Model integration–the process by which different modelling efforts can be brought together
to simulate the target system–is a core technology in the field of Systems Biology. In the work …

Complex systems are characterized by the dynamic interaction of numerous and
heterogeneous entities, at various temporal and spatial scales, leading to nonlinear …

In this opinion paper we make the statement that hybrid models in oncology are required as
a mean for enhanced data integration. In the context of systems oncology, experimental and …

Cancer is a complex and heterogeneous disease, not only at a genetic and biochemical
level, but also at a tissue, organism, and population level. Multiple data streams, from …

Modelling and simulation are indispensable for the study of biological systems as dynamical
ensembles, made up of a large number of interacting components and exhibiting complex …

Many advances in research regarding immuno-interactions with cancer were developed
with the help of ordinary differential equation (ODE) models. These models, however, are …

Over the past several decades an intense, primarily experimental, scientific effort has
yielded remarkable increases in our understanding of tumour biology. In 2003 alone over …

Tumors are complex multicellular heterogeneous systems comprised of components that
interact with and modify one another. Tumor development depends on multiple factors …

Abstract Model frameworks have represented a substantial step forward with respect to
monolithic implementations of biophysical models. However, the diffusion of such …

In order to perform in silico modeling of cancer there is a need to study the various phases
and scales describing different levels of biocomplexity using mathematical modeling and …