The past several decades have seen rapid advances in diagnosis and treatment of
cardiovascular diseases and stroke, enabled by technological breakthroughs in imaging …

Abstract Background and Objective: Models of the cardiomyocyte action potential have
contributed immensely to the understanding of heart function, pathophysiology, and the …

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 …

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 …

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 novel information-theoretic approach is proposed to assess the global practical
identifiability of Bayesian statistical models. Based on the concept of conditional mutual …

The goal of systems biology is to provide a predictive and quantitative understanding of
complex biological systems and their experimental data using mathematical and …

Optimal sensor placement is critical for enhancing the effectiveness of monitoring dynamical
systems. Deterministic solutions do not reflect the effects of input and parameter uncertainty …