Metamodeling the learning-hiding competition between tumours and the immune system: A kinematic approach

Carlo Cattani, Armando Ciancio, Alberto d'Onofrio

Research output: Contribution to journalArticle

Abstract

The competitive interaction between the Immune System and tumours is very complex, being non-linear and, to some extent, evolutionary. A fundamental aspect of this evolution is the asynchronous process of mutual learning of the two populations involved - the tumoural and the immune cells. In this work, to describe them, we propose a simple non-linear family of super-macroscopic models with non-monotonically time-varying coefficients. Numerical simulations of transitory phases complement the theoretical analysis.

Original languageEnglish
Pages (from-to)62-69
Number of pages8
JournalMathematical and Computer Modelling
Volume52
Issue number1-2
DOIs
Publication statusPublished - Jul 2010

Keywords

  • Dynamical systems
  • Immune system
  • Learning
  • Time-varying parameters
  • Tumour

ASJC Scopus subject areas

  • Computer Science Applications
  • Modelling and Simulation

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