Cancer biology involves complex, dynamic interactions between cancer cells and their
tissue microenvironments. Single-cell effects are critical drivers of clinical progression …

There have been many techniques developed in recent years to in silico model a variety of
cancer behaviors. Agent-based modeling is a specific discrete-based hybrid modeling …

Many multicellular systems problems can only be understood by studying how cells move,
grow, divide, interact, and die. Tissue-scale dynamics emerge from systems of many …

In this paper we present an overview of agent-based models that are used to simulate
mechanical and physiological phenomena in cells and tissues, and we discuss underlying …

Histopathologic knowledge that extensive heterogeneity exists between and within tumors
has been confirmed and deepened recently by molecular studies. However, the impact of …

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 …

Using mathematical models to simulate dynamic biological processes has a long history.
Over the past couple of decades or so, quantitative approaches have also made their way …

When the immune system responds to tumour development, patterns of immune infiltrates
emerge, highlighted by the expression of immune checkpoint-related molecules such as …

Nanoparticles promise to improve the treatment of cancer through their increasingly
sophisticated functionalisations and ability to accumulate in certain tumours. Yet recent work …

Despite a growing wealth of available molecular data, the growth of tumors, invasion of
tumors into healthy tissue, and response of tumors to therapies are still poorly understood …