Front propagation into unstable states

W Van Saarloos - Physics reports, 2003 - Elsevier
This paper is an introductory review of the problem of front propagation into unstable states.
Our presentation is centered around the concept of the asymptotic linear spreading velocity …

Implementing vertex dynamics models of cell populations in biology within a consistent computational framework

AG Fletcher, JM Osborne, PK Maini… - Progress in biophysics …, 2013 - Elsevier
The dynamic behaviour of epithelial cell sheets plays a central role during development,
growth, disease and wound healing. These processes occur as a result of cell adhesion …

Biologically-informed neural networks guide mechanistic modeling from sparse experimental data

JH Lagergren, JT Nardini, RE Baker… - PLoS computational …, 2020 - journals.plos.org
Biologically-informed neural networks (BINNs), an extension of physics-informed neural
networks, are introduced and used to discover the underlying dynamics of biological …

Cell proliferation and migration explain pore bridging dynamics in 3D printed scaffolds of different pore size

PR Buenzli, M Lanaro, CS Wong, MP McLaughlin… - Acta Biomaterialia, 2020 - Elsevier
Tissue growth in bioscaffolds is influenced significantly by pore geometry, but how this
geometric dependence emerges from dynamic cellular processes such as cell proliferation …

Collisions of deformable cells lead to collective migration

J Löber, F Ziebert, IS Aranson - Scientific reports, 2015 - nature.com
Collective migration of eukaryotic cells plays a fundamental role in tissue growth, wound
healing and immune response. The motion, arising spontaneously or in response to …

Propagation of HBV with spatial dependence

K Wang, W Wang - Mathematical biosciences, 2007 - Elsevier
A mathematical model is proposed to simulate the hepatitis B virus (HBV) infection with
spatial dependence. The existence of traveling waves is established via the geometric …

Learning partial differential equations for biological transport models from noisy spatio-temporal data

JH Lagergren, JT Nardini… - … of the Royal …, 2020 - royalsocietypublishing.org
We investigate methods for learning partial differential equation (PDE) models from spatio-
temporal data under biologically realistic levels and forms of noise. Recent progress in …

Multi-scale modeling of a wound-healing cell migration assay

AQ Cai, KA Landman, BD Hughes - Journal of Theoretical Biology, 2007 - Elsevier
A continuum model and a discrete model are developed to capture the population-scale and
cell-scale behavior in a wound-healing cell migration assay created from a scrape wound in …

Reproducibility of scratch assays is affected by the initial degree of confluence: experiments, modelling and model selection

W **, ET Shah, CJ Penington, SW McCue… - Journal of theoretical …, 2016 - Elsevier
Scratch assays are difficult to reproduce. Here we identify a previously overlooked source of
variability which could partially explain this difficulty. We analyse a suite of scratch assays in …

Revisiting the Fisher–Kolmogorov–Petrovsky–Piskunov equation to interpret the spreading–extinction dichotomy

M El-Hachem, SW McCue, W **… - Proceedings of the …, 2019 - royalsocietypublishing.org
The Fisher–Kolmogorov–Petrovsky–Piskunov model, also known as the Fisher–KPP model,
supports travelling wave solutions that are successfully used to model numerous invasive …