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The expression level of angiotensin-converting enzyme 2 determines the severity of COVID-19: lung and heart tissue as targets
(
Taylor and Francis Ltd.
, 2020 , Article)
Researchers have reported some useful information about the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) leading to CoV disease 2019 (COVID-19). Several studies have been performed in order to develop ...
Evaluating the effects of sodium glucose co-transporter -2 inhibitors from a renin–angiotensin–aldosterone system perspective in patients infected with COVID-19: contextualizing findings from the dapagliflozin in respiratory failure in patients with COVID-19 study
(
Springer
, 2022 , Article Review)
Numerous studies demonstrate parallels between CVD, type 2 diabetes mellitus (T2DM) and COVID-19 pathology, which accentuate pre-existing complications in patients infected with COVID-19 and potentially exacerbate the infection ...
Pandemic COVID-19 caused by SARS-CoV-2: genetic structure, vaccination, and therapeutic approaches
(
Springer
, 2021 , Article Review)
We give a summary of SARS-genetic CoV-2’s structure and evolution, as well as current attempts to develop efficient vaccine and treatment methods for SARS-CoV-2 infection, in this article. Most therapeutic strategies are ...
OSEGNET: OPERATIONAL SEGMENTATION NETWORK FOR COVID-19 DETECTION USING CHEST X-RAY IMAGES
(
IEEE
, 2022 , Conference Paper)
Coronavirus disease 2019 (COVID-19) has been diagnosed automatically using Machine Learning algorithms over chest X-ray (CXR) images. However, most of the earlier studies used Deep Learning models over scarce datasets ...
RELIABLE COVID-19 DETECTION USING CHEST X-RAY IMAGES
(
IEEE Computer Society
, 2021 , Conference Paper)
Coronavirus disease 2019 (COVID-19) has emerged the need for computer-aided diagnosis with automatic, accurate, and fast algorithms. Recent studies have applied Machine Learning algorithms for COVID-19 diagnosis over chest ...
PCovNet: A presymptomatic COVID-19 detection framework using deep learning model using wearables data
(
Elsevier
, 2022 , Article)
While the advanced diagnostic tools and healthcare management protocols have been struggling to contain the COVID-19 pandemic, the spread of the contagious viral pathogen before the symptom onset acted as the Achilles' ...
A comprehensive review of COVID-19 detection techniques: From laboratory systems to wearable devices
(
Elsevier
, 2022 , Article Review)
Screening of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among symptomatic and asymptomatic patients offers unique opportunities for curtailing the transmission of novel coronavirus disease 2019, commonly ...
Consumer approach intentions amid COVID-19: the role of safety compliance and perceived risk
(
Emerald
, 2021 , Article)
Purpose: This study aims to investigate how employee and other-consumer safety compliance amid the COVID-19 outbreak influences a focal consumer’s intention to approach a service establishment. The study also examines the ...
Blockchain for decentralized multi-drone to combat COVID-19 and future pandemics: Framework and proposed solutions
(
John Wiley and Sons Inc
, 2021 , Article)
Currently, drones represent a promising technology for combating Coronavirus disease 2019 (COVID-19) due to the transport of goods, medical supplies to a given target location in the quarantine areas experiencing an epidemic ...
Et-moone and marketing relationship governance: The effect of digital transformation and ICT during the COVID-19 pandemic
(
Elsevier
, 2021 , Article)
This study aims to examine the drivers and impact of et-moone on relational governance within B2B relationships in the Arab Asian region. Building on commitment and trust theory, this study proposes how et-moone could be ...