AIMC Topic: Hemagglutination Inhibition Tests

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Leveraging pre-vaccination antibody titres across multiple influenza H3N2 variants to forecast the post-vaccination response.

EBioMedicine May 26, 2025
BACKGROUND: Despite decades of research on the influenza virus, we still lack a predictive understanding of how vaccination reshapes each person's antibody response, which impedes efforts to design better vaccines. Models using pre-vaccination antibo...
Adolescent Humans Child Antibodies, Viral Female Male Adult Machine Learning Middle Aged Influenza Vaccines Influenza A Virus, H3N2 Subtype Hemagglutination Inhibition Tests Vaccination Influenza, Human
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Evaluation of Different Machine Learning Approaches to Predict Antigenic Distance Among Newcastle Disease Virus (NDV) Strains.

Viruses Apr 14, 2025
Newcastle disease virus (NDV) continues to present a significant challenge for vaccination due to its rapid evolution and the emergence of new variants. Although molecular and sequence data are now quickly and inexpensively produced, genetic distance...
Machine Learning Animals Chickens HN Protein Hemagglutination Inhibition Tests Antigenic Variation Newcastle Disease Newcastle disease virus Antigens, Viral
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Development, study, and comparison of models of cross-immunity to the influenza virus using statistical methods and machine learning.

Voprosy virusologii Sep 26, 2024
INTRODUCTION: The World Health Organization considers the values of antibody titers in the hemagglutination inhibition assay as one of the most important criteria for assessing successful vaccination. Mathematical modeling of cross-immunity allows fo...
Influenza, Human Seasons Influenza Vaccines Antibodies, Viral Vaccination Cross Reactions Hemagglutination Inhibition Tests Humans Machine Learning
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Seasonal antigenic prediction of influenza A H3N2 using machine learning.

Nature communications May 7, 2024
Antigenic characterization of circulating influenza A virus (IAV) isolates is routinely assessed by using the hemagglutination inhibition (HI) assays for surveillance purposes. It is also used to determine the need for annual influenza vaccine update...
Hemagglutinin Glycoproteins, Influenza Virus Hemagglutination Inhibition Tests Antigenic Variation Influenza Vaccines Antigens, Viral Influenza A Virus, H3N2 Subtype Influenza, Human Seasons Humans Machine Learning
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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 ...
Artificial Intelligence Gene Expression Profiling Immunogenicity, Vaccine Prognosis Transcriptome Child Influenza, Human Humans Reproducibility of Results Vaccines, Inactivated Computational Biology Vaccination Influenza Vaccines HIV Infections Hemagglutination Inhibition Tests Coinfection Influenza A Virus, H1N1 Subtype
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The FluPRINT dataset, a multidimensional analysis of the influenza vaccine imprint on the immune system.

Scientific data Oct 21, 2019
Machine learning has the potential to identify novel biological factors underlying successful antibody responses to influenza vaccines. The first attempts have revealed a high level of complexity in establishing influenza immunity, and many different...
Adolescent Aged Child, Preschool Aged, 80 and over Hemagglutination Inhibition Tests Cytokines Child Adult Middle Aged Female Male Infant Humans Young Adult Immunogenicity, Vaccine Immunophenotyping Machine Learning Immune System Influenza Vaccines Antibody Formation
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