Intelligent Biomedical System Modelling and Multi-modality Image Analysis to Maximize Diagnostic Information from Medical Imaging. Medical imaging is an essential part of our Australian modern health care system and plays an important role in the diagnosis, treatment planning and decision making and assessment of treatment of patients. This project aims to maximize the benefit of federal government healthcare investment through intelligent biomedical system modelling in conjunction with multi-mo ....Intelligent Biomedical System Modelling and Multi-modality Image Analysis to Maximize Diagnostic Information from Medical Imaging. Medical imaging is an essential part of our Australian modern health care system and plays an important role in the diagnosis, treatment planning and decision making and assessment of treatment of patients. This project aims to maximize the benefit of federal government healthcare investment through intelligent biomedical system modelling in conjunction with multi-modality image analysis to extract crucial additional information for accurate diagnosis and improved treatment, which will not only lead to a major scientific advancement, but also deliver significant social benefits.Read moreRead less
Socially Oriented Requirements Engineering - Software Engineering meets Ethnography. The project should lead to the design and development of better software/information and communications technologies in the homes of Australians, that encourage flexible social ineractions, and has been designed with the user in mind.
A Structured Systems Approach For Improving Health Promotion Practice For Chronic Diseases In Indigenous Communities
Funder
National Health and Medical Research Council
Funding Amount
$666,592.00
Summary
This project will trial a model for continuous improvement, with the aim of assisting health services and community based organisations to improve the services they deliver to promote health and prevent chronic disease in Indigenous communities.
The National First Nations Research Network will mark a transformation in First Peoples livelihoods and Health Equity. Delivered and led by Indigenous Peoples for Indigenous Peoples, guided by self-determination, this Network will nurture culturally safe environments, connect expertise, catalyse research methods, training and development. The Network will create career pathways to achieve national capability and generational growth, for sustained health and wellbeing of our communities.
Agent-Based Simulation - New Approaches for Design and Prototyping. The project will improve the capacity of Australian companies to bring products to market more quickly where there are complex trade-offs between interacting actors. The simulation guidelines will help understand interaction in complex systems and the identification of important factors in the air traffic domain. The research will also preserve the leading position of Australian technology for high quality simulations of air tra ....Agent-Based Simulation - New Approaches for Design and Prototyping. The project will improve the capacity of Australian companies to bring products to market more quickly where there are complex trade-offs between interacting actors. The simulation guidelines will help understand interaction in complex systems and the identification of important factors in the air traffic domain. The research will also preserve the leading position of Australian technology for high quality simulations of air traffic control. The new methods will help Australian SMEs using agent technology, of which there are several.Read moreRead less
Pandemic Influenza Containment Strategies In Aboriginal Communities: What Is Acceptable And Feasible?
Funder
National Health and Medical Research Council
Funding Amount
$1,056,688.00
Summary
Influenza is a serious disease with a much greater impact in Indigenous communities. This project will work with Aboriginal communities in NSW, north Qld and WA on modifying the national pandemic influenza plan to develop control strategies that are acceptable to the culture and circumstances of those communities. A template and acceptable process will then be offered to other Indigenous communities, finally leading to negotiation to modify implementation of pandemic influenza plans.
Escaping the concurrency trade-off: a new approach to enterprise software. Enterprise software manages the operations of all business and government organisations. Designers of this often rely on their intuition or luck, by using high-performance database facilities whose correctness is not guaranteed. This project will show designers how to use these facilities while still having the assurance that the data will not be corrupted. This will improve the quality of the data used by Australian ent ....Escaping the concurrency trade-off: a new approach to enterprise software. Enterprise software manages the operations of all business and government organisations. Designers of this often rely on their intuition or luck, by using high-performance database facilities whose correctness is not guaranteed. This project will show designers how to use these facilities while still having the assurance that the data will not be corrupted. This will improve the quality of the data used by Australian enterprises, and thus improve their operations. Australian software designers will also benefit, as they will be able to produce software that combines high performance with assurance that concurrency errors will not occur.Read moreRead less
Building Mental Wealth: Improving Mental Health For Better Health Outcomes Among
Funder
National Health and Medical Research Council
Funding Amount
$2,509,816.00
Summary
Mental health issues impact on the health and wellbeing of Indigenous Australians who do not always engage with mainstream mental health services. This project will build the capacity of a critical mass of Indigenous and non Indigenous researchers who will engage, collaborate and work with Indigenous communities, clinicians and health providers to develop a sustainable culturally appropriate mental health policy and service model including adjunctive services to chronic disease management.
Varying similarity metrics in indexing and retrieving high dimensional data. Many applications require varying distance metrics by putting a weight on different dimensions. Taking an example in visual information retrieval, due to the subjective nature of similarity measurements, the distance metrics can vary between different users. The main problem with k nearest neighbour (k-nn) searches using weighted metrics in a high dimensional space is whether the searches can be done efficiently, since ....Varying similarity metrics in indexing and retrieving high dimensional data. Many applications require varying distance metrics by putting a weight on different dimensions. Taking an example in visual information retrieval, due to the subjective nature of similarity measurements, the distance metrics can vary between different users. The main problem with k nearest neighbour (k-nn) searches using weighted metrics in a high dimensional space is whether the searches can be done efficiently, since in an arbitrary distance metric the intersection between the k-nn sphere and the bounding envelopes of nodes in an index tree cannot be easily calculated. This project aims to seek a novel solution. It will create a great impact on and have many applications in high dimensional visual information retrieval, instance-based learning, complex analysis, non-parametric density estimation, etc.Read moreRead less
Smart Information Use for PET-CT Quantitative Molecular Imaging. This project aims to use advanced computing algorithms to tackle
challenging problems associated with a new medical technology called
PET-CT which combines two imaging modalities in one device. While this technology is very new and has great potential in cancer and brain disorders, it also poses major challenges for information processing and transmission. We will address these challenges by developing advanced algorithms that op ....Smart Information Use for PET-CT Quantitative Molecular Imaging. This project aims to use advanced computing algorithms to tackle
challenging problems associated with a new medical technology called
PET-CT which combines two imaging modalities in one device. While this technology is very new and has great potential in cancer and brain disorders, it also poses major challenges for information processing and transmission. We will address these challenges by developing advanced algorithms that optimally extract information from PET and CT using mathematical models that correct for the various sources of inaccuracy. Our research will put Australian biomedical researchers and healthcare professionals at the forefront of advanced medical imaging technology.Read moreRead less