The Australian Parkinson's Project - Uncovering Genetic Risk Factors For Sporadic PD
Funder
National Health and Medical Research Council
Funding Amount
$768,546.00
Summary
Parkinson s disease (PD) is a progressively disabling movement disorder afflicting many elderly Australians. It is caused by the degeneration of specific nerve cells in the brain that produce certain chemicals and patients suffer from an inability to move fluently (or ultimately at all). At present we do not know what triggers this neurodegeneration, but it is believed that complex interactions between inherited (genetic) and environmental factors contribute significantly to the phenomenon. This ....Parkinson s disease (PD) is a progressively disabling movement disorder afflicting many elderly Australians. It is caused by the degeneration of specific nerve cells in the brain that produce certain chemicals and patients suffer from an inability to move fluently (or ultimately at all). At present we do not know what triggers this neurodegeneration, but it is believed that complex interactions between inherited (genetic) and environmental factors contribute significantly to the phenomenon. This project aims to learn more about these complex interactions and their association with PD. People with PD and unaffected individuals will be recruited from throughout Australia and we will look for specific combinations of genetic, environmental and lifestyle factors that either increase or decrease an individual's risk for PD. This research will identify the most common dominant genetic and environmental influences for PD in Australia, enabling scientists to focus on the most relevant biological pathways to target therapeutically.Read moreRead less
Markers Of Androgen Action, Genetic Variation And Prostate Cancer Risk
Funder
National Health and Medical Research Council
Funding Amount
$798,907.00
Summary
This proposal aim to follow up evidence from a number of studies that genetic and non-genetic markers of hormonal action in different periods of a man's life are associated with prostate cancer risk using a collection of three large, independent epidemiologic studies on prostate cancer named the Prostate Cancer Program. A principal objective is to collect exposure data on acne and digit ratio, and genotype cases and controls across the studies of the Prostate Cancer Program for common genetic va ....This proposal aim to follow up evidence from a number of studies that genetic and non-genetic markers of hormonal action in different periods of a man's life are associated with prostate cancer risk using a collection of three large, independent epidemiologic studies on prostate cancer named the Prostate Cancer Program. A principal objective is to collect exposure data on acne and digit ratio, and genotype cases and controls across the studies of the Prostate Cancer Program for common genetic variants in 4 candidate genes in the hormonal pathway. The established risk factors for prostate cancer are only age, race and family history. We anticipate that this project will cast light on the role of hormones in prostate cancer and that we will identify new markers of risk of prostate cancer and markers of disease aggressiveness. These outcomes will help us identifying men who are at risk for prostate cancer to target screening and surveillance, and plan prevention strategies. Furthermore, they will also form the basis for research on treatment targets.Read moreRead less
The Australian Maternity Outcomes Surveillance System: Improving Safety And Quality Of Maternity Care In Australia
Funder
National Health and Medical Research Council
Funding Amount
$820,438.00
Summary
There is currently no Australian system of monitoring severe complications of pregnancy. Many of these complications are rare, making them difficult to study and limiting knowledge as to their true frequency, cause and best treatment. We intend to introduce a national reporting system- Australian Maternity Outcomes Surveillance System which would provide the research structure to study these rare conditions, thus aiming to improve the safety and quality of maternity care provided in Australia.
Power systems with diverse generation - implications, control and capability. This research will generate a systematic methodology to handle the impact of the renewable energy sources on the NSW power grid. It increases our understanding of the impact of climate change policies relating to mandatory targets for greenhouse gas reduction helping to build Australia’s research capacity in the national priority area of an environmentally sustainable Australia. The anticipated methodology can also be ....Power systems with diverse generation - implications, control and capability. This research will generate a systematic methodology to handle the impact of the renewable energy sources on the NSW power grid. It increases our understanding of the impact of climate change policies relating to mandatory targets for greenhouse gas reduction helping to build Australia’s research capacity in the national priority area of an environmentally sustainable Australia. The anticipated methodology can also be seen as protecting the security of power infrastructure as well. Maintaining a critical energy infrastructure protects our way of life and ensures ongoing social, economic and environmental well being of Australia.Read moreRead less
Optimal Control of Stochastic Partial Differential Equations. The problem to control a stochastic process so as to minimize a certain cost functional arises in many areas of Applied Sciences, Engineering and Mathematical Finance. An important practical question is to find, for a given cost functional, the optimizing control in a feedback form. We propose new tools to construct such optimal controls for a class of stochastic processes which are solutions to stochastic partial differential equati ....Optimal Control of Stochastic Partial Differential Equations. The problem to control a stochastic process so as to minimize a certain cost functional arises in many areas of Applied Sciences, Engineering and Mathematical Finance. An important practical question is to find, for a given cost functional, the optimizing control in a feedback form. We propose new tools to construct such optimal controls for a class of stochastic processes which are solutions to stochastic partial differential equations. As an outcome of this project we will obtain methods to determine the optimal control policies for a large variety of cost functionals and degenerated stochastic partial differential equations, in particular those arising in modelling of volatility in Finance.Read moreRead less
