In the past two decades, quantitative mathematical modelling approaches have emerged as
a paradigm to improve new drug research productivity, especially the application of …

Abstract The Lotka–Volterra model is widely used to model interactions between two
species. Here, we generate synthetic data mimicking competitive, mutualistic and …

Virtual clinical trials (VCTs) are growing in popularity as a tool for quantitatively predicting
heterogeneous treatment responses across a population. In the context of a VCT, a …

Neural stem cells (NSCs) offer a potential solution to treating brain tumors. This is because
NSCs can circumvent the blood-brain barrier and migrate to areas of damage in the central …

With new advancements in technology, it is now possible to collect data for a variety of
different metrics describing tumor growth, including tumor volume, composition, and …

The complexity of mathematical models describing respiratory mechanics has grown in
recent years, however, parameter identifiability of such models has only been studied in the …

The use of mathematical models to make predictions about tumor growth and response to
treatment has become increasingly prevalent in the clinical setting. The level of complexity …

Thoracoabdominal asynchrony (TAA), the asynchronous volume changes between the rib
cage and abdomen during breathing, is associated with respiratory distress, progressive …

This thesis presents a novel mathematical modeling approach: the so-called environmental
stress level (ESL). It describes the collective influence of the microenvironment on the …

Cancer progression is a complex process that can be characterized by tumour cell
proliferation and migration. Both in-vivo andin-vitrostudies have shown that cancer cells can …