AIMC Topic:
SARS-CoV-2

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Artificial Intelligence Methods in Infection Biology Research.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2025
Despite unprecedented achievements, the domain-specific application of artificial intelligence (AI) in the realm of infection biology was still in its infancy just a couple of years ago. This is largely attributable to the proneness of the infection ...
Humans Artificial Intelligence COVID-19 SARS-CoV-2
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Machine learning-based sales forecasting during crises: Evidence from a Turkish women's clothing retailer.

Science progress Jan 1, 2025
BACKGROUND: Retail involves directly delivering goods and services to end consumers. Natural disasters and epidemics/pandemics have significant potential to disrupt supply chains, leading to shortages, forecasting errors, price increases, and substan...
Clothing COVID-19 Consumer Behavior Algorithms Commerce Forecasting Humans Machine Learning Pandemics Female SARS-CoV-2 Turkey
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EACVP: An ESM-2 LM Framework Combined CNN and CBAM Attention to Predict Anti-coronavirus Peptides.

Current medicinal chemistry Jan 1, 2025
BACKGROUND: The novel coronavirus pneumonia (COVID-19) outbreak in late 2019 killed millions worldwide. Coronaviruses cause diseases such as severe acute respiratory syndrome (SARS-CoV) and SARS-CoV-2. Many peptides in the host defense system have an...
Humans Neural Networks, Computer Peptides Antiviral Agents COVID-19 Drug Treatment Machine Learning COVID-19 SARS-CoV-2
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TPepRet: a deep learning model for characterizing T-cell receptors-antigen binding patterns.

Bioinformatics (Oxford, England) Dec 26, 2024
MOTIVATION: T-cell receptors (TCRs) elicit and mediate the adaptive immune response by recognizing antigenic peptides, a process pivotal for cancer immunotherapy, vaccine design, and autoimmune disease management. Understanding the intricate binding ...
COVID-19 SARS-CoV-2 Peptides Humans Computational Biology Deep Learning Receptors, Antigen, T-Cell Protein Binding
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DeepPFP: a multi-task-aware architecture for protein function prediction.

Briefings in bioinformatics Nov 22, 2024
Deriving protein function from protein sequences poses a significant challenge due to the intricate relationship between sequence and function. Deep learning has made remarkable strides in predicting sequence-function relationships. However, models t...
Databases, Protein Humans Deep Learning COVID-19 Computational Biology SARS-CoV-2 Proteins
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Explainable deep neural networks for predicting sample phenotypes from single-cell transcriptomics.

Briefings in bioinformatics Nov 22, 2024
Recent advances in single-cell RNA-Sequencing (scRNA-Seq) technologies have revolutionized our ability to gather molecular insights into different phenotypes at the level of individual cells. The analysis of the resulting data poses significant chall...
Phenotype SARS-CoV-2 Gene Expression Profiling Transcriptome Deep Learning Single-Cell Analysis Neural Networks, Computer Humans Alzheimer Disease Sequence Analysis, RNA COVID-19 Lupus Erythematosus, Systemic Algorithms
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ML-Based Framework to Predict the Severity of the Symptomatology in Patients with Post-Acute COVID-19 Syndrome.

Studies in health technology and informatics Nov 22, 2024
The paper describes a cohort of patients with post-acute COVID-19 syndrome, evaluated for the first time between week 3 and week 12 from the onset of symptoms following the acute COVID-19 infection. The patient's baseline clinical features were used ...
Severity of Illness Index Post-Acute COVID-19 Syndrome Middle Aged COVID-19 Comorbidity Female SARS-CoV-2 Humans Aged Machine Learning Adult Male
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Integrating Contact Tracing Data to Enhance Outbreak Phylodynamic Inference: A Deep Learning Approach.

Molecular biology and evolution Nov 1, 2024
Phylodynamics is central to understanding infectious disease dynamics through the integration of genomic and epidemiological data. Despite advancements, including the application of deep learning to overcome computational limitations, significant cha...
Contact Tracing COVID-19 SARS-CoV-2 Disease Outbreaks Phylogeny Deep Learning Hong Kong Humans
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DEEP LEARNING-BASED FRAMEWORK TO DETERMINE THE DEGREE OF COVID-19 INFECTIONS FROM CHEST X-RAY.

Georgian medical news Oct 1, 2024
The corona virus disease-19 (COVID-19) epidemic, the whole globe is suffering from a medical condition catastrophe that is unprecedented in scale. As the coronavirus spreads, scientists are worried about offering or helping in the supply of remedies ...
SARS-CoV-2 Humans Deep Learning COVID-19 Radiography, Thoracic
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Implementing an artificial intelligence command centre in the NHS: a mixed-methods study.

Health and social care delivery research Oct 1, 2024
BACKGROUND: Hospital 'command centres' use digital technologies to collect, analyse and present real-time information that may improve patient flow and patient safety. Bradford Royal Infirmary has trialled this approach and presents an opportunity to...
United Kingdom Humans State Medicine COVID-19 Artificial Intelligence Hospitals, Teaching Qualitative Research Patient Safety Interviews as Topic SARS-CoV-2
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