activity
20102024
most cited3D hybrid modeling of vascular network formation

12 citations · 22 across the 10 of their papers we have counts for

collaborators

10 papers

math.AP2024

Deformations of acid-mediated invasive tumors in a model with Allee effect

Paul Carter, Arjen Doelman, Peter van Heijster +4

We consider a Gatenby--Gawlinski-type model of invasive tumors in the presence of an Allee effect. We describe the construction of bistable one-dimensional traveling fronts using s…

q-bio.CB2024

Collective Invasion: When does domain curvature matter?

Joseph J. Pollacco, Ruth E. Baker, Philip K. Maini

Real-world cellular invasion processes often take place in curved geometries. Such problems are frequently simplified in models to neglect the curved geometry in favour of computat…

nlin.PS2024

On the speed of propagation in Turing patterns for reaction-diffusion systems

Václav Klika, Eamonn A. Gaffney, Philip K. Maini

This study investigates transient wave dynamics in Turing pattern formation, focusing on waves emerging from localised disturbances. While the traditional focus of diffusion-driven…

q-bio.TO2024

Homogenisation of nonlinear blood flow in periodic networks: the limit of small haematocrit heterogeneity

Y. Ben-Ami, B. D. Wood, J. M. Pitt-Francis +2

In this work we develop a homogenisation methodology to upscale mathematical descriptions of microcirculatory blood flow from the microscale (where individual vessels are resolved)…

cond-mat.soft20231 cited

Soliton approximation in continuum models of leader-follower behavior

F. Terragni, W. D. Martinson, M. Carretero +2

Complex biological processes involve collective behavior of entities (bacteria, cells, animals) over many length and time scales and can be described by discrete models that track…

q-bio.QM20233 cited

Parameter identifiability and model selection for partial differential equation models of cell invasion

Yue Liu, Kevin Suh, Philip K. Maini +2

When employing mechanistic models to study biological phenomena, practical parameter identifiability is important for making accurate predictions across wide range of unseen scenar…