Immunology has embraced data-driven computational and mathematical approaches to understand the immune system, its disorders and infections. Computational immunology covers mathematical and/or computational methods to study the dynamics of cellular and molecular entities of the immune system. Immunological bioinformatics or immunoinformatics is dedicated to method and tool developments for the analyses of omic-type data in immunology and knowledge inference using statistical inference and machine learning algorithms. Both fields are complementary key drivers of data-driven basic and translational immunology research for the benefit of human and animal health.
This special issue intends to collect contributions from mathematicians, bioinformaticians, computational scientists, and engineers together with experimental immunologists to present and discuss latest developments in different subareas ranging from modeling and simulation to machine learning predictions and their application to basic and clinical immunology.
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