TY - JOUR
T1 - Emerging Technologies for Use in the Study, Diagnosis, and Treatment of Patients with COVID-19
AU - Tsikala Vafea, Maria
AU - Atalla, Eleftheria
AU - Georgakas, Joanna
AU - Shehadeh, Fadi
AU - Mylona, Evangelia K.
AU - Kalligeros, Markos
AU - Mylonakis, Eleftherios
N1 - Publisher Copyright:
© 2020, Biomedical Engineering Society.
PY - 2020/8/1
Y1 - 2020/8/1
N2 - Introduction: 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. Aim: The purpose of this review is to summarize emerging technologies being implemented in the study, diagnosis, and treatment of COVID-19. Results: 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. Conclusion: The review concludes by highlighting the need for collaboration in the scientific community with open sharing of knowledge, tools, and expertise.
AB - Introduction: 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. Aim: The purpose of this review is to summarize emerging technologies being implemented in the study, diagnosis, and treatment of COVID-19. Results: 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. Conclusion: The review concludes by highlighting the need for collaboration in the scientific community with open sharing of knowledge, tools, and expertise.
KW - 3D-printing
KW - Artificial intelligence
KW - Big Data
KW - Community screening
KW - Drug repurposing
KW - Internet of Things
KW - Mathematical modeling
KW - Monoclonal antibodies
KW - Nanomedicine
KW - Robots
KW - Telemedicine
KW - Vaccines
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U2 - 10.1007/s12195-020-00629-w
DO - 10.1007/s12195-020-00629-w
M3 - Article
AN - SCOPUS:85086878271
SN - 1865-5025
VL - 13
SP - 249
EP - 257
JO - Cellular and Molecular Bioengineering
JF - Cellular and Molecular Bioengineering
IS - 4
ER -