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Rapid diagnostics of coronavirus disease 2019 in early stages using nanobiosensors: Challenges and opportunities
(
Elsevier B.V.
, 2021 , Article Review)
The rapid outbreak of coronavirus disease 2019 (COVID-19) around the world is a tragic and shocking event that demonstrates the unpreparedness of humans to develop quick diagnostic platforms for novel infectious diseases. ...
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images
(
Elsevier
, 2021 , Article)
Computer-aided diagnosis for the reliable and fast detection of coronavirus disease (COVID-19) has become a necessity to prevent the spread of the virus during the pandemic to ease the burden on the healthcare system. Chest ...
A secure cloud system for maintaining COVID-19 patient's data using image steganography
(
Hamad bin Khalifa University Press (HBKU Press)
, 2021 , Article)
The COVID-19 pandemic has been life-threatening for many people and as such, a contactless medical system is necessary to prevent the spread of the virus. Smart healthcare systems collect data from patients at one end and ...
Machine learning screening of COVID-19 patients based on X-ray images for unbalanced classes
(
Hamad bin Khalifa University Press (HBKU Press)
, 2021 , Article)
Background: COVID-19 is a pandemic that had already infected more than forty-six million people and caused more than a million deaths by 1st of November 2020. The virus pandemic appears to have had a catastrophic effect ...
COVID-19 infection localization and severity grading from chest X-ray images
(
Elsevier Ltd
, 2021 , Article)
The immense spread of coronavirus disease 2019 (COVID-19) has left healthcare systems incapable to diagnose and test patients at the required rate. Given the effects of COVID-19 on pulmonary tissues, chest radiographic ...
Exploring the interaction of quercetin-3-O-sophoroside with SARS-CoV-2 main proteins by theoretical studies: A probable prelude to control some variants of coronavirus including Delta
(
Elsevier B.V.
, 2021 , Article)
The aim of this study was to investigate the mechanism of interaction between quercetin-3-O-sophoroside and different SARS-CoV-2?s proteins which can bring some useful details about the control of different variants of ...
Forecast of the outbreak of COVID-19 using artificial neural network: Case study Qatar, Spain, and Italy
(
Elsevier B.V.
, 2021 , Article)
The present study illustrates the outbreak prediction and analysis on the growth and expansion of the COVID-19 pandemic using artificial neural network (ANN). The first wave of the pandemic outbreak of the novel Coronavirus ...
A novel pandemic tracking map: From theory to implementation
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
The wide spread of the novel COVID-19 virus all over the world has caused major economical and social damages combined with the death of more than two million people so far around the globe. Therefore, the design of a model ...
A review of mathematical model-based scenario analysis and interventions for COVID-19
(
Elsevier
, 2021 , Article)
Mathematical model-based analysis has proven its potential as a critical tool in the battle against COVID-19 by enabling better understanding of the disease transmission dynamics, deeper analysis of the cost-effectiveness ...
A novel pandemic tracking map: From theory to implementation
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
The wide spread of the novel COVID-19 virus all over the world has caused major economical and social damages combined with the death of more than two million people so far around the globe. Therefore, the design of a model ...