AIMC Topic: Immune System

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Identification of gene and protein signatures associated with long-term effects of COVID-19 on the immune system after patient recovery by analyzing single-cell multi-omics data using a machine learning approach.

Vaccine Aug 24, 2024
Viral infections significantly impact the immune system, and impact will persist until recovery. However, the influence of severe acute respiratory syndrome coronavirus 2 infection on the homeostatic immune status and secondary immune response in rec...
COVID-19 Algorithms SARS-CoV-2 Humans Machine Learning CD8-Positive T-Lymphocytes Influenza Vaccines Immune System Single-Cell Analysis Multiomics Transcriptome
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A guide to systems-level immunomics.

Nature immunology Sep 22, 2022
The immune system is highly complex and distributed throughout an organism, with hundreds to thousands of cell states existing in parallel with diverse molecular pathways interacting in a highly dynamic and coordinated fashion. Although the character...
Computer Simulation Immune System Machine Learning
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Machine Learning Approaches to TCR Repertoire Analysis.

Frontiers in immunology Jul 15, 2022
Sparked by the development of genome sequencing technology, the quantity and quality of data handled in immunological research have been changing dramatically. Various data and database platforms are now driving the rapid progress of machine learning...
Receptors, Antigen, T-Cell Immune System Machine Learning
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Opportunities and Challenges in Democratizing Immunology Datasets.

Frontiers in immunology Apr 16, 2021
The field of immunology is rapidly progressing toward a systems-level understanding of immunity to tackle complex infectious diseases, autoimmune conditions, cancer, and beyond. In the last couple of decades, advancements in data acquisition techniqu...
Humans Machine Learning Computational Biology Datasets as Topic Immune System Meta-Analysis as Topic Allergy and Immunology
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Ontological model of multi-agent Smart-system for predicting drug properties based on modified algorithms of artificial immune systems.

Theoretical biology & medical modelling Jul 20, 2020
BACKGROUND: Currently, due to the huge progress in the field of information technologies and computer equipment, it is important to use modern approaches of artificial intelligence in order to process extensive chemical information at creating new dr...
Artificial Intelligence Algorithms Computer Simulation Pharmaceutical Preparations Immune System
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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...
Antibody Formation Hemagglutination Inhibition Tests Child Immunophenotyping Immunogenicity, Vaccine Infant Female Immune System Aged Adolescent Influenza Vaccines Cytokines Child, Preschool Humans Male Young Adult Aged, 80 and over Machine Learning Middle Aged Adult
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Cellular frustration algorithms for anomaly detection applications.

PloS one Jul 8, 2019
Cellular frustrated models have been developed to describe how the adaptive immune system works. They are composed by independent agents that continuously pair and unpair depending on the information that one sub-set of these agents display. The emer...
Immune System Adaptive Immunity Models, Statistical Humans Models, Biological T-Lymphocytes Artificial Intelligence Data Mining Support Vector Machine Algorithms
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Reporting and connecting cell type names and gating definitions through ontologies.

BMC bioinformatics Apr 25, 2019
BACKGROUND: Human immunology studies often rely on the isolation and quantification of cell populations from an input sample based on flow cytometry and related techniques. Such techniques classify cells into populations based on the detection of a p...
Databases, Factual Proteins Humans Protein Subunits Biological Ontologies Immune System
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An Extreme Learning Machine Based on Artificial Immune System.

Computational intelligence and neuroscience Jun 25, 2018
Extreme learning machine algorithm proposed in recent years has been widely used in many fields due to its fast training speed and good generalization performance. Unlike the traditional neural network, the ELM algorithm greatly improves the training...
Neural Networks, Computer Machine Learning Animals Models, Biological Humans Immune System
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A Novel Hybrid Clonal Selection Algorithm with Combinatorial Recombination and Modified Hypermutation Operators for Global Optimization.

Computational intelligence and neuroscience Sep 8, 2016
Artificial immune system is one of the most recently introduced intelligence methods which was inspired by biological immune system. Most immune system inspired algorithms are based on the clonal selection principle, known as clonal selection algorit...
Models, Genetic Models, Immunological Mutation Humans Algorithms Computer Simulation Biomimetics Artificial Intelligence Cloning, Molecular Animals Immune System
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