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

DOI10.1016/j.mcm.2010.01.012zbMath1201.34071OpenAlexW1977784198MaRDI QIDQ611734

Armando Ciancio, Carlo Cattani, Alberto d'Onofrio

Publication date: 14 December 2010

Published in: Mathematical and Computer Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mcm.2010.01.012

zbMATH Keywords

dynamical systemslearningtime-varying parametersimmune systemtumour

Mathematics Subject Classification ID

Medical applications (general) (92C50) Qualitative investigation and simulation of ordinary differential equation models (34C60) Medical epidemiology (92C60)

Related Items (9)

On fractional predator and prey models with mutualistic predation including non-local and nonsingular kernels ⋮ Stochastic dynamics of Michaelis-Menten kinetics based tumor-immune interactions ⋮ Modelling the immune response to cancer: an individual-based approach accounting for the difference in movement between inactive and activated T cells ⋮ Modeling transitions in complex systems by multiplicative effect of temporal patterns extracted from signal flows ⋮ Tumour suppression by immune system through stochastic oscillations ⋮ Cost-effectiveness analysis of optimal strategy for tumor treatment ⋮ On analytical methods in neuroblastoma detection ⋮ Separable transition density in the hybrid model for tumor-immune system competition ⋮ A hybrid discrete-continuum modelling approach to explore the impact of T-cell infiltration on anti-tumour immune response

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