Cancer evolution: mathematical models and computational inference

N Beerenwinkel, RF Schwarz, M Gerstung… - Systematic …, 2015 - academic.oup.com
Cancer is a somatic evolutionary process characterized by the accumulation of mutations,
which contribute to tumor growth, clinical progression, immune escape, and drug resistance …

The biology and mathematical modelling of glioma invasion: a review

JCL Alfonso, K Talkenberger… - Journal of the …, 2017 - royalsocietypublishing.org
Adult gliomas are aggressive brain tumours associated with low patient survival rates and
limited life expectancy. The most important hallmark of this type of tumour is its invasive …

Nonlinear modelling of cancer: bridging the gap between cells and tumours

JS Lowengrub, HB Frieboes, F **, YL Chuang, X Li… - …, 2009 - iopscience.iop.org
Despite major scientific, medical and technological advances over the last few decades, a
cure for cancer remains elusive. The disease initiation is complex, and including initiation …

Chaste: an open source C++ library for computational physiology and biology

GR Mirams, CJ Arthurs, MO Bernabeu… - PLoS computational …, 2013 - journals.plos.org
Chaste—C ancer, H eart A nd S oft T issue E nvironment—is an open source C++ library for
the computational simulation of mathematical models developed for physiology and biology …

[LIBRO][B] Mathematical modeling of biological pattern formation

A Deutsch, S Dormann - 2005 - Springer
In this chapter we have presented mathematical modeling approaches to biological pattern
formation. While reaction-diffusion models are appropriate to describe the spatio-temporal …

[LIBRO][B] Multiscale modeling of cancer: an integrated experimental and mathematical modeling approach

V Cristini, J Lowengrub - 2010 - books.google.com
Mathematical modeling, analysis and simulation are set to play crucial roles in explaining
tumor behavior, and the uncontrolled growth of cancer cells over multiple time and spatial …

A single-cell-based model of tumor growth in vitro: monolayers and spheroids

D Drasdo, S Höhme - Physical biology, 2005 - iopscience.iop.org
To what extent the growth dynamics of tumors is controlled by nutrients, biomechanical
forces and other factors at different stages and in different environments is still largely …

Individual-based and continuum models of growing cell populations: a comparison

H Byrne, D Drasdo - Journal of mathematical biology, 2009 - Springer
In this paper we compare two alternative theoretical approaches for simulating the growth of
cell aggregates in vitro: individual cell (agent)-based models and continuum models. We …

[HTML][HTML] Modeling the influence of the E-cadherin-β-catenin pathway in cancer cell invasion: a multiscale approach

I Ramis-Conde, D Drasdo, ARA Anderson… - Biophysical journal, 2008 - cell.com
In this article, we show, using a mathematical multiscale model, how cell adhesion may be
regulated by interactions between E-cadherin and β-catenin and how the control of cell …

[HTML][HTML] Cancer modeling: From mechanistic to data-driven approaches, and from fundamental insights to clinical applications

S Bekisz, L Geris - Journal of Computational Science, 2020 - Elsevier
Cancer is still one of the major causes of death worldwide. Even if its comprehension is
improving continuously, the complexity and heterogeneity of this group of diseases …