2021
Muratov, Eugene N.; Amaro, Rommie; Andrade, Carolina H.; Brown, Nathan; Ekins, Sean; Fourches, Denis; Isayev, Olexandr; Kozakov, Dima; Medina-Franco, José L.; Merz, Kenneth M.; Oprea, Tudor I.; Poroikov, Vladimir; Schneider, Gisbert; Todd, Matthew H.; Varnek, Alexandre; Winkler, David A.; Zakharov, Alexey V.; Cherkasov, Artem; Tropsha, Alexander
A critical overview of computational approaches employed for COVID-19 drug discovery Journal Article
In: Chem. Soc. Rev., vol. 50, no. 16, pp. 9121–9151, 2021, ISSN: 1460-4744.
Abstract | Links | BibTeX | Tags: COVID19
@article{Muratov2021,
title = {A critical overview of computational approaches employed for COVID-19 drug discovery},
author = {Eugene N. Muratov and Rommie Amaro and Carolina H. Andrade and Nathan Brown and Sean Ekins and Denis Fourches and Olexandr Isayev and Dima Kozakov and Jos\'{e} L. Medina-Franco and Kenneth M. Merz and Tudor I. Oprea and Vladimir Poroikov and Gisbert Schneider and Matthew H. Todd and Alexandre Varnek and David A. Winkler and Alexey V. Zakharov and Artem Cherkasov and Alexander Tropsha},
doi = {10.1039/d0cs01065k},
issn = {1460-4744},
year = {2021},
date = {2021-08-16},
urldate = {2021-08-16},
journal = {Chem. Soc. Rev.},
volume = {50},
number = {16},
pages = {9121--9151},
publisher = {Royal Society of Chemistry (RSC)},
abstract = {\<jats:p\>We cover diverse methodologies, computational approaches, and case studies illustrating the ongoing efforts to develop viable drug candidates for treatment of COVID-19.\</jats:p\>},
keywords = {COVID19},
pubstate = {published},
tppubtype = {article}
}
<jats:p>We cover diverse methodologies, computational approaches, and case studies illustrating the ongoing efforts to develop viable drug candidates for treatment of COVID-19.</jats:p>
Firouzi, Farshad; Farahani, Bahar; Daneshmand, Mahmoud; Grise, Kathy; Song, Jaeseung; Saracco, Roberto; Wang, Lucy Lu; Lo, Kyle; Angelov, Plamen; Soares, Eduardo; Loh, Po-Shen; Talebpour, Zeynab; Moradi, Reza; Goodarzi, Mohsen; Ashraf, Haleh; Talebpour, Mohammad; Talebpour, Alireza; Romeo, Luca; Das, Rupam; Heidari, Hadi; Pasquale, Dana; Moody, James; Woods, Chris; Huang, Erich S.; Barnaghi, Payam; Sarrafzadeh, Majid; Li, Ron; Beck, Kristen L.; Isayev, Olexandr; Sung, Nakmyoung; Luo, Alan
Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World Journal Article
In: IEEE Internet Things J., vol. 8, no. 16, pp. 12826–12846, 2021, ISSN: 2327-4662.
Abstract | Links | BibTeX | Tags: COVID19
@article{Firouzi2021,
title = {Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World},
author = {Farshad Firouzi and Bahar Farahani and Mahmoud Daneshmand and Kathy Grise and Jaeseung Song and Roberto Saracco and Lucy Lu Wang and Kyle Lo and Plamen Angelov and Eduardo Soares and Po-Shen Loh and Zeynab Talebpour and Reza Moradi and Mohsen Goodarzi and Haleh Ashraf and Mohammad Talebpour and Alireza Talebpour and Luca Romeo and Rupam Das and Hadi Heidari and Dana Pasquale and James Moody and Chris Woods and Erich S. Huang and Payam Barnaghi and Majid Sarrafzadeh and Ron Li and Kristen L. Beck and Olexandr Isayev and Nakmyoung Sung and Alan Luo},
doi = {10.1109/jiot.2021.3073904},
issn = {2327-4662},
year = {2021},
date = {2021-08-15},
urldate = {2021-08-15},
journal = {IEEE Internet Things J.},
volume = {8},
number = {16},
pages = {12826--12846},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
abstract = {As COVID-19 hounds the world, the common cause of finding a swift solution to manage the pandemic has brought together researchers, institutions, governments, and society at large. The Internet of Things (IoT), artificial intelligence (AI)\textemdashincluding machine learning (ML) and Big Data analytics\textemdashas well as Robotics and Blockchain, are the four decisive areas of technological innovation that have been ingenuity harnessed to fight this pandemic and future ones. While these highly interrelated smart and connected health technologies cannot resolve the pandemic overnight and may not be the only answer to the crisis, they can provide greater insight into the disease and support frontline efforts to prevent and control the pandemic. This article provides a blend of discussions on the contribution of these digital technologies, propose several complementary and multidisciplinary techniques to combat COVID-19, offer opportunities for more holistic studies, and accelerate knowledge acquisition and scientific discoveries in pandemic research. First, four areas, where IoT can contribute are discussed, namely: 1) tracking and tracing; 2) remote patient monitoring (RPM) by wearable IoT (WIoT); 3) personal digital twins (PDTs); and 4) real-life use case: ICT/IoT solution in South Korea. Second, the role and novel applications of AI are explained, namely: 1) diagnosis and prognosis; 2) risk prediction; 3) vaccine and drug development; 4) research data set; 5) early warnings and alerts; 6) social control and fake news detection; and 7) communication and chatbot. Third, the main uses of robotics and drone technology are analyzed, including: 1) crowd surveillance; 2) public announcements; 3) screening and diagnosis; and 4) essential supply delivery. Finally, we discuss how distributed ledger technologies (DLTs), of which blockchain is a common example, can be combined with other technologies for tackling COVID-19.},
keywords = {COVID19},
pubstate = {published},
tppubtype = {article}
}
As COVID-19 hounds the world, the common cause of finding a swift solution to manage the pandemic has brought together researchers, institutions, governments, and society at large. The Internet of Things (IoT), artificial intelligence (AI)—including machine learning (ML) and Big Data analytics—as well as Robotics and Blockchain, are the four decisive areas of technological innovation that have been ingenuity harnessed to fight this pandemic and future ones. While these highly interrelated smart and connected health technologies cannot resolve the pandemic overnight and may not be the only answer to the crisis, they can provide greater insight into the disease and support frontline efforts to prevent and control the pandemic. This article provides a blend of discussions on the contribution of these digital technologies, propose several complementary and multidisciplinary techniques to combat COVID-19, offer opportunities for more holistic studies, and accelerate knowledge acquisition and scientific discoveries in pandemic research. First, four areas, where IoT can contribute are discussed, namely: 1) tracking and tracing; 2) remote patient monitoring (RPM) by wearable IoT (WIoT); 3) personal digital twins (PDTs); and 4) real-life use case: ICT/IoT solution in South Korea. Second, the role and novel applications of AI are explained, namely: 1) diagnosis and prognosis; 2) risk prediction; 3) vaccine and drug development; 4) research data set; 5) early warnings and alerts; 6) social control and fake news detection; and 7) communication and chatbot. Third, the main uses of robotics and drone technology are analyzed, including: 1) crowd surveillance; 2) public announcements; 3) screening and diagnosis; and 4) essential supply delivery. Finally, we discuss how distributed ledger technologies (DLTs), of which blockchain is a common example, can be combined with other technologies for tackling COVID-19.