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Infectious Disorders - Drug Targets

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ISSN (Print): 1871-5265
ISSN (Online): 2212-3989

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Letter to the Editor

Targeting Infectious Coronavirus Disease 2019 (COVID-19) with Artificial Intelligence (AI) Applications: Evidence Based Opinion

Author(s): Suraj N. Mali* and Amit P. Pratap

Volume 21, Issue 4, 2021

Published on: 22 June, 2020

Page: [475 - 477] Pages: 3

DOI: 10.2174/1871526520666200622144857

[1]
Mali SN, Pratap AP, Thorat BR. The Rise of New Coronavirus Infection-(COVID-19): A Recent Update. EJMO 2020; 4(1): 35-41.
[http://dx.doi.org/10.14744/ejmo.2020.22222]
[2]
WHO situation report 2020.https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports
[3]
Veljkovic V, Vergara-Alert J, Segalés J, Paessler S. Use of the informational spectrum methodology for rapid biological analysis of the novel coronavirus 2019-nCoV: prediction of potential receptor, natural reservoir, tropism and therapeutic/vaccine target. F1000 Res 2020; 9(52): 52.
[http://dx.doi.org/10.12688/f1000research.22149.3]
[4]
Zhou P, Yang X-L, Wang X-G, et al. Discovery of a novel coronavirus associated with the recent pneumonia outbreak in 2 humans and its potential bat origin. bioRxiv 2020; (January): 23.
[5]
Lu H. Drug treatment options for the 2019-new coronavirus (2019-nCoV). Biosci Trends 2020; 14(1): 69-71.
[http://dx.doi.org/10.5582/bst.2020.01020] [PMID: 31996494]
[6]
https://www.weforum.org/agenda/2020/03/covid-19-crisis-artificial-intelligence-creativity/
[7]
Beck B, Shin B, Choi Y, Park S, Kang K. Predicting Commercially Available Antiviral Drugs that may act on the Novel Coronavirus (2019-nCoV), Wuhan, China through a Drug-Target Interaction Deep Learning Model. bioRxiv 2020 ; 2(February).
[http://dx.doi.org/10.1101/2020.01.31.929547]
[8]
Bloom N, Bunn P, Chen S, Mizen P, Smietanka P. The Economic Impact of Coronavirus on UK Businesses: Early Evidence from the Decision Maker Panel VOX CEPR Policy Portal 2020.
[9]
Bogoch I, Watts A, Thomas-Bachli A, Huber C, Kraemer M, Khan K. Pneumonia of Unknown Aaetiology in Wuhan, China: Potential for International spread via Commercial Air Travel. J Travel Med 2020; 27(2): 1-3.
[http://dx.doi.org/10.1093/jtm/taaa008]
[10]
Britt R. Nobody Has a Clue How Many People Have COVID-19 Medium 2020.
[11]
Broad WJ. Versus the Coronavirus The New York Times 2020.https://www.nytimes.com/2020/03/26/science/ai-versus-the-coronavirus.html
[12]
Bullock J, Luccioni A, Pham KH, Lam CSN, Luengo-Oroz M. Mapping the Landscape of Artificial Intelligence Applications against COVID-19 ArXiv 2020.https://arxiv.org/abs/2003.11336v1
[13]
Carroll J. Coronavirus Outbreak: Can Machine Vision and Imaging Play a Part? Vision Systems Design 2020.
[14]
Naudé W. Artificial Intelligence against COVID-19: An Early Review 2020.
[15]
Vaishya R, Javaid M, Khan IH, Haleem A. Artificial Intelligence (AI) applications for COVID-19 pandemic. Diabetes Metab Syndr 2020; 14(4): 337-9.
[http://dx.doi.org/10.1016/j.dsx.2020.04.012] [PMID: 32305024]
[16]
Rosebrock A. Detecting COVID-19 in X-ray Images with Keras, TensorFlow, and Deep Learning PyImageSearch 2020.
[17]
Maghdid H, Ghafoor K, Sadiq A, Curran K, Rabie K. A Novel AI-enabled Framework to Diagnose Coronavirus COVID-19 using Smartphone Embedded Sensors: Design Study ArXiv 2020.https://arxiv.org/abs/2003.07434
[18]
Wang L, Wong A. COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest Radiography Images arXiv 2020.https://arxiv.org/abs/2003.09871

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