AIMC Topic: Influenza Vaccines

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SIMON, an Automated Machine Learning System, Reveals Immune Signatures of Influenza Vaccine Responses.

Journal of immunology (Baltimore, Md. : 1950) Jun 14, 2019
Machine learning holds considerable promise for understanding complex biological processes such as vaccine responses. Capturing interindividual variability is essential to increase the statistical power necessary for building more accurate predictive...
CD4-Positive T-Lymphocytes Influenza, Human Data Mining Influenza Vaccines Child Vaccination CD8-Positive T-Lymphocytes Datasets as Topic T-Lymphocyte Subsets Machine Learning Algorithms Female Young Adult Adult Male Adolescent Humans
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Structured illumination microscopy combined with machine learning enables the high throughput analysis and classification of virus structure.

eLife Dec 13, 2018
Optical super-resolution microscopy techniques enable high molecular specificity with high spatial resolution and constitute a set of powerful tools in the investigation of the structure of supramolecular assemblies such as viruses. Here, we report o...
Automation Orthomyxoviridae Vaccines, Attenuated Microscopy, Fluorescence Influenza Vaccines Newcastle disease virus Machine Learning Algorithms Image Processing, Computer-Assisted
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Immunogenicity of Concentrated and Purified Inactivated Avian Influenza Vaccine Formulation.

Archives of Razi Institute Dec 1, 2018
Avian influenza (AI) H9N2 is a low pathogenic virus subtype belonging to Orthomyxoviridae family. Given the prevalence of this subtype as an infectious agent in poultry industry, special attention has been always directed toward the development of va...
Vaccines, Inactivated Chickens Influenza Vaccines Influenza A Virus, H9N2 Subtype Animals Influenza in Birds Poultry Diseases Immunogenicity, Vaccine
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Selenium supplementation has beneficial and detrimental effects on immunity to influenza vaccine in older adults.

Clinical nutrition (Edinburgh, Scotland) Dec 24, 2015
BACKGROUND & AIMS: Mortality resulting from influenza (flu) virus infections occurs primarily in the elderly through declining immunity. Studies in mice have suggested beneficial effects of selenium (Se) supplementation on immunity to flu but similar...
Influenza, Human Humans Influenza Vaccines Cytokines Immunoglobulins Immunoglobulin A Middle Aged Dose-Response Relationship, Drug Diet Dietary Supplements Selenium Double-Blind Method Immunity, Cellular Saliva Female Antibodies, Viral T-Lymphocytes Cell Proliferation Male Body Mass Index
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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).
Orexins Polysomnography Influenza Vaccines Humans Influenza A Virus, H1N1 Subtype Female Narcolepsy Male Surveys and Questionnaires Adolescent Influenza, Human
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Humanoid robotics in health care: An exploration of children's and parents' emotional reactions.

Journal of health psychology Oct 18, 2013
A new non-pharmacological method of distraction was tested with 57 children during their annual flu vaccination. Given children's growing enthusiasm for technological devices, a humanoid robot was programmed to interact with them while a nurse admini...
Humans Female Adult Analysis of Variance Memory Adaptation, Psychological Crying Smiling Parents Emotions Robotics Influenza Vaccines Male Child, Preschool Child
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Optimizing influenza vaccine allocation: A predictive analytics approach for informed public health planning.

American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists May 21, 2025
PURPOSE: Excessive purchasing of influenza vaccine can lead to costly overages and waste of resources. Insufficient quantities, however, can jeopardize population health. Our project aimed to use predictive analytics to determine the influenza vaccin...
Public Health Influenza, Human Influenza Vaccines Health Planning Humans Algorithms Retrospective Studies
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Extracting postmarketing adverse events from safety reports in the vaccine adverse event reporting system (VAERS) using deep learning.

Journal of the American Medical Informatics Association : JAMIA Jul 14, 2021
OBJECTIVE: Automated analysis of vaccine postmarketing surveillance narrative reports is important to understand the progression of rare but severe vaccine adverse events (AEs). This study implemented and evaluated state-of-the-art deep learning algo...
Computer Systems United States Influenza Vaccines Adverse Drug Reaction Reporting Systems Guillain-Barre Syndrome Humans Deep Learning
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The risk of racial bias while tracking influenza-related content on social media using machine learning.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: Machine learning is used to understand and track influenza-related content on social media. Because these systems are used at scale, they have the potential to adversely impact the people they are built to help. In this study, we explore t...
Racism Machine Learning Support Vector Machine Social Media Influenza, Human Influenza Vaccines Datasets as Topic Black or African American Humans Neural Networks, Computer
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Time series computational prediction of vaccines for influenza A H3N2 with recurrent neural networks.

Journal of bioinformatics and computational biology Feb 1, 2020
Influenza viruses are persistently threatening public health, causing annual epidemics and sporadic pandemics due to rapid viral evolution. Vaccines are used to prevent influenza infections but the composition of the influenza vaccines have to be upd...
Neural Networks, Computer Computational Biology Epitopes Influenza, Human Humans Influenza A Virus, H3N2 Subtype Interrupted Time Series Analysis Influenza Vaccines Mutation Rate Viral Proteins
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