Computational oncology is a generic term that encompasses any form of computer-based
modelling relating to tumour biology and cancer therapy. Mathematical modelling can be …

The last few decades have witnessed diversified in vitro models to recapitulate the
architecture and function of living organs or tissues and contribute immensely to advances in …

A main goal of mathematical and computational oncology is to develop quantitative tools to
determine the most effective therapies for each individual patient. This involves predicting …

The carious process leads to inflammation of pulp tissue. Current care options include root
canal treatment or apexification. These procedures, however, result in the loss of tooth …

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

Cancer is a set of complex pathologies that has been recognized as a major public health
problem worldwide for decades. A myriad of therapeutic strategies is indeed available …

Background A thorough understanding of the ecological and evolutionary mechanisms that
drive the phenotypic evolution of neoplastic cells is a timely and key challenge for the cancer …

Three-dimensional multicellular aggregates such as spheroids provide reliable in vitro
substitutes for tissues. Quantitative characterization of spheroids at the cellular level is …

This paper presents a general review on hybrid modelling which is about to become
ubiquitous in biological and medical modelling. Hybrid modelling is classically defined as …

Physical oncology has the potential to revolutionize cancer research and treatment. The
fundamental rationale behind this approach is that physical processes, such as transport …