Article ; Online: COVID-19 Detection Using Contemporary Biosensors and Machine Learning Approach: A Review.
IEEE transactions on nanobioscience
2024 Volume 23, Issue 2, Page(s) 291–299
Abstract: The current global pandemic not only claims countless human lives but also rocks the economies of every country on the planet. This fact needs the development of novel, productive, and efficient techniques to detect the SARS-CoV-2 virus. This review ... ...
Abstract | The current global pandemic not only claims countless human lives but also rocks the economies of every country on the planet. This fact needs the development of novel, productive, and efficient techniques to detect the SARS-CoV-2 virus. This review article discusses the current state of SARS-CoV-2 virus detection methods such as electrochemical, fluorescent, and electronic, etc., as well as the potential of optical sensors with a wide range of novel approaches and models. This review provides a comprehensive comparison of various detection methods by comparing the various techniques in depth. In addition, there is a brief discussion of the futuristic approach combining optical sensors with machine learning algorithms. It is believed that this study would prove to be critical for the scientific community to explore solutions for detecting viruses with improved functionality. |
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MeSH term(s) | Humans ; COVID-19/diagnosis ; SARS-CoV-2 ; Algorithms ; Machine Learning ; Pandemics ; Biosensing Techniques |
Language | English |
Publishing date | 2024-03-28 |
Publishing country | United States |
Document type | Review ; Journal Article |
ISSN | 1558-2639 |
ISSN (online) | 1558-2639 |
DOI | 10.1109/TNB.2023.3342126 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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