[HTML][HTML] Artificial intelligence in surveillance, diagnosis, drug discovery and vaccine development against COVID-19

G Arora, J Joshi, RS Mandal, N Shrivastava, R Virmani… - Pathogens, 2021 - mdpi.com
As of August 6th, 2021, the World Health Organization has notified 200.8 million laboratory-
confirmed infections and 4.26 million deaths from COVID-19, making it the worst pandemic …

A review of advanced technologies available to improve the healthcare performance during COVID-19 pandemic

O Ali, A AlAhmad, H Kahtan - Procedia Computer Science, 2023 - Elsevier
Abstract Information technology (IT) has enabled the initiation of an innovative healthcare
system. An innovative healthcare system integrates new technologies such as cloud …

[HTML][HTML] A new approach in identifying the psychological impact of COVID-19 on university student's academic performance

ES Atlam, A Ewis, MM Abd El-Raouf, O Ghoneim… - Alexandria Engineering …, 2022 - Elsevier
COVID-19 was first discovered in Wuhan, China on December 2019. It is one of the worst
pandemics in human history. The education sector is one of the sectors most affected by the …

[HTML][HTML] The application of industry 4.0 technologies in pandemic management: Literature review and case study

J Moosavi, J Bakhshi, I Martek - Healthcare Analytics, 2021 - Elsevier
The Covid-19 pandemic impact on people's lives has been devastating. Around the world,
people have been forced to stay home, resorting to the use of digital technologies in an effort …

[HTML][HTML] Automated triage system for intensive care admissions during the COVID-19 pandemic using hybrid XGBoost-AHP approach

MA Deif, AAA Solyman, MH Alsharif, P Uthansakul - Sensors, 2021 - mdpi.com
The sudden increase in patients with severe COVID-19 has obliged doctors to make
admissions to intensive care units (ICUs) in health care practices where capacity is …

[HTML][HTML] Bio-activity prediction of drug candidate compounds targeting SARS-Cov-2 using machine learning approaches

FB Ashraf, S Akter, SH Mumu, MU Islam, J Uddin - Plos one, 2023 - journals.plos.org
The SARS-CoV-2 3CLpro protein is one of the key therapeutic targets of interest for COVID-
19 due to its critical role in viral replication, various high-quality protein crystal structures …

The threat of adversarial attack on a COVID-19 CT image-based deep learning system

Y Li, S Liu - Bioengineering, 2023 - mdpi.com
The coronavirus disease 2019 (COVID-19) rapidly spread around the world, and resulted in
a global pandemic. Applying artificial intelligence to COVID-19 research can produce very …

COVID_SCREENET: COVID-19 screening in chest radiography images using deep transfer stacking

R Elakkiya, P Vijayakumar, M Karuppiah - Information Systems Frontiers, 2021 - Springer
Infectious diseases are highly contagious due to rapid transmission and very challenging to
diagnose in the early stage. Artificial Intelligence and Machine Learning now become a …

Gemelli decision tree Algorithm to Predict the need for home monitoring or hospitalization of confirmed and unconfirmed COVID-19 patients (GAP-Covid19) …

G Vetrugno, P Laurenti, F Franceschi, F Foti… - European Review for …, 2021 - ricerca.unich.it
OBJECTIVE: To develop a deep learning-based decision tree for the primary care setting, to
stratify adult patients with confirmed and unconfirmed coronavirus disease 2019 (COVID …

Emerging and re-emerging vector-borne and zoonotic diseases

AJ Rodriguez-Morales, JA Cardona-Ospina… - Frontiers in …, 2021 - frontiersin.org
The Colombian Nobel laureate Gabriel Garcia Marquez stated in his last will,“la muerte no
llega con la vejez, sino con el olvido”(" death does not come with old age, but with oblivion") …