-19. The positive power and potential of AI must be harnessed in the fight to slow the spread of COVID-19 in order to save lives and limit the economic havoc due to this horrific disease. |
format | Online Article Text |
id | pubmed-7255319 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-72553192020-05-28 Artificial intelligence and COVID-19: A multidisciplinary approach Ahuja, Abhimanyu S. Reddy, Vineet Pasam Marques, Oge Integr Med Res Editorial The COVID-19 pandemic is taking a colossal toll in human suffering and lives. A significant amount of new scientific research and data sharing is underway due to the pandemic which is still rapidly spreading. There is now a growing amount of coronavirus related datasets as well as published papers that must be leveraged along with artificial intelligence (AI) to fight this pandemic by driving news approaches to drug discovery, vaccine development, and public awareness. AI can be used to mine this avalanche of new data and papers to extract new insights by cross-referencing papers and searching for patterns that AI algorithms could help discover new possible treatments or help in vaccine development. Drug discovery is not a trivial task and AI technologies like deep learning can help accelerate this process by helping predict which existing drugs, or brand-new drug-like molecules could treat COVID-19. AI techniques can also help disseminate vital information across the globe and reduce the spread of false information about COVID-19. The positive power and potential of AI must be harnessed in the fight to slow the spread of COVID-19 in order to save lives and limit the economic havoc due to this horrific disease. Elsevier 2020-09 2020-05-27 /pmc/articles/PMC7255319/ /pubmed/32632356 http://dx.doi.org/10.1016/j.imr.2020.100434 Text en © 2020 Korea Institute of Oriental Medicine. Publishing services by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Editorial Ahuja, Abhimanyu S. Reddy, Vineet Pasam Marques, Oge Artificial intelligence and COVID-19: A multidisciplinary approach |
title | Artificial intelligence and COVID-19: A multidisciplinary approach |
title_full | Artificial intelligence and COVID-19: A multidisciplinary approach |
title_fullStr | Artificial intelligence and COVID-19: A multidisciplinary approach |
title_full_unstemmed | Artificial intelligence and COVID-19: A multidisciplinary approach |
title_short | Artificial intelligence and COVID-19: A multidisciplinary approach |
title_sort | artificial intelligence and covid-19: a multidisciplinary approach |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7255319/ https://www.ncbi.nlm.nih.gov/pubmed/32632356 http://dx.doi.org/10.1016/j.imr.2020.100434 |
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