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Artificial intelligence and COVID-19: A multidisciplinary approach.
Integr Med Res. 2020 Sep; 9(3):100434.IM

Abstract

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.

Authors+Show Affiliations

Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, Florida, USA.Wilkes Honors College, Florida Atlantic University, Jupiter, Florida, USA.College of Engineering and Computer Science, Florida Atlantic University, Boca Raton, Florida, USA.

Pub Type(s)

Editorial

Language

eng

PubMed ID

32632356

Citation

Ahuja, Abhimanyu S., et al. "Artificial Intelligence and COVID-19: a Multidisciplinary Approach." Integrative Medicine Research, vol. 9, no. 3, 2020, p. 100434.
Ahuja AS, Reddy VP, Marques O. Artificial intelligence and COVID-19: A multidisciplinary approach. Integrative medicine research. 2020;9(3):100434.
Ahuja, A. S., Reddy, V. P., & Marques, O. (2020). Artificial intelligence and COVID-19: A multidisciplinary approach. Integrative Medicine Research, 9(3), 100434. https://doi.org/10.1016/j.imr.2020.100434
Ahuja AS, Reddy VP, Marques O. Artificial Intelligence and COVID-19: a Multidisciplinary Approach. Integrative medicine research. 2020;9(3):100434. PubMed PMID: 32632356.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Artificial intelligence and COVID-19: A multidisciplinary approach. AU - Ahuja,Abhimanyu S, AU - Reddy,Vineet Pasam, AU - Marques,Oge, Y1 - 2020/05/27/ PY - 2020/05/21/received PY - 2020/7/8/entrez PY - 2020/7/8/pubmed PY - 2020/7/8/medline KW - Artificial intelligence KW - COVID-19 KW - Drug Discovery KW - Integrative medicine KW - Vaccine development SP - 100434 EP - 100434 JF - Integrative medicine research VL - 9 IS - 3 N2 - 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. SN - 2213-4220 UR - https://www.unboundmedicine.com/medline/citation/32632356/Artificial_intelligence_and_COVID_19:_A_multidisciplinary_approach_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S2213-4220(20)30066-4 DB - PRIME DP - Unbound Medicine ER -
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