Human brain atlases have been evolving tremendously, propelled recently by brain big
projects, and driven by sophisticated imaging techniques, advanced brain mapping …

Glioblastoma extensively infiltrates the brain; despite surgery and aggressive therapies, the
prognosis is poor. A multidisciplinary approach combining mathematical, clinical and …

Glioblastoma remains a clinical challenge in spite of years of extensive research. Novel
approaches are needed in order to integrate the existing knowledge. This is the potential …

Mathematical models have been ubiquitously employed in various applications. One of
these applications that arose in the past few decades is cerebral tumor growth modeling …

Mathematical modeling of cerebral tumor growth is of great importance in clinics. It can help
in understanding the physiology of tumor growth, future prognosis of tumor shape and …

Background A new transcranial focused ultrasound device has been developed that can
induce hyperthermia in a large tissue volume. The purpose of this work is to investigate …

Glioblastoma is the most aggressive and infiltrative glioma, classified as Grade IV, with the
poorest survival rate among patients. Accurate and rigorously tested mechanistic in silico …

Simple Summary Biomechanical forces aggravate brain tumor progression. In this study,
magnetic resonance elastography (MRE) is employed to extract tissue biomechanical …

Reaction diffusion is the most common growth modelling methodology due to its simplicity
and consistency with the biological tumor growth process. However, current extensions of …

The main reason why therapeutic schemes fail in Glioblastoma lies on its own peculiarities
as a cancer and on our failure to fully decipher them. Fast tumor evolution, invasiveness and …