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Found 6 matching student topics

Displaying 1–6 of 6 results

Genetics of cardiovascular disease

This research project involves investigating the genetic basis of cardiovascular disease (CVD). The project will focus on the genetically unique population of Norfolk Island. The Norfolk Island Health Study has been running for 20 yrs. Over this time the cardiovascular health of the Islanders has been tracked via the collection of relevant clinical data. In addition whole genome sequence data from the study group has been collected, which will facilitate the discovery of genetic variants that influence CVD phenotypes - …

Study level
PhD
Faculty
Faculty of Health
School
School of Biomedical Sciences
Research centre(s)
Centre for Genomics and Personalised Health

Develop microfluidic technologies for cardiovascular and cerebrovascular diseases

The sudden rupture of vulnerable atherosclerotic plaques and subsequent thrombosis formations are responsible for most acute vascular syndromes, such as myocardial infarction and stroke. Many victims who are apparently healthy die suddenly with no prior symptoms. Such deaths could be prevented through surgery or alternative medical therapy, if vulnerable plaques were identified earlier in their natural progression.To address this pressing need, we're developing simple-to-use, high-throughput and highly-informative microfluidic biochips to understand the sequences of molecular events underlying biomechanical thrombosis (mechanobiology). …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies

Optical coherence tomography imaging of arterial tissue

The sudden rupture of vulnerable atherosclerotic plaques and subsequent thrombosis formations are responsible for most acute vascular syndromes, such as myocardial infarction and stroke. Many victims who are apparently healthy die suddenly with no prior symptoms.Such deaths could be prevented through surgery or alternative medical therapy, if vulnerable plaques were identified earlier in their natural progression.While intravascular methods have been developed to visualize various features of vulnerable plaques, there is no single technique that can accurately predict plaque rupture in …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies

Develop point-of-care microfluidic technologies for cardiovascular and cerebrovascular diseases

Excessive clotting (thrombosis) leads to the cardiovascular diseases such as heart attack and stroke, killing one Australian every 12 minutes. It has long been recognized that platelets play a central role in thrombosis and are unique in their ability to form stable adhesive interactions under conditions of rapid blood flow.We've recently discovered a new ‘biomechanical’ prothrombotic mechanism that highlights the remarkable platelet sensitivity to the shear stress gradients of blood flow disturbance. Importantly, we've found that current anti-thrombotic drugs, such …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies
Centre for Biomedical Technologies

Image-based assessment of atherosclerotic plaque vulnerability: Towards a computational tool for early detection and prediction

Plaque characteristics and local haemodynamic/mechanical forces keep changing during plaque progression and rupture.Quantifying these changes and discovering the progression-stress correlation can improve our understanding of plaque progression/rupture. This will lead to a quantitative assessment tool for early detection of vulnerable plaques and prediction of possible ruptures.Our research project aims to combine medical imaging, computational modelling, phantom experiments and pathological analysis to investigate plaque progression and vulnerability to rupture in both animal models and patients with carotid stenosis.We will identify and …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies

Image-based computational model to predict intracranial aneurysm rupture

Intracranial aneurysms are bulging, weak areas of an artery that supply blood to the brain which are relatively common. While most aneurysms do not show symptoms, 1% spontaneously rupture which can be fatal or it can leave the survivor with permanent disabilities. This catastrophic outcome has motivated surgeons to operate on approximately 30% of aneurysms despite their rate of complications arising and cost of operation.The impact of aneurysm morphology on blood flow shear stress and rupture could educate surgical decision-making …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies

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