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 …

A multiscale tumour simulation model employing cell-line-specific biological parameters and
functional information derived from pre-therapy PET/CT imaging data was developed to …

Reaction-diffusion based tumor growth models have been widely used in the literature for
modeling the growth of brain gliomas. Lately, recent models have started integrating medical …

Radiotherapy for brain glioma treatment relies on magnetic resonance (MR) and computed
tomography (CT) images. These images provide information on the spatial extent of the …

In spite of all efforts, patients diagnosed with highly malignant brain tumors (gliomas),
continue to face a grim prognosis. Achieving significant therapeutic advances will also …

Low-grade gliomas (LGGs) are a group of primary brain tumours usually encountered in
young patient populations. These tumours represent a difficult challenge because many …

Aim The negative impact of tumour hypoxia on cancer treatment outcome has been long-
known, yet there has been little success combating it. This paper investigates the potential …

Although mathematical modeling is a mainstay for industrial and many scientific studies,
such approaches have found little application in neurosurgery. However, the fusion of …

Background: Glioblastoma multiforme (GBM) is the most frequent primary brain tumor in
adults and Temozolomide (TMZ) is an effective chemotherapeutic agent for its treatment. In …

Tumor recurrence in glioblastoma multiforme (GBM) is often attributed to acquired resistance
to the standard chemotherapeutic agent, temozolomide (TMZ). Promoter methylation of the …