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A step toward better sample management of COVID-19: On-spot detection by biometric technology and artificial intelligence

The outbreak of the corona virus pandemic has severely disrupted human lives and socioeconomical structures across most nations around the world since December 2019. Researchers around the world are working on finding solutions to overcome or at least control the pandemic. Biometric monitoring and a...

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Detalles Bibliográficos
Autores principales: Sharma, Vivek, Dastidar, Monalisha Ghosh, Sutradhar, Sarada, Raj, Veena, De Silva, Kithma, Roy, Sharmili
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334987/
http://dx.doi.org/10.1016/B978-0-323-91307-2.00017-1
Descripción
Sumario:The outbreak of the corona virus pandemic has severely disrupted human lives and socioeconomical structures across most nations around the world since December 2019. Researchers around the world are working on finding solutions to overcome or at least control the pandemic. Biometric monitoring and artificial intelligence (AI) offer on-spot sample management for monitoring patients as advanced applications of modern technologies. Various telehealth and remote monitoring systems have become prevalent for early detection of symptoms by collecting dynamic data from patients through biometric monitoring technologies (BMTs). In this chapter, we have summarized rapid diagnostic kits that are available in the market recently. Furthermore, the principle of BMTs and its applications have been discussed in this chapter. In addition, the benefits and challenges involved in using these advanced technologies have also been summarized. Further, advantages of AI technologies that are used in proper screening, analysis, tracking, and prediction have been discussed. We also provided a detailed insight on systematic sample handling processes using the above-mentioned technologies. The advantages of remote data collection and future outlooks of biosensors to be employed remotely for COVID-19 detection and diagnosis have also been explored.