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Emerging Technologies for Use in the Study, Diagnosis, and Treatment of Patients with COVID-19

Maria Tsikala Vafea, Eleftheria Atalla, Joanna Georgakas, Fadi Shehadeh, Evangelia K. Mylona, Markos Kalligeros, Eleftherios Mylonakis

Cellular and Molecular Bioengineering · 2020 · 156 citations · 45 references

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TL;DR

The COVID‑19 pandemic has triggered an unprecedented global health and economic crisis, underscoring the urgent need for innovative solutions amid limited resources. This review aims to summarize emerging technologies applied to the study, diagnosis, and treatment of COVID‑19. The authors highlight key focus areas—including artificial intelligence, big data and IoT, mathematical modeling, community screening technologies, nanotechnology for therapeutics and vaccines, telemedicine, 3D printing, and robotics—to address the pandemic. The review concludes that collaboration and open sharing of knowledge, tools, and expertise are essential for advancing these technologies.

Abstract

The COVID-19 pandemic has caused an unprecedented health and economic worldwide crisis. Innovative solutions are imperative given limited resources and immediate need for medical supplies, healthcare support and treatments. The purpose of this review is to summarize emerging technologies being implemented in the study, diagnosis, and treatment of COVID-19. Key focus areas include the applications of artificial intelligence, the use of Big Data and Internet of Things, the importance of mathematical modeling for predictions, utilization of technology for community screening, the use of nanotechnology for treatment and vaccine development, the utility of telemedicine, the implementation of 3D-printing to manage new demands and the potential of robotics. The review concludes by highlighting the need for collaboration in the scientific community with open sharing of knowledge, tools, and expertise.