Generic placeholder image

Current Nanoscience

Editor-in-Chief

ISSN (Print): 1573-4137
ISSN (Online): 1875-6786

Review Article

Can Machine Learning and Nanotechnology Help the Fight Against the Current COVID-19 Crisis?

Author(s): Venkatasubbaiah Rashmi, Kanchana V., Jha Prakash Kumar and Konasur Rajesh Sanjay*

Volume 17, Issue 6, 2021

Published on: 08 February, 2021

Page: [844 - 852] Pages: 9

DOI: 10.2174/1573413717666210208182816

Price: $65

conference banner
Abstract

The entire world is now in a state of caution since the outbreak of the COVID-19 pandemic. The overwhelmingly high spread and mortality rate due to the SARS-CoV-2 virus has not only made the headlines but also raised alarming concerns for the human community. Applications of nano-biotechnology, along with machine learning, have excellent potential in dealing with serious health issues, mainly in medical science. This review article aims to augment the multidimensional use of silver nanoparticles, especially in the fabrication of textiles and face masks, which could represent a new avenue for prevention. Furthermore, the disinfection of COVID-19, along with other pathogens using silver nanoparticles and machine learning could help in the risk assessment.

Keywords: Silver nanoparticles, COVID-19, super-hydrophobic textile, nanoparticle filter, artificial intelligence, risk.

Graphical Abstract

Rights & Permissions Print Cite
© 2024 Bentham Science Publishers | Privacy Policy