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A review of modern technologies for tackling COVID-19 pandemic
OBJECTIVE: Science and technology sector constituting of data science, machine learning and artificial intelligence are contributing towards COVID-19. The aim of the present study is to discuss the various aspects of modern technology used to fight against COVID-19 crisis at different scales, includ...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Diabetes India. Published by Elsevier Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7204706/ https://www.ncbi.nlm.nih.gov/pubmed/32413821 http://dx.doi.org/10.1016/j.dsx.2020.05.008 |
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author | Kumar, Aishwarya Gupta, Puneet Kumar Srivastava, Ankita |
author_facet | Kumar, Aishwarya Gupta, Puneet Kumar Srivastava, Ankita |
author_sort | Kumar, Aishwarya |
collection | PubMed |
description | OBJECTIVE: Science and technology sector constituting of data science, machine learning and artificial intelligence are contributing towards COVID-19. The aim of the present study is to discuss the various aspects of modern technology used to fight against COVID-19 crisis at different scales, including medical image processing, disease tracking, prediction outcomes, computational biology and medicines. METHODS: A progressive search of the database related to modern technology towards COVID-19 is made. Further, a brief review is done on the extracted information by assessing the various aspects of modern technologies for tackling COVID-19 pandemic. RESULTS: We provide a window of thoughts on review of the technology advances used to decrease and smother the substantial impact of the outburst. Though different studies relating to modern technology towards COVID-19 have come up, yet there are still constrained applications and contributions of technology in this fight. CONCLUSIONS: On-going progress in the modern technology has contributed in improving people’s lives and hence there is a solid conviction that validated research plans including artificial intelligence will be of significant advantage in helping people to fight this infection. |
format | Online Article Text |
id | pubmed-7204706 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Diabetes India. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72047062020-05-07 A review of modern technologies for tackling COVID-19 pandemic Kumar, Aishwarya Gupta, Puneet Kumar Srivastava, Ankita Diabetes Metab Syndr Article OBJECTIVE: Science and technology sector constituting of data science, machine learning and artificial intelligence are contributing towards COVID-19. The aim of the present study is to discuss the various aspects of modern technology used to fight against COVID-19 crisis at different scales, including medical image processing, disease tracking, prediction outcomes, computational biology and medicines. METHODS: A progressive search of the database related to modern technology towards COVID-19 is made. Further, a brief review is done on the extracted information by assessing the various aspects of modern technologies for tackling COVID-19 pandemic. RESULTS: We provide a window of thoughts on review of the technology advances used to decrease and smother the substantial impact of the outburst. Though different studies relating to modern technology towards COVID-19 have come up, yet there are still constrained applications and contributions of technology in this fight. CONCLUSIONS: On-going progress in the modern technology has contributed in improving people’s lives and hence there is a solid conviction that validated research plans including artificial intelligence will be of significant advantage in helping people to fight this infection. Diabetes India. Published by Elsevier Ltd. 2020 2020-05-07 /pmc/articles/PMC7204706/ /pubmed/32413821 http://dx.doi.org/10.1016/j.dsx.2020.05.008 Text en © 2020 Diabetes India. Published by Elsevier Ltd. 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 | Article Kumar, Aishwarya Gupta, Puneet Kumar Srivastava, Ankita A review of modern technologies for tackling COVID-19 pandemic |
title | A review of modern technologies for tackling COVID-19 pandemic |
title_full | A review of modern technologies for tackling COVID-19 pandemic |
title_fullStr | A review of modern technologies for tackling COVID-19 pandemic |
title_full_unstemmed | A review of modern technologies for tackling COVID-19 pandemic |
title_short | A review of modern technologies for tackling COVID-19 pandemic |
title_sort | review of modern technologies for tackling covid-19 pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7204706/ https://www.ncbi.nlm.nih.gov/pubmed/32413821 http://dx.doi.org/10.1016/j.dsx.2020.05.008 |
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