Search Results for author: Mark A. J. Chaplain

Found 6 papers, 0 papers with code

Mathematical modelling of cancer invasion: Phenotypic transitioning provides insight into multifocal foci formation

no code implementations22 May 2023 Zuzanna Szymańska, Mirosław Lachowicz, Nikolaos Sfakianakis, Mark A. J. Chaplain

The transition from the epithelial to mesenchymal phenotype and its reverse (from mesenchymal to epithelial) are crucial processes necessary for the progression and spread of cancer.

A novel nonlocal partial differential equation model of endothelial progenitor cell cluster formation during the early stages of vasculogenesis

no code implementations24 May 2021 Chiara Villa, Alf Gerisch, Mark A. J. Chaplain

Neovascularisation is essential for tissue development and regeneration, in addition to playing a key role in pathological settings such as ischemia and tumour development.

Mechanical models of pattern and form in biological tissues: the role of stress-strain constitutive equations

no code implementations23 Sep 2020 Chiara Villa, Mark A. J. Chaplain, Alf Gerisch, Tommaso Lorenzi

Mechanochemical models of pattern formation in biological tissues have been used to study a variety of biomedical systems and describe the physical interactions between cells and their local surroundings.

Stress-Strain Relation

A multi-scale model of virus pandemic: Heterogeneous interactive entities in a globally connected world

no code implementations6 Jun 2020 Nicola Bellomo, Richard Bingham, Mark A. J. Chaplain, Giovanni Dosi, Guido Forni, Damian A. Knopoff, John Lowengrub, Reidun Twarock, Maria Enrica Virgillito

This paper is devoted to the multidisciplinary modelling of a pandemic initiated by an aggressive virus, specifically the so-called \textit{SARS--CoV--2 Severe Acute Respiratory Syndrome, corona virus n. 2}.

Epidemiology Virology

Evolutionary dynamics in vascularised tumours under chemotherapy

no code implementations13 Dec 2019 Chiara Villa, Mark A. J. Chaplain, Tommaso Lorenzi

In order to disentangle the impact of different evolutionary parameters on the emergence of intra-tumour phenotypic heterogeneity and the development of resistance to chemotherapy, we construct explicit solutions to the equation for the phenotypic distribution of tumour cells and provide a detailed quantitative characterisation of the long-time asymptotic behaviour of such solutions.

Modelling the emergence of phenotypic heterogeneity in vascularised tumours

no code implementations18 Oct 2019 Chiara Villa, Mark A. J. Chaplain, Tommaso Lorenzi

Our study is based on formal asymptotic analysis and numerical simulations of a system of non-local parabolic equations that describes the phenotypic evolution of tumour cells and their nonlinear dynamic interactions with the oxygen, which is released from the intratumoural vascular network.

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