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Review
. 2022 Mar 17;70(2):12.
doi: 10.1007/s10441-022-09436-4.

Nonlocal Reaction-Diffusion Equations in Biomedical Applications

Affiliations
Review

Nonlocal Reaction-Diffusion Equations in Biomedical Applications

M Banerjee et al. Acta Biotheor. .

Abstract

Nonlocal reaction-diffusion equations describe various biological and biomedical applications. Their mathematical properties are essentially different in comparison with the local equations, and this difference can lead to important biological implications. This review will present the state of the art in the investigation of nonlocal reaction-diffusion models in biomedical applications. We will consider various models arising in mathematical immunology, neuroscience, cancer modelling, and we will discuss their mathematical properties, nonlinear dynamics, resulting spatiotemporal patterns and biological significance.

Keywords: Nonlocal equations; Pattern formation; Pulses; Reaction–diffusion equations; Travelling waves.

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References

    1. Alfaro M, Coville J (2012) Rapid travelling waves in the nonlocal Fisher equation connect two unstable states. Appl Math Lett 25:2095–2099
    1. Alfaro M, Coville J, Raoul G (2014) Bistable travelling waves for nonlocal reaction diffusion equations. Discret Contin Dyn Syst Ser A 34:1775–1791
    1. Alfonso JCL, Köhn-Luque A, Stylianopoulos T, Feuerhake F, Deutsch A, Hatzikirou H (2016) Why one-size-fits-all vaso-modulatory interventions fail to control glioma invasion: in silico insights. Sci Rep 6:1–15
    1. Almeida L, Bagnerini P, Fabrini G, Hughes DB, Lorenzi T (2019) Evolution of cancer cell populations under cytotoxic therapy and treatment optimisation: insight from a phenotype-structured model. ESAIM-Math Model Num 53:1157–1190
    1. Anita S (2015) Stabilization of a predator-prey system with nonlocal terms. Math Model Nat Phenom 10(6):6–16

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