AIMC Topic: Influenza A Virus, H1N1 Subtype

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Artificial intelligence in respiratory pandemics-ready for disease X? A scoping review.

European radiology Nov 21, 2024
OBJECTIVES: This study aims to identify repeated previous shortcomings in medical imaging data collection, curation, and AI-based analysis during the early phase of respiratory pandemics. Based on the results, it seeks to highlight essential steps fo...
Humans Artificial Intelligence Pandemics Influenza, Human Influenza A Virus, H1N1 Subtype Severe Acute Respiratory Syndrome COVID-19 Tomography, X-Ray Computed SARS-CoV-2
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Combining Digital and Molecular Approaches Using Health and Alternate Data Sources in a Next-Generation Surveillance System for Anticipating Outbreaks of Pandemic Potential.

JMIR public health and surveillance Jan 9, 2024
Globally, millions of lives are impacted every year by infectious diseases outbreaks. Comprehensive and innovative surveillance strategies aiming at early alert and timely containment of emerging and reemerging pathogens are a pressing priority. Shor...
Data Science Humans Influenza A Virus, H1N1 Subtype Artificial Intelligence Chromosome Mapping Disease Outbreaks
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DeepFlu: a deep learning approach for forecasting symptomatic influenza A infection based on pre-exposure gene expression.

Computer methods and programs in biomedicine Oct 25, 2021
BACKGROUND AND OBJECTIVE: Not everyone gets sick after an exposure to influenza A viruses (IAV). Although KLRD1 has been identified as a potential biomarker for influenza susceptibility, it remains unclear whether forecasting symptomatic flu infectio...
Influenza, Human Humans Influenza A Virus, H1N1 Subtype Deep Learning Influenza A Virus, H3N2 Subtype Gene Expression
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Artificial Intelligence Applied to Gene Expression Testing (IVIGET) to Predict Trivalent Inactivated Influenza Vaccine Immunogenicity in HIV Infected Children.

Frontiers in immunology Oct 5, 2020
The number of patients affected by chronic diseases with special vaccination needs is burgeoning. In this scenario, predictive markers of immunogenicity, as well as signatures of immune responses are typically missing even though it would especially ...
Immunogenicity, Vaccine Vaccines, Inactivated Hemagglutination Inhibition Tests Influenza, Human Influenza Vaccines Influenza A Virus, H1N1 Subtype Transcriptome HIV Infections Child Computational Biology Vaccination Coinfection Prognosis Reproducibility of Results Gene Expression Profiling Humans Artificial Intelligence
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Convolutional Neural Network Based Approach to in Silico Non-Anticipating Prediction of Antigenic Distance for Influenza Virus.

Viruses Sep 12, 2020
Evaluation of the antigenic similarity degree between the strains of the influenza virus is highly important for vaccine production. The conventional method used to measure such a degree is related to performing the immunological assays of hemaggluti...
Amino Acid Sequence Influenza, Human Influenza A Virus, H1N1 Subtype Humans Neural Networks, Computer Computer Simulation Orthomyxoviridae Antigens, Viral Hemagglutinin Glycoproteins, Influenza Virus
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Anti-pandemic influenza A (H1N1) virus potential of catechin and gallic acid.

Journal of the Chinese Medical Association : JCMA Dec 26, 2017
BACKGROUND: The pandemic influenza A (H1N1) virus has spread worldwide and infected a large proportion of the human population. Discovery of new and effective drugs for the treatment of influenza is a crucial issue for the global medical community. A...
Dogs Influenza A Virus, H1N1 Subtype Madin Darby Canine Kidney Cells Antiviral Agents Humans Catechin Virus Replication A549 Cells Animals Gallic Acid
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Automatically quantifying the scientific quality and sensationalism of news records mentioning pandemics: validating a maximum entropy machine-learning model.

Journal of clinical epidemiology Mar 7, 2016
OBJECTIVE: To develop and validate a method for automatically quantifying the scientific quality and sensationalism of individual news records.
Sensitivity and Specificity Influenza, Human Information Dissemination Influenza A Virus, H1N1 Subtype Mass Media Pandemics Severe Acute Respiratory Syndrome Humans Databases, Factual Machine Learning Reproducibility of Results
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Using Support Vector Machine (SVM) for Classification of Selectivity of H1N1 Neuraminidase Inhibitors.

Molecular informatics Jan 15, 2016
Inhibition of the neuraminidase is one of the most promising strategies for preventing influenza virus spreading. 479 neuraminidase inhibitors are collected for dataset 1 and 208 neuraminidase inhibitors for A/P/8/34 are collected for dataset 2. Usin...
Computer Simulation Antiviral Agents Support Vector Machine Neuraminidase Enzyme Inhibitors Influenza A Virus, H1N1 Subtype Quantitative Structure-Activity Relationship
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Discovery of Influenza A virus neuraminidase inhibitors using support vector machine and Naïve Bayesian models.

Molecular diversity Dec 21, 2015
Neuraminidase (NA) is a critical enzyme in the life cycle of influenza virus, which is known as a successful paradigm in the design of anti-influenza agents. However, to date there are no classification models for the virtual screening of NA inhibito...
Enzyme Inhibitors Drug Discovery Computational Biology Influenza A Virus, H1N1 Subtype Influenza A Virus, H3N2 Subtype Support Vector Machine Bayes Theorem Neuraminidase
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Clinical course of H1N1-vaccine-related narcolepsy.

Sleep medicine Nov 25, 2015
OBJECTIVE: To follow and analyze the clinical course and quality of life of Pandemrix H1N1-vaccine-related narcolepsy (pNT1).
Adolescent Influenza, Human Influenza Vaccines Female Male Humans Polysomnography Influenza A Virus, H1N1 Subtype Surveys and Questionnaires Narcolepsy Orexins
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