AIMC Topic: SARS-CoV-2

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Leveraging Artificial Intelligence for Synergies in Drug Discovery: From Computers to Clinics.

Current pharmaceutical design Jan 1, 2024
Over the period of the preceding decade, artificial intelligence (AI) has proved an outstanding performance in entire dimensions of science including pharmaceutical sciences. AI uses the concept of machine learning (ML), deep learning (DL), and neura...
Humans Drug Discovery COVID-19 Neural Networks, Computer Artificial Intelligence Drug Development SARS-CoV-2 Drug Design COVID-19 Drug Treatment
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Understanding the Manufacturing Process of Lipid Nanoparticles for mRNA Delivery Using Machine Learning.

Chemical & pharmaceutical bulletin Jan 1, 2024
Lipid nanoparticles (LNPs), used for mRNA vaccines against severe acute respiratory syndrome coronavirus 2, protect mRNA and deliver it into cells, making them an essential delivery technology for RNA medicine. The LNPs manufacturing process consists...
Lipids Bayes Theorem Liposomes Lab-On-A-Chip Devices Nanoparticles Ethanol Particle Size Machine Learning SARS-CoV-2 RNA, Messenger Humans
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DKCNN: Improving deep kernel convolutional neural network-based COVID-19 identification from CT images of the chest.

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: An efficient deep convolutional neural network (DeepCNN) is proposed in this article for the classification of Covid-19 disease.
Coronavirus Infections Neural Networks, Computer Thorax SARS-CoV-2 Pandemics Humans Betacoronavirus Pneumonia, Viral COVID-19 Deep Learning Algorithms Image Processing, Computer-Assisted Tomography, X-Ray Computed
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DDA-SSNets: Dual decoder attention-based semantic segmentation networks for COVID-19 infection segmentation and classification using chest X-Ray images.

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: COVID-19 needs to be diagnosed and staged to be treated accurately. However, prior studies' diagnostic and staging abilities for COVID-19 infection needed to be improved. Therefore, new deep learning-based approaches are required to aid r...
Semantics Radiography, Thoracic Betacoronavirus Pneumonia, Viral Neural Networks, Computer Lung COVID-19 Pandemics Deep Learning Algorithms Coronavirus Infections Humans SARS-CoV-2
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Combating COVID-19 Crisis using Artificial Intelligence (AI) Based Approach: Systematic Review.

Current topics in medicinal chemistry Jan 1, 2024
BACKGROUND: SARS-CoV-2, the unique coronavirus that causes COVID-19, has wreaked damage around the globe, with victims displaying a wide range of difficulties that have encouraged medical professionals to look for innovative technical solutions and t...
Drug Development COVID-19 Drug Treatment SARS-CoV-2 Antiviral Agents COVID-19 Vaccines Artificial Intelligence COVID-19 Humans
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Diagnosis of Covid-19 from CT slices using Whale Optimization Algorithm, Support Vector Machine and Multi-Layer Perceptron.

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: The coronavirus disease 2019 is a serious and highly contagious disease caused by infection with a newly discovered virus, named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).
Humans Tomography, X-Ray Computed SARS-CoV-2 Animals Support Vector Machine Neural Networks, Computer COVID-19 Algorithms COVID-19 Testing Whales
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Determination of Novel SARS-CoV-2 Inhibitors by Combination of Machine Learning and Molecular Modeling Methods.

Medicinal chemistry (Shariqah (United Arab Emirates)) Jan 1, 2024
INTRODUCTION: Within the scope of the project, this study aimed to find novel inhibitors by combining computational methods. In order to design inhibitors, it was aimed to produce molecules similar to the RdRp inhibitor drug Favipiravir by using the ...
SARS-CoV-2 Peptide Hydrolases Molecular Docking Simulation RNA-Dependent RNA Polymerase Molecular Dynamics Simulation Antiviral Agents Artificial Intelligence Protease Inhibitors Machine Learning Amides Humans COVID-19 Pyrazines
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Application of artificial intelligence for the classification of the clinical outcome and therapy in patients with viral infections: The case of COVID-19.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: With the end of the coronavirus disease 2019 (COVID-19) pandemic, it becomes intriguing to observe the impact of innovative digital technologies on the diagnosis and management of diseases, in order to improve clinical outcomes for patien...
Neural Networks, Computer Artificial Intelligence COVID-19 Humans Male Middle Aged Severity of Illness Index Deep Learning Female SARS-CoV-2 Adult
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Unraveling viral drug targets: a deep learning-based approach for the identification of potential binding sites.

Briefings in bioinformatics Nov 22, 2023
The coronavirus disease 2019 (COVID-19) pandemic has spurred a wide range of approaches to control and combat the disease. However, selecting an effective antiviral drug target remains a time-consuming challenge. Computational methods offer a promisi...
Spike Glycoprotein, Coronavirus Molecular Dynamics Simulation Binding Sites Deep Learning Humans Protein Binding COVID-19 Antibodies, Viral SARS-CoV-2
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Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites.

Bioinformatics (Oxford, England) Nov 1, 2023
MOTIVATION: The rapid and extensive transmission of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to an unprecedented global health emergency, affecting millions of people and causing an immense socioeconomic impact. The id...
Algorithms SARS-CoV-2 Phosphorylation Humans Neural Networks, Computer COVID-19
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