Flagship 2: Cardiovascular diagnostics and therapeutics


Cardiovascular dysfunction (CVD) is a leading cause of death, hospital admission, and reduced quality of life, and costs approximately 1% of New Zealand’s GDP. To reduce the economic and societal costs, we need better ways to estimate and monitor key biomarkers that are not directly measurable - but that can be used to guide CVD patient management in a more reliable and personalised manner.

The overall goal of this Flagship is to develop model-based biomarkers and methods to guide care of CVD patients.


Principal Investigators

University of Auckland

University of Canterbury

Associate Investigators

  • Dr Vicky Wang
  • Dr Rob Doughty
  • Professor Bruce Smaill
  • Professor Peter Hunter
  • Dr David Budgett
  • Dr Jichao Zhao
  • Dr Jagir Hussan
  • Dr Geoff Shaw

Our Work


Current collaborators

  • University of Canterbury (New Zealand)
  • University of Auckland (New Zealand)
  • University of Liege (Belgium)
  • CHU de Liege - Hospital and Med School (Belgium)
  • University College London (UK)
  • Alien TT (Italy)
  • University of Otago Christchurch (New Zealand)
  • Christchurch Hospital / CDHB (New Zealand)
  • Tiro Medical LLC, Christchurch (New Zealand)

Future collaborators

We are looking to collaborate with:

  • St George’s Hospital, Christchurch
  • Private cardiovascular surgery hospitals in general


  1. Model-based Computation of Total Stressed Blood Volume from a Preload Reduction Manoeuvre
  2. The Forward Problem of Electrocardiography: Is it Solved?
  3. Microstructural Remodelling and Mechanics of Hypertensive Heart Disease
  4. Field-Based Parameterisation of Cardiac Muscle Structure from Diffusion Tensors
  5. Determining Anisotropic Myocardial Stiffness from Magnetic Resonance Elastography: A Simulation Study
  6. Image-Based Predictive Modeling of Heart Mechanics.
  7. Identifying Myocardial Mechanical Properties from MRI Using an Orthotropic Constitutive Model
  8. Roadmap for Cardiovascular Circulation Model
  9. Structural Identifiability Analysis of a Cardiovascular System Model
  10. Virtual Patients and Virtual Cohorts: A New Way to Think About the Design and Implementation of Personalized ICU Treatments
  11. Analysing the Effects of Cold, Normal, and Warm Digits on Transmittance Pulse Oximetry
  12. Image-Driven Constitutive Modelling of Myocardial Fibrosis
  13. Improved Pressure Contour Analysis for Estimating Cardiac Stroke Volume using Pulse Wave Velocity Measurement
  14. Minimally Invasive Estimation of Ventricular Dead Space Volume through Use of Frank-Starling Curves
  15. Practical Identifiability Analysis of a Minimal Cardiovascular System Model