AIMC Topic: COVID-19

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A hybrid inception-dilated-ResNet architecture for deep learning-based prediction of COVID-19 severity.

Scientific reports Feb 22, 2025
Chest computed tomography (CT) scans are essential for accurately assessing the severity of the novel Coronavirus (COVID-19), facilitating appropriate therapeutic interventions and monitoring disease progression. However, determining COVID-19 severit...
Severity of Illness Index COVID-19 SARS-CoV-2 Deep Learning Tomography, X-Ray Computed Male Female Lung Humans Neural Networks, Computer
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Predicting sleep quality among college students during COVID-19 lockdown using a LASSO-based neural network model.

BMC public health Feb 21, 2025
BACKGROUND: In March 2022, a new outbreak of COVID-19 emerged in Quanzhou, leading to the implementation of strict lockdown management measures in colleges. While existing research has indicated that the pandemic has had a significant impact on sleep...
Students China Surveys and Questionnaires Sleep Quality Quarantine Adolescent Universities Adult Cross-Sectional Studies Male COVID-19 Female Young Adult Humans Sleep Wake Disorders Neural Networks, Computer
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Disease diagnostics using machine learning of B cell and T cell receptor sequences.

Science (New York, N.Y.) Feb 21, 2025
Clinical diagnosis typically incorporates physical examination, patient history, various laboratory tests, and imaging studies but makes limited use of the human immune system's own record of antigen exposures encoded by receptors on B cells and T ce...
Diabetes Mellitus, Type 1 Lupus Erythematosus, Systemic B-Lymphocytes Infections COVID-19 Receptors, Antigen, B-Cell HIV Infections Humans SARS-CoV-2 Receptors, Antigen, T-Cell Autoimmune Diseases Machine Learning Influenza, Human
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RAG_MCNNIL6: A Retrieval-Augmented Multi-Window Convolutional Network for Accurate Prediction of IL-6 Inducing Epitopes.

Journal of chemical information and modeling Feb 19, 2025
Interleukin-6 (IL-6) is a critical cytokine involved in immune regulation, inflammation, and the pathogenesis of various diseases, including autoimmune disorders, cancer, and the cytokine storm associated with severe COVID-19. Identifying IL-6 induci...
Epitopes Interleukin-6 SARS-CoV-2 Deep Learning Humans Neural Networks, Computer COVID-19
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Identification of biomarkers in Alzheimer's disease and COVID-19 by bioinformatics combining single-cell data analysis and machine learning algorithms.

PloS one Feb 18, 2025
BACKGROUND: Since its emergence in 2019, COVID-19 has become a global epidemic. Several studies have suggested a link between Alzheimer's disease (AD) and COVID-19. However, there is little research into the mechanisms underlying these phenomena. The...
Gene Expression Profiling Gene Ontology Transcriptome Single-Cell Analysis Gene Regulatory Networks Metabolic Networks and Pathways Humans Computational Biology Alzheimer Disease Machine Learning COVID-19 Algorithms Biomarkers SARS-CoV-2
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Using Machine Learning and Optical Microscopy Image Analysis of Immunosensors Made on Plasmonic Substrates: Application to Detect the SARS-CoV-2 Virus.

ACS sensors Feb 17, 2025
In this article, we introduce a diagnostic platform comprising an optical microscopy image analysis system coupled with machine learning. Its efficacy is demonstrated in detecting SARS-CoV-2 virus particles at concentrations as low as 1 PFU (plaque-f...
Surface Plasmon Resonance Microscopy Biosensing Techniques Support Vector Machine Immunoassay Humans Neural Networks, Computer SARS-CoV-2 Image Processing, Computer-Assisted Machine Learning COVID-19
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RNA-protein interaction prediction using network-guided deep learning.

Communications biology Feb 16, 2025
Accurate computational determination of RNA-protein interactions remains challenging, particularly when encountering unknown RNAs and proteins. The limited number of RNAs and their flexibility constrained the effectiveness of the deep-learning models...
Humans Deep Learning Computational Biology RNA-Binding Proteins RNA, Viral Neural Networks, Computer COVID-19 SARS-CoV-2 RNA
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Using a multi-strain infectious disease model with physical information neural networks to study the time dependence of SARS-CoV-2 variants of concern.

PLoS computational biology Feb 14, 2025
With the ongoing evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its increasing adaptation to humans, several variants of concern (VOCs) and variants of interest (VOIs) have been identified since late 2020. These include...
SARS-CoV-2 COVID-19 Computational Biology British Columbia Algorithms Models, Biological Humans Computer Simulation Neural Networks, Computer
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Unraveling microglial spatial organization in the developing human brain with DeepCellMap, a deep learning approach coupled with spatial statistics.

Nature communications Feb 13, 2025
Mapping cellular organization in the developing brain presents significant challenges due to the multidimensional nature of the data, characterized by complex spatial patterns that are difficult to interpret without high-throughput tools. Here, we pr...
Image Processing, Computer-Assisted Microglia Blood Vessels Female SARS-CoV-2 Deep Learning Humans COVID-19 Brain
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Understanding the Engagement and Interaction of Superusers and Regular Users in UK Respiratory Online Health Communities: Deep Learning-Based Sentiment Analysis.

Journal of medical Internet research Feb 13, 2025
BACKGROUND: Online health communities (OHCs) enable people with long-term conditions (LTCs) to exchange peer self-management experiential information, advice, and support. Engagement of "superusers," that is, highly active users, plays a key role in ...
Humans Asthma COVID-19 Social Media Deep Learning United Kingdom SARS-CoV-2 Self-Management
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