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Chapter and Conference Paper
Local Sensitivity Analysis of a Closed-Loop in Silico Model of the Human Baroregulation
Using a minimal but sufficient closed-loop encapsulation and the theoretical framework of classical control, we implement and test the mathematical model of the baroregulation due to Mauro Ursino [24]. We present...
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Article
Open AccessDetermining Clinically-Viable Biomarkers for Ischaemic Stroke Through a Mechanistic and Machine Learning Approach
Assessment of distal cerebral perfusion after ischaemic stroke is currently only possible through expensive and time-consuming imaging procedures which require the injection of a contrast medium. Alternative a...
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Chapter and Conference Paper
Sensitivity Analysis of a Model of Lower Limb Haemodynamics
Post-thrombotic syndrome (PTS) has variable clinical presentation with significant treatment costs and gaps in the evidence-base to support clinical decision making. The contribution of variations in venous an...
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Chapter and Conference Paper
Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning
Pulmonary Hypertension (PH) is a severe disease characterized by an elevated pulmonary artery pressure. The gold standard for PH diagnosis is measurement of mean Pulmonary Artery Pressure (mPAP) during an inva...
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Article
Open AccessComputer model for the cardiovascular system: development of an e-learning tool for teaching of medical students
This study combined themes in cardiovascular modelling, clinical cardiology and e-learning to create an on-line environment that would assist undergraduate medical students in understanding key physiological a...
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Article
Hemodynamics and In-stent Restenosis: Micro-CT Images, Histology, and Computer Simulations
A model that combines the results of in vivo experiment, 3D image data, and computer simulation has been developed. Twelve identical stents were implanted into six healthy pigs and explanted at a range of differe...
