The Potential Impact of Artificial Intelligence-Assisted Carbon-Nanotube Field-Effect-Transistor (CNT-FET)-Based Nano-Biosensors on The Diagnosis of The Disease Caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) | ||||
| Egyptian Academic Journal of Biological Sciences. C, Physiology and Molecular Biology | ||||
| Volume 16, Issue 2, December 2024, Page 47-61 PDF (963.45 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/eajbsc.2024.367905 | ||||
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| Authors | ||||
| S. Bashiruddin1; M. Nizamuddin2; P. Gupta1; Mohammad Asrar Izhari3 | ||||
| 1Department of Electrical Electronics and Communication Engineering, Sharda University, Greater Noida, U.P 201310, India. | ||||
| 2Department of Electronics and Communication Engineering, Jamia Millia Islamia, New Delhi 110025, India. | ||||
| 3Department of Laboratory Medicine, Faculty of Applied Medical Sciences, Al-Baha Universit, KSA. | ||||
| Abstract | ||||
| Rapid, appropriate, and reliable diagnosis is paramount for selecting a suitable therapeutic intervention for the clinical management of COVID-19. Several serological and molecular diagnostic methods are available, however, biosensor-based diagnosis has been employed in the diagnosis of viral diseases including COVID-19 due to its high specificity, sensitivity, expeditiousness, low cost, and capability to detect the analyte even at low concentrations, especially during the initial stage of infection and pathogenesis. Due to the high conductivity, and thermal and mechanical stability of CNT, it is considered a potential candidate for biosensor development, for instance, CNT-FET-based biosensors. However, the designing and simulating a high-performance, low-power, and miniaturized CNT-FET nanoelectronic device suitable for diagnostic applications, especially, point-of-care testing (POCT) is crucial for rapid and appropriate diagnosis of COVID-19 and other related viral diseases. Taking the leverage of the advancement of artificial intelligence, attempts have been made to boost the CNT-FET technology and the development of efficient CNT-FET-based biosensor models with accurate performance. This article explains the fundamental concept of the biosensor-based diagnosis of the COVID-19 disease, application of the artificial intelligence to increase the accuracy of the high-performance model, and the approach to standardize the design variables and performance parameters of the nanoelectronic circuit suitable for diagnosis. Moreover, the article highlights the current challenges and meaningful insights into their application in viral disease diagnosis beyond COVID-19 and the future perspective of the CNT-FET-based sensors in viral disease diagnosis. | ||||
| Keywords | ||||
| Fabrication; simulation; nanotechnology; AI; COVID-19 | ||||
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