activity
20182024
most citedBridging the gap between individual-based and continuum models of growing cell populations

32 citations · 92 across the 10 of their papers we have counts for

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Showing 2019Show all

4 papers · 1 filter

math.AP2019★ 1 cited

From a discrete model of chemotaxis with volume-filling to a generalised Patlak-Keller-Segel model

Federica Bubba, Tommaso Lorenzi, Fiona R Macfarlane

We present a discrete model of chemotaxis whereby cells responding to a chemoattractant are seen as individual agents whose movement is described through a set of rules that result…

q-bio.TO2019★ 7 cited

Discrete and continuum models for the evolutionary and spatial dynamics of cancer: a very short introduction through two case studies

Tommaso Lorenzi, Fiona R. Macfarlane, Chiara Villa

We give a very short introduction to discrete and continuum models for the evolutionary and spatial dynamics of cancer through two case studies: a model for the evolutionary dynami…

q-bio.QM2019★ 22 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.CB2019★ 18 cited

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…