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Displaying 37–48 of 76 results

Determining the response to PARP inhibitor treatment of ovarian cancer in mouse xenograft model

Our cellular DNA is constantly under threat from both exogenous and endogenous factors. DNA repair pathways function to maintain genomic stability, preventing deleterious mutations that may ultimately lead to cancer initiation. When a tumour forms, it becomes genetically unstable, allowing environmental adaptation. This genetic instability can also result in gene mutations and protein expression alterations that can be targeted to induce cancer-specific cell death (phenomenon also known as synthetic lethality). For example, it has been shown that cells deficient in …

Study level
Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences

Business model innovation

Business models are becoming an important focus of innovation activities of practitioners and innovation studies of academics.When organisations want to introduce new products or services or need to transform their existing products or services, a viable business model is a critical requirement for commercial success. For example, many internet services are provided for free and require providers to find alternative sources of revenue, such as advertisements or premium services.In addition, the innovation of the business model itself is often a …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Information Systems
Research centre(s)
Centre for Data Science

Conceptual modelling for data analytics

Conceptual modelling has been used to facilitate understanding and communication. However, traditional conceptual modelling techniques mainly focused on systems analysis and design, but how these techniques can be used to improve understandability of data analytics (as results of using of information systems) is not well understood.This research aims to use the representation theory and investigate how conceptual modelling can facilitate understanding data analytics.

Study level
Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Information Systems

Topics in computational Bayesian statistics

Bayesian statistics provide a framework for a statistical inference for quantifying the uncertainty of unknowns based on information pre and post data collection.This information is captured in the posterior distribution, which is a probability distribution over the space of unknowns given the observed data.The ability to make inferences based on the posterior essentially amounts to efficiently simulating from the posterior distribution, which can generally not be done perfectly in practice.This task of sampling may be challenging for various reasons:The posterior …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

Restoring adiponectin signalling to prevent prostate cancer progression

Advanced prostate cancer (PCa) is a leading cause of cancer-associated death in Australian men. Anti-androgens, which exploit the tumour’s reliance on androgens for its growth and spread, offer temporary remission in advanced PCa patients, but due to treatment resistance, fail to be curative. A further complication of anti-androgens is that they trigger a deleterious suite of metabolic side-effects resembling obesity/Metabolic syndrome. These symptoms not only impact patient health but promote the tumour to be more aggressive and resist treatment. Vital …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences

Targeting leptin's signalling axis to prevent treatment resistance in prostate cancer

Advanced prostate cancer (PCa) is a leading cause of cancer-associated death in Australian men. Anti-androgens, which exploit the tumour’s reliance on androgens for its growth & spread, offer temporary remission in advanced PCa patients, but due to treatment resistance, fail to be curative. A further complication of anti-androgens is that they trigger a deleterious suite of metabolic side-effects resembling obesity/Metabolic syndrome. These symptoms not only impact patient health but promote tumours to be more aggressive & resist treatment. Vital new …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences

Vegetation modelling for wildlife conservation and bushfire monitoring

Modelling vegetation using video captured from drones is a valuable component of conservation. Working as part of a team you will use existing imagery to create detailed vegetation models for ecological analysis. You will then use these models to address important questions around the impacts of bushfires and interactions between vegetation and wildlife.

Study level
PhD, Master of Philosophy, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Biology and Environmental Science
Research centre(s)

Centre for the Environment

Contact line dynamics and healing liquid films

One of the more challenging aspects of modelling fluid dynamics is the contact-line problem: how does a contact line (a junction between two different fluids and a solid) move over time? A variety of models exist, such as disjoining pressure models, Navier slip models, and the imposition of a prewetting film, to name a few.In this project we will explore the behaviour of these different contact line models in the context of closing or healing liquid films. A hole in …

Study level
Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences

Biophysical models in humans and nature

Biophysical models are developed to represent key processes in humans and nature, from the electrophysiology of the human heart, to calcium carbonate skeleton production of coral reefs.In this project, we will explore biophysical model development across multiple fields, to identify commonalities, strengths and weaknesses, and identify analysis techniques ubiquitous in one field that can be immediately exploited to improve science in another field.

Study level
Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

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, Vacation research experience scheme
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 …

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

Experimental and numerical microfluidics

Miniaturisation is one of the most important current drivers for chemical and biological processes involved in gas sensing, water purification, cell culture and separation, and micro-reactors, among others, as it contributes to reducing costs while increasing performance and efficiency. The manipulation of small amounts of fluids at the microscale (microfluidics) offers several advantages such as speed, precision and control of those physical processes and holds the potential to deliver transformative technology capable of achieving fast, accurate and economical industrial solutions.With …

Study level
Vacation research experience scheme
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering

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