Mathematical immunology: From phenomenological to multiphysics modelling

Mathematical immunology is the branch of mathematics dealing with the application of mathematical methods and computational algorithms to explore the structure, dynamics, organization and regulation of the immune system in health and disease. We review the conceptual and mathematical foundation of modelling in immunology formulated by Guri I. Marchuk. The current frontier studies concerning the development of multiscale multiphysics integrative models of the immune system are presented. © 2020 Walter de Gruyter GmbH, Berlin/Boston 2020.

Authors
Bocharov G.A. 1, 2 , Grebennikov D.S.1, 2 , Savinkov R.S. 1, 3
Journal
Russian Journal of Numerical Analysis and Mathematical Modelling
Publisher
Walter de Gruyter GmbH
Number of issue
4
Language
English
Pages
203-213
Status
Published
Link
External link
DOI
10.1515/rnam-2020-0017
Volume
35
Year
2020
Organizations
  • 1 Marchuk Institute of Numerical Mathematics, Russian Academy of Sciences, Moscow, 119333, Russian Federation
  • 2 Moscow Center for Fundamental and Applied Mathematics, INM RAS, Sechenov First Moscow State Medical University, Moscow, 119991, Russian Federation
  • 3 Moscow Center for Fundamental and Applied Mathematics, INM RAS, Peoples' Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation
Keywords
Cell motility; Geometric model of lymph node; Immune response; Mathematical immunology; Multiphysics; Multiscale processes; Numerical implementation; Reaction-diffusion models; Virus infection
Date of creation
02.11.2020
Date of change
02.11.2020
Short link
https://repository.rudn.ru/en/records/article/record/64500/
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