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20162020
most citedQuantitative predictive modelling approaches to understanding rheumatoid arthritis: A brief review

22 citations · 22 across the 2 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

q-bio.TO2019

Evolutionary dynamics in vascularised tumours under chemotherapy

Chiara Villa, Mark A. J. Chaplain, Tommaso Lorenzi

We consider a mathematical model for the evolutionary dynamics of tumour cells in vascularised tumours under chemotherapy. The model comprises a system of coupled partial integro-d…

q-bio.QM201922 cited

Quantitative predictive modelling approaches to understanding rheumatoid arthritis: A brief review

Fiona R Macfarlane, Mark AJ Chaplain, Raluca Eftimie

Rheumatoid arthritis is a chronic autoimmune disease that is a major public health challenge. The disease is characterised by inflammation of synovial joints and cartilage erosion,…

q-bio.TO2019

Modelling the emergence of phenotypic heterogeneity in vascularised tumours

Chiara Villa, Mark A. J. Chaplain, Tommaso Lorenzi

We present a mathematical study of the emergence of phenotypic heterogeneity in vascularised tumours. Our study is based on formal asymptotic analysis and numerical simulations of…

q-bio.CB2019

A stochastic individual-based model to explore the role of spatial interactions and antigen recognition in the immune response against solid tumours

Fiona R Macfarlane, Mark AJ Chaplain, Tommaso Lorenzi

Spatial interactions between cancer and immune cells, as well as the recognition of tumour antigens by cells of the immune system, play a key role in the immune response against so…

q-bio.TO2019

Derivation and application of effective interface conditions for continuum mechanical models of cell invasion through thin membranes

Mark A. J. Chaplain, Chiara Giverso, Tommaso Lorenzi +1

We consider a continuum mechanical model of cell invasion through thin membranes. The model consists of a transmission problem for cell volume fraction complemented with continuity…