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 …

In advancing discrete-based computational cancer models towards clinical applications, one
faces the dilemma of how to deal with an ever growing amount of biomedical data that ought …

Despite major advances in the study of glioma, the quantitative links between intra-tumor
molecular/cellular properties, clinically observable properties such as morphology, and …

Tumor cells do not develop in isolation, but co-evolve with stromal cells and tumor-
associated immune cells in a tumor microenvironment mediated by an array of soluble …

Glioblastomas are aggressive primary brain tumors known for their inter-and intratumor
heterogeneity. This disease is uniformly fatal, with intratumor heterogeneity the major reason …

We have extended our previously developed 3D multi-scale agent-based brain tumor model
to simulate cancer heterogeneity and to analyze its impact across the scales of interest …

Simple Summary Pronounced differences across individuals (interpatient variability) and cell–
cell heterogeneity within a tumor (intratumoral heterogeneity) severely hinder effective brain …

Cancer is an inherently multiscale process, wherein genetic lesions at the sub-nuclear level
propagate to changes in intracellular biochemistry, cell-level behaviors, and ultimately to …

Mathematical modeling, analysis and simulation are set to play crucial roles in explaining
tumor behavior, and the uncontrolled growth of cancer cells over multiple time and spatial …

Empirical evidence and theoretical studies suggest that the phenotype, ie, cellular-and
molecular-scale dynamics, including proliferation rate and adhesiveness due to …