Joint System Identification for Point Processes and Time-series. In various application areas such as neurophysiology, earthquake modeling, price spikes in electricity markets, the data of interest are point processes (aka sequences of events) or combinations of point processes and analog signals. To understand the underlying subject of interest we need to be able to extract the maximum information from these observation sequences. The current tools for doing this are very limited. This resear ....Joint System Identification for Point Processes and Time-series. In various application areas such as neurophysiology, earthquake modeling, price spikes in electricity markets, the data of interest are point processes (aka sequences of events) or combinations of point processes and analog signals. To understand the underlying subject of interest we need to be able to extract the maximum information from these observation sequences. The current tools for doing this are very limited. This research program will develop the complex signal processing and system methodology needed to create a suitable tool set.Read moreRead less
Efficient Algorithms for Multiple Object Filtering using Stochastic Geometry. The outcomes of this project will enhance our ability to harness advances in sensing and computing technologies and develop automated systems which facilitate rapid and reliable detection and monitoring of potential threats in our air, sea, and land space. Such systems assist our defence personnel in the event of a threat to implement measured and effective responses, and ultimately enhance Australia's operational adva ....Efficient Algorithms for Multiple Object Filtering using Stochastic Geometry. The outcomes of this project will enhance our ability to harness advances in sensing and computing technologies and develop automated systems which facilitate rapid and reliable detection and monitoring of potential threats in our air, sea, and land space. Such systems assist our defence personnel in the event of a threat to implement measured and effective responses, and ultimately enhance Australia's operational advantage, in line with the national research priority of 'Safeguarding Australia' and its associated priority goals. The developed technologies also have significant commercial potential which benefit Australian industries in areas such as robotics, automotive safety and biomedical engineering.Read moreRead less
Performance evaluation and characterisation for filtering in multi-object system. The project falls within the National Research Priority of 'Safeguarding Australia' and associated research priority goal of 'Transforming Defence Technology'. The project outcomes will provide cutting edge technology in surveillance, and monitoring of potential threat in our air, sea, and land space. Fast, reliable information enable our personnel to make timely, intelligent judgements, and appropriate responses i ....Performance evaluation and characterisation for filtering in multi-object system. The project falls within the National Research Priority of 'Safeguarding Australia' and associated research priority goal of 'Transforming Defence Technology'. The project outcomes will provide cutting edge technology in surveillance, and monitoring of potential threat in our air, sea, and land space. Fast, reliable information enable our personnel to make timely, intelligent judgements, and appropriate responses in the event of a threat, thereby maintaining Australia's operational advantage. Other application areas that benefits from our research include radar, sonar, guidance, navigation, air traffic control, image processing, oceanography, autonomous vehicles and robotics, remote sensing, and biomedical research.
Read moreRead less
Modelling patient flows through hospitals: optimizing effective use of resources. Hospitals are complex, dynamic systems confronted by increased demand in the face of shrinking real capacity. Managing such systems is currently undertaken with sub-optimal analytical support, particularly when demand and capacity are changing and resources must be manipulated to respond to such changes. In this project, the investigators will apply a mathematical modelling approach to the analysis of hospital pati ....Modelling patient flows through hospitals: optimizing effective use of resources. Hospitals are complex, dynamic systems confronted by increased demand in the face of shrinking real capacity. Managing such systems is currently undertaken with sub-optimal analytical support, particularly when demand and capacity are changing and resources must be manipulated to respond to such changes. In this project, the investigators will apply a mathematical modelling approach to the analysis of hospital patient flows. Furthermore, they will employ statistical process control methodologies to the problem of recognising and responding to changes in the flows, so that performance objectives are met. In doing this, they will give health service managers and clinicians a significant advantage in deciding how best to manage a constrained resource to maximize access, throughput and patient outcomes.Read moreRead less
Optimal Control of Multi-Object System. Better understanding of multi-object systems developed from this research, in particular, optimal control algorithms for multi-object systems have several significant socio-economic benefits. Application areas that benefits from our research include aerospace applications such as radar, sonar, guidance, navigation, and air traffic control and non-aerospace areas such as image processing, oceanography autonomous vehicles and robotics, remote sensing, and bi ....Optimal Control of Multi-Object System. Better understanding of multi-object systems developed from this research, in particular, optimal control algorithms for multi-object systems have several significant socio-economic benefits. Application areas that benefits from our research include aerospace applications such as radar, sonar, guidance, navigation, and air traffic control and non-aerospace areas such as image processing, oceanography autonomous vehicles and robotics, remote sensing, and biomedical research. The sensor network discipline also stand to benefit from the understanding of multi-object system and control framework. Read moreRead less