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
Current Nanoscience
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.
Export Options
About this article
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
DOI https://dx.doi.org/10.2174/1573413717666210208182816 |
Print ISSN 1573-4137 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-6786 |
![](/images/wayfinder.jpg)
- Author Guidelines
- Bentham Author Support Services (BASS)
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
Related Articles
-
Fusion Protein Targeted Antiviral Peptides: Fragment-Based Drug Design (FBDD) Guided Rational Design of Dipeptides Against SARS-CoV-2
Current Protein & Peptide Science The Linkage “Body Mass Index-Insomnia Levels-Eating Disorder Flexibility” in Italian Nurses During the Covid-19 Outbreak: A Psychoendocrinological Employment Disease
Endocrine, Metabolic & Immune Disorders - Drug Targets Molecular Docking and Virtual Screening Based Prediction of Drugs for COVID-19
Combinatorial Chemistry & High Throughput Screening A Mini-review of Computational Approaches to Predict Functions and Findings of Novel Micro Peptides
Current Bioinformatics Coronavirus: History, Genome Structure and Pathogenesis
Coronaviruses COVID-19: Could Irisin Become the Handyman Myokine of the 21st Century?
Coronaviruses Therapeutic Measures for the Novel Coronavirus: A Review of Current Status and Future Perspective
Current Molecular Medicine An Overview on COVID-19 and its Effect on Cardiovascular Diseases
Endocrine, Metabolic & Immune Disorders - Drug Targets Coronavirus (COVID - 19): Chemical Entities of Biological Interest
Mini-Reviews in Medicinal Chemistry Oxytocin as a Potential Adjuvant Against COVID-19 Infection
Endocrine, Metabolic & Immune Disorders - Drug Targets Peptide-Based Inhibitors of the HIV Envelope Protein and Other Class I Viral Fusion Proteins
Current Pharmaceutical Design Review and Analysis of Massively Registered Clinical Trials of COVID-19 using the Text Mining Approach
Reviews on Recent Clinical Trials Prevention and Management of SARS-CoV-2 Infection Among the Health Care Workers
Coronaviruses Withdrawal Notice: Recent Discovery for Inhibitors Targeting in SARS-CoV-2 and Developed anti-NCP
Mini-Reviews in Medicinal Chemistry The Antiviral and Antimalarial Drug Repurposing in Quest of Chemotherapeutics to Combat COVID-19 Utilizing Structure-Based Molecular Docking
Combinatorial Chemistry & High Throughput Screening Identification of Main Protease of Coronavirus SARS-CoV-2 (M<sup>pro</sup>) Inhibitors from <i>Melissa officinalis</i>
Current Drug Discovery Technologies Advancements in Adjuvanticity of Bioactive Inorganic and Organic Compounds
Endocrine, Metabolic & Immune Disorders - Drug Targets Pleiotropic Effects of Nitric Oxide on SARS-CoV-2 Infections
Coronaviruses Different Methods for Molecular and Rapid Detection of Human Novel Coronavirus
Current Pharmaceutical Design Thymosin α1; Potential Therapeutic Implications of an Immunoregulatory Drug in the Treatment of Lymphocytopenia Associated with COVID-19
Current Immunology Reviews (Discontinued)