Patient-specific Modelling Of Cardiovascular Disease
Funder
National Health and Medical Research Council
Funding Amount
$428,065.00
Summary
Cardiovascular disease is undoubtedly the biggest killer in the developed world and accounts for 30% of all deaths in Australia; killing one Australian every twelve minutes. My research group and I, combine medical imaging with biomedical engineering to perform patient-specific modelling. For example, we can predict the likelihood that aneurysm will rupture or the way blood flows through the aorta. My goal is to make these modelling tools accurate and robust enough to be used in the clinic.
Beyond The Connectome: Modelling Large-scale Brain Dynamics
Funder
National Health and Medical Research Council
Funding Amount
$419,847.00
Summary
Several very large international efforts are currently under way that aim to map brain anatomy and activity in unprecedented detail across the lifespan. But our understanding of how complex brain activity emerges from the anatomy has lagged far behind. We will address this problem using a novel combination of state-of-the-art structural connectivity data, cutting-edge modelling, and ultrafast high-resolution recordings of brain activity.
Preterm birth is a major cause of neonatal death and cerebral palsy. This grant will provide proof-of-concept that a computer program can be developed to predict a pregnant woman�s risk of preterm birth. There is a large market (4M US and 8M Europe), there are no competing technologies. This is a unique collaboration between Biomedical Engineering and an Australian centre with an international reputation in preterm birth, assisted by a pathology company.