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SARS-CoV-2 - AI Medical Compendium

AIMC Topic: SARS-CoV-2

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Wasserstein GAN based Chest X-Ray Dataset Augmentation for Deep Learning Models: COVID-19 Detection Use-Case.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
The novel coronavirus infection (COVID-19) is still continuing to be a concern for the entire globe. Since early detection of COVID-19 is of particular importance, there have been multiple research efforts to supplement the current standard RT-PCR te...
X-Rays Humans Deep Learning COVID-19 Radiography SARS-CoV-2
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Diagnosis of coronavirus disease 2019 and the potential role of deep learning: insights from the experience of Cairo University Hospitals.

The Journal of international medical research Jul 1, 2022
OBJECTIVES: Early detection of coronavirus disease 2019 (COVID-19) is crucial for patients and public health to ensure pandemic control. We aimed to correlate clinical and laboratory data of patients with COVID-19 and their polymerase chain reaction ...
COVID-19 Retrospective Studies SARS-CoV-2 Deep Learning Humans Hospitals, University Neutropenia Anosmia Ferritins
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The Pitfalls of Using Open Data to Develop Deep Learning Solutions for COVID-19 Detection in Chest X-Rays.

Studies in health technology and informatics Jun 6, 2022
Since the emergence of COVID-19, deep learning models have been developed to identify COVID-19 from chest X-rays. With little to no direct access to hospital data, the AI community relies heavily on public data comprising numerous data sources. Model...
Humans COVID-19 Radiography X-Rays SARS-CoV-2 Deep Learning
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D3AI-CoV: a deep learning platform for predicting drug targets and for virtual screening against COVID-19.

Briefings in bioinformatics May 13, 2022
Target prediction and virtual screening are two powerful tools of computer-aided drug design. Target identification is of great significance for hit discovery, lead optimization, drug repurposing and elucidation of the mechanism. Virtual screening ca...
COVID-19 Drug Treatment SARS-CoV-2 Molecular Docking Simulation Antiviral Agents Drug Repositioning Deep Learning Humans
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Deep learning based on biologically interpretable genome representation predicts two types of human adaptation of SARS-CoV-2 variants.

Briefings in bioinformatics May 13, 2022
Explosively emerging SARS-CoV-2 variants challenge current nomenclature schemes based on genetic diversity and biological significance. Genomic composition-based machine learning methods have recently performed well in identifying phenotype-genotype ...
COVID-19 SARS-CoV-2 Deep Learning Humans Mutation Child Spike Glycoprotein, Coronavirus
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Potential SARS-CoV-2 nonstructural proteins inhibitors: drugs repurposing with drug-target networks and deep learning.

Frontiers in bioscience (Landmark edition) Apr 1, 2022
BACKGROUND: In the current COVID-19 pandemic, with an absence of approved drugs and widely accessible vaccines, repurposing existing drugs is vital to quickly developing a treatment for the disease.
Network Pharmacology COVID-19 Drug Treatment Pandemics Viral Proteins SARS-CoV-2 Humans Molecular Docking Simulation Deep Learning Drug Repositioning
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Rapid SARS-CoV-2 Inactivation in a Simulated Hospital Room Using a Mobile and Autonomous Robot Emitting Ultraviolet-C Light.

The Journal of infectious diseases Feb 15, 2022
The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) since 2019 has made mask-wearing, physical distancing, hygiene, and disinfection complementary measures to control virus transmission. Especially for health facilities, we eva...
Humans SARS-CoV-2 Hospitals COVID-19 Virus Inactivation Robotics Ultraviolet Rays Sterilization
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Active disease-related compound identification based on capsule network.

Briefings in bioinformatics Jan 17, 2022
Pneumonia, especially corona virus disease 2019 (COVID-19), can lead to serious acute lung injury, acute respiratory distress syndrome, multiple organ failure and even death. Thus it is an urgent task for developing high-efficiency, low-toxicity and ...
Drug Delivery Systems COVID-19 Humans SARS-CoV-2 Antiviral Agents COVID-19 Drug Treatment Neural Networks, Computer Models, Biological
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A deep learning method for repurposing antiviral drugs against new viruses via multi-view nonnegative matrix factorization and its application to SARS-CoV-2.

Briefings in bioinformatics Jan 17, 2022
The outbreak of COVID-19 caused by SARS-coronavirus (CoV)-2 has made millions of deaths since 2019. Although a variety of computational methods have been proposed to repurpose drugs for treating SARS-CoV-2 infections, it is still a challenging task f...
Molecular Docking Simulation Humans COVID-19 Antiviral Agents Deep Learning COVID-19 Drug Treatment Drug Repositioning SARS-CoV-2
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Computational anti-COVID-19 drug design: progress and challenges.

Briefings in bioinformatics Jan 17, 2022
Vaccines have made gratifying progress in preventing the 2019 coronavirus disease (COVID-19) pandemic. However, the emergence of variants, especially the latest delta variant, has brought considerable challenges to human health. Hence, the developmen...
COVID-19 Drug Treatment Drug Design Humans Antiviral Agents Machine Learning COVID-19 SARS-CoV-2
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