AIMC Topic:
SARS-CoV-2

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Analysis of Critical Incident Reports Using Natural Language Processing.

Studies in health technology and informatics Apr 26, 2024
UNLABELLED: A Critical Incident Reporting System (CIRS) collects anecdotal reports from employees, which serve as a vital source of information about incidents that could potentially harm patients.
SARS-CoV-2 Natural Language Processing Risk Management Switzerland Medical Errors Humans COVID-19
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Development of a machine learning model and nomogram to predict seizures in children with COVID-19: a two-center study.

Journal of tropical pediatrics Apr 5, 2024
OBJECTIVE: This study aimed to use machine learning to evaluate the risk factors of seizures and develop a model and nomogram to predict seizures in children with coronavirus disease 2019 (COVID-19).
SARS-CoV-2 Risk Factors Male Machine Learning COVID-19 Female ROC Curve Logistic Models Nomograms Seizures Humans Infant Child, Preschool Child
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Genotypic-phenotypic landscape computation based on first principle and deep learning.

Briefings in bioinformatics Mar 27, 2024
The relationship between genotype and fitness is fundamental to evolution, but quantitatively mapping genotypes to fitness has remained challenging. We propose the Phenotypic-Embedding theorem (P-E theorem) that bridges genotype-phenotype through an ...
Deep Learning Genotype Computational Biology Algorithms Phenotype SARS-CoV-2 Genetic Fitness Humans COVID-19
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[Identifying Novel Coronavirus Pneumonia With CT Images: A Deep Learning Approach With Detail Upsampling and Attention Guidance].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition Mar 20, 2024
OBJECTIVE: To construct a deep learning-based target detection method to help radiologists perform rapid diagnosis of lesions in the CT images of patients with novel coronavirus pneumonia (NCP) by restoring detailed information and mining local infor...
COVID-19 Algorithms Tomography, X-Ray Computed SARS-CoV-2 Humans Pandemics Pneumonia, Viral Deep Learning Coronavirus Infections Betacoronavirus
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Protein-protein and protein-nucleic acid binding site prediction via interpretable hierarchical geometric deep learning.

GigaScience Jan 2, 2024
Identification of protein-protein and protein-nucleic acid binding sites provides insights into biological processes related to protein functions and technical guidance for disease diagnosis and drug design. However, accurate predictions by computati...
Nucleic Acids Humans Binding Sites Neural Networks, Computer Protein Binding Spike Glycoprotein, Coronavirus Computational Biology COVID-19 SARS-CoV-2 Deep Learning
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Advanced Lung Disease Detection: CBAM-Augmented, Lightweight EfficientNetB2 with Visual Insights.

Current medical imaging Jan 1, 2024
INTRODUCTION: This paper presents a multichannel deep-learning method for detecting lung diseases using chest X-ray images. Using EfficientNetB0 through EfficientNetB7 pretrained models, the methodology offers improved performance in classifying COVI...
Radiography, Thoracic Deep Learning Humans Pneumonia, Viral Radiographic Image Interpretation, Computer-Assisted COVID-19 Lung Diseases SARS-CoV-2
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Pneumonia detection on chest X-rays from Xception-based transfer learning and logistic regression.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
Pneumonia is a dangerous disease that kills millions of children and elderly patients worldwide every year. The detection of pneumonia from a chest x-ray is perpetrated by expert radiologists. The chest x-ray is cheaper and is most often used to diag...
Radiography, Thoracic Machine Learning Humans COVID-19 Logistic Models SARS-CoV-2 Support Vector Machine Pneumonia
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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...
SARS-CoV-2 Drug Design Drug Discovery Drug Development COVID-19 Drug Treatment Neural Networks, Computer Artificial Intelligence COVID-19 Humans
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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...
Humans Nanoparticles Lipids Ethanol Lab-On-A-Chip Devices Machine Learning Particle Size Bayes Theorem SARS-CoV-2 Liposomes RNA, Messenger
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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 Thorax Betacoronavirus Pneumonia, Viral SARS-CoV-2 Deep Learning Image Processing, Computer-Assisted COVID-19 Neural Networks, Computer Algorithms Pandemics Tomography, X-Ray Computed Humans
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