Developing nanoparticles to improve the specificity of anticancer agents towards tumor
tissue and to better control drug delivery is a rising strategy in oncology. An increasing …

We derive a Cahn–Hilliard–Darcy model to describe multiphase tumour growth taking
interactions with multiple chemical species into account as well as the simultaneous …

This book explores outcome modeling in cancer from a data-centric perspective to enable a
better understanding of complex treatment response, to guide the design of advanced …

The emergence of drug-resistance is a major challenge in chemotherapy. In this paper we
develop a mathematical model to study the dynamics of drug-resistance in solid tumors. Our …

The purpose of this paper is to develop a new coupled mathematical model of angiogenesis
(new blood vessel growth) and tumor growth to study cancer development and anti …

We study a model introduced by Perthame and Vauchelet [19] that describes the growth of a
tumor governed by Brinkman's Law, which takes into account friction between the tumor …

A major challenge in matrix-metalloproteinase (MMP) target validation and MMP-inhibitor-
drug development for anti-cancer clinical trials is to better understand their complex roles …

This thesis is concerned with the development and application of optimally efficient
numerical methods for the simulation of vascular tumour growth, based upon the multiphase …

Central to the quest for a deeper understanding of the cancer growth and spread process,
the naturally multiscale character of cancer invasion demands appropriate multiscale …

Breast cancer treatment response varies by subtype, treatment regiment, and additionally by
vasculature characteristics. For this reason, breast cancer is a model disease for the …