AIMC Topic: Antigens, Viral
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Language models learn to represent antigenic properties of human influenza A(H3) virus.
Scientific reports
Jul 1, 2025
Given that influenza vaccine effectiveness depends on a good antigenic match between the vaccine and circulating viruses, it is important to assess the antigenic properties of newly emerging variants continuously. With the increasing application of r...
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...
Systematic collection, annotation, and pattern analysis of viral vaccines in the VIOLIN vaccine knowledgebase.
Frontiers in cellular and infection microbiology
Feb 7, 2025
BACKGROUND: Viral vaccines have been proven significant in protecting us against viral diseases such as COVID-19. To better understand and design viral vaccines, it is critical to systematically collect, annotate, and analyse various viral vaccines a...
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...
High-Precision Viral Detection Using Electrochemical Kinetic Profiling of Aptamer-Antigen Recognition in Clinical Samples and Machine Learning.
Angewandte Chemie (International ed. in English)
Apr 9, 2024
High-precision viral detection at point of need with clinical samples plays a pivotal role in the diagnosis of infectious diseases and the control of a global pandemic. However, the complexity of clinical samples that often contain very low viral con...
Validity of at-home rapid antigen lateral flow assay and artificial intelligence read to detect SARS-CoV-2.
Diagnostic microbiology and infectious disease
Jul 7, 2022
BACKGROUND: The gold standard for COVID-19 diagnosis-reverse-transcriptase polymerase chain reaction (RT-PCR)- is expensive and often slow to yield results whereas lateral flow tests can lack sensitivity.
A Deep Learning Approach for Predicting Antigenic Variation of Influenza A H3N2.
Computational and mathematical methods in medicine
Oct 16, 2021
Modeling antigenic variation in influenza (flu) virus A H3N2 using amino acid sequences is a promising approach for improving the prediction accuracy of immune efficacy of vaccines and increasing the efficiency of vaccine screening. Antigenic drift a...
Utilizing Computational Machine Learning Tools to Understand Immunogenic Breadth in the Context of a CD8 T-Cell Mediated HIV Response.
Frontiers in immunology
Feb 18, 2021
Predictive models are becoming more and more commonplace as tools for candidate antigen discovery to meet the challenges of enabling epitope mapping of cohorts with diverse HLA properties. Here we build on the concept of using two key parameters, div...
Mobile Health (mHealth) Viral Diagnostics Enabled with Adaptive Adversarial Learning.
ACS nano
Nov 23, 2020
Deep-learning (DL)-based image processing has potential to revolutionize the use of smartphones in mobile health (mHealth) diagnostics of infectious diseases. However, the high variability in cellphone image data acquisition and the common need for l...
Smartphone
Metal Nanoparticles
CRISPR-Cas Systems
COVID-19 Testing
Public Health
Point-of-Care Testing
COVID-19
Signal Processing, Computer-Assisted
Disaster Planning
Deep Learning
Communicable Disease Control
Reproducibility of Results
Humans
Platinum
Image Processing, Computer-Assisted
Antigens, Viral
Telemedicine
Neural Networks, Computer
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...
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