Predicting The Influence of Microvascular Structure On Tumour Response to Radiotherapy
Tumour response to radiotherapy depends on oxygen availability and thus the structure of the supplying microvessel network. We combine these networks with a hybrid multiscale model that couples a cellular automaton model of tumour growth with a model for oxygen transport from blood vessels. We compare predicted viable fractions of cells following one week of simulated radiotherapy in a real network and a collection of artificial networks.
Stem Cell Plasticity and Niche Dynamics in Cancer Progression
Cancer stem cells are believed to be the sole initiator and driver of tumor growth, given their self-renewal and tissue restoration properties. Their eradication may offer the ultimate in targeted tumor treatment. We challenge the strict hierarchical view of cancer stem cells and investigate the hypothesis of a plastic, niche-dependent stem phenotype, where the niche dictates the cell’s ability to maintain its stem-like state. We develop a two-dimensional hybrid discrete-continuum cellular automata model to describe the cell scale dynamics of multicellular tissue formation, and its environmental regulation.
Multiscale Modeling of Glioblastoma Suggests that the Partial Disruption of Vessel/Cancer Stem Cell Crosstalk Can Promote Tumor Regression without Increasing Invasiveness
In glioblastoma, the crosstalk between vascular endothelial cells (VECs) and glioma stem cells (GSCs) has been shown to enhance tumor growth. We develop a hybrid continuum-discrete mathematical model and show that the VEC-GSC crosstalk increases both tumor size and GSC fraction by enhancing GSC activity and neovascular development.
The Role of the Tumor Microenvironment in Glioblastoma: A Mathematical Model
We develop a mathematical and computational model to understand the interactions between the tumor cells and microglia that enhance tumor growth. The model includes the densities of tumor and microglia, and the concentrations of growth factors.
Aggregation Effects and Population-Based Dynamics as a Source of Therapy Resistance in Cancer
The authors demonstrate that cancer cells can act like a “herd.” This results in an evolutionary process described as “aggregation effects” in which the interactions among members of a herd. They demonstrate that cancer cells may benefit from clustering together. However, the authors also demonstrate that aggregation effects can be exploited under some conditions to increase the sensitivity of the cancer cells to some therapies.
Channel Modeling of Miniaturized Battery-Powered Capacitive Human Body Communication Systems
Jiwoong Park, Harinath Garudadri, and Patrick P. Mercier, University of California San Diego, USA
In this paper, small battery-powered transmitter and receiver devices are implemented to measure path loss under realistic assumptions. A hybrid electrostatic-FEM simulation model is presented that validates measurements and enables rapid and accurate characterization of HBC systems. HBC has a great potential for many emerging wearable applications; accurate path loss estimation will improve system-level design leading to viable products.