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

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

Volume: 17 Issue: 6

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

Affiliation:

• Department of Biotechnology, Sri Jayachamarajendra College of Engineering, JSS Science and Technology University, JSS TI Campus, Manasagangothri, Mysuru, Karnataka, 570006,India

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

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.

Cite this article as:

Rashmi Venkatasubbaiah , V. Kanchana , Kumar Prakash Jha and Sanjay Rajesh Konasur *, Can Machine Learning and Nanotechnology Help the Fight Against the Current COVID-19 Crisis?, Current Nanoscience 2021; 17 (6) . https://dx.doi.org/10.2174/1573413717666210208182816