Mechanistic models are built using knowledge as the primary information source, with well-
established biological and physical laws determining the causal relationships within the …

Inverse problems in cardiovascular modelling have become increasingly important to
assess each patient individually. These problems entail estimation of patient-specific model …

This paper presents an information-theoretic approach for identifiability assessment of
model parameters in nonlinear finite-element (FE) model updating problems. Rooted in the …

This study creates a physiologically realistic virtual patient database (VPD), representing the
human arterial system, for the primary purpose of studying the effects of arterial disease on …

Cities worldwide are facing the dual pressures of growing population and land expansion,
leading to the intensification of conflicts in urban productive-living-ecological spaces (PLES) …

In this document we introduce the concepts of Observability and Identifiability in
Mathematical Epidemiology. We show that, even for simple and well known models, these …

The variability observed in action potential (AP) cardiomyocyte measurements is the
consequence of many different sources of randomness. Often ignored, this variability may be …

Voltage‐clamp experiments are commonly utilised to characterise cellular ion channel
kinetics. In these experiments, cells are stimulated using a known time‐varying voltage …

A new framework for optimal design based on the information-theoretic measures of mutual
information, conditional mutual information and their combination is proposed. The …

A new class of functions, called the 'information sensitivity functions'(ISFs), which quantify
the information gain about the parameters through the measurements/observables of a …