Dissecting The Great Ophthalmic Masquerade: The Global Giant Cell Arteritis Genomics Consortium.
Funder
National Health and Medical Research Council
Funding Amount
$583,269.00
Summary
Giant cell arteritis (GCA) is the most common form of vasculitis in people over 50 years of age. If untreated it can cause catastrophic complications including blindness, though this can be prevented if treated early. Although there is clear evidence for a role of genetic factors in GCA, these have been little studied. We have established an Australian-led International consortium, with clinical, basic science and statistical expertise to thoroughly investigate this devastating disease.
STudy Of Risk Assessment To Reduce Complications In Patients Following Noncardiac SurgerY (STRATIFY)
Funder
National Health and Medical Research Council
Funding Amount
$436,000.00
Summary
Cardiac problems account for many complications in patients undergoing major non-cardiac surgery, and even apparently minor cardiac damage is a marker of high risk for subsequent adverse events. Unfortunately, while money and effort is expended on identifying patients at risk, the appropriate response to this risk is quite unclear. The performance of bypass surgery or balloon angioplasty in order to treat the underlying coronary disease of at-risk patients is used in other situations, and reduce ....Cardiac problems account for many complications in patients undergoing major non-cardiac surgery, and even apparently minor cardiac damage is a marker of high risk for subsequent adverse events. Unfortunately, while money and effort is expended on identifying patients at risk, the appropriate response to this risk is quite unclear. The performance of bypass surgery or balloon angioplasty in order to treat the underlying coronary disease of at-risk patients is used in other situations, and reduces longterm risk. However, in many patients undergoing major noncardiac surgery, this approach may be inappropriately aggressive, as these patients are often elderly, have other diseases that make heart operations more difficult and risky than usual, and in any case may have a reduced life expectancy from the disease necessitating the operation. As the most critical issue is to ensure that patients undergo their surgery uneventfully, an alternative is the use of intensive medical therapy to protect the heart. This multicentre study, based at Brisbane hospitals that perform large numbers of major operations, will follow up patients for complications, and outcome (including quality of life) will be assessed six months after the operation. We will address two important questions about the efficacy and cost of risk reduction strategies. First, in patients at higher levels of risk and with a positive stress test, could a combination of medical therapy designed to protect the heart be as effective as current approaches, which include the performance of bypass surgery or coronary balloon angioplasty? Second, in patients identified as being at some risk - but low risk - are drugs sufficiently effective to avoid the need for further testing to quantify risk? As the population continues to age, the numbers of at risk patients undergoing major surgery will increase, and answers to these questions will provide important information to guide their management.Read moreRead less
QUA:Queensland digital Ultra-Atlas. This project aims to design and develop a digital ultra-atlas of Queensland which integrates the capabilities of GIS(geographical information system) with interactive 4D graphical modelling,knowledge extraction and context-based query and retrieval. This ultra-atlas would allow users to discover knowledge on natural resources,cultural characteristics and historical changes,as well as simulating different effects by providing advanced search capabilities and en ....QUA:Queensland digital Ultra-Atlas. This project aims to design and develop a digital ultra-atlas of Queensland which integrates the capabilities of GIS(geographical information system) with interactive 4D graphical modelling,knowledge extraction and context-based query and retrieval. This ultra-atlas would allow users to discover knowledge on natural resources,cultural characteristics and historical changes,as well as simulating different effects by providing advanced search capabilities and engaging display of spatial and thematically-linked data. Such an ultra-atlas would have enormous impact on facilitating strategic planning and performance in many applications(e.g fire control,environment and urban planning).Read moreRead less
Searching for Maximal Satisfaction. A wide range of practical problems such as scheduling, timetabling, planning and economic forecasting are not only computationally intractable in general, but often involve conflicting constraints that make them unsolvable. These problems can be represented as MaxSAT, the optimisation version of the satisfiability problem (SAT). This project aims to develop novel and efficient algorithms to address the problem of maximal satisfaction. It is proposed that these ....Searching for Maximal Satisfaction. A wide range of practical problems such as scheduling, timetabling, planning and economic forecasting are not only computationally intractable in general, but often involve conflicting constraints that make them unsolvable. These problems can be represented as MaxSAT, the optimisation version of the satisfiability problem (SAT). This project aims to develop novel and efficient algorithms to address the problem of maximal satisfaction. It is proposed that these algorithms will be implemented within prototype MaxSAT solver systems, which will be experimentally evaluated on large-sized real world optimisation problems of high economic and societal significance. These solvers are expected to also compete in the industrial track of the international SAT solving competitions.Read moreRead less
Privacy Preserving Data Mining as Autonomous Data Analysis Expands into Safeguarding from Threats like Crime and Terrorism. In a world characterized by digitally coded data, Data Mining allows automatic exploration of huge numbers of personal records for target marketing, as well as demographic, medical and criminal research. Investigations into terrorist attacks use this technology, but a balance with privacy protection is necessary. Even if names and unique identifiers are removed, computer me ....Privacy Preserving Data Mining as Autonomous Data Analysis Expands into Safeguarding from Threats like Crime and Terrorism. In a world characterized by digitally coded data, Data Mining allows automatic exploration of huge numbers of personal records for target marketing, as well as demographic, medical and criminal research. Investigations into terrorist attacks use this technology, but a balance with privacy protection is necessary. Even if names and unique identifiers are removed, computer methods can be used to infer confidential information about individuals. This project develops new techniques to ensure privacy and alleviate public concerns such as secondary use of personal data. We shall develop new methods for replacing original data with data that exhibits approximately the same patterns, but conceals sensitive data.Read moreRead less
Automatic Ontology Learning and Data Reasoning in Web Mining. This research has an impact on both research and practical applications. In research, it provides opportunities for research students to carry out research using both data mining and data reasoning to solving Web based application problems. In practical, it can help IT industry to design the new generation of Web mining systems in order to provide invaluable service to users. This research also develops new techniques for data automa ....Automatic Ontology Learning and Data Reasoning in Web Mining. This research has an impact on both research and practical applications. In research, it provides opportunities for research students to carry out research using both data mining and data reasoning to solving Web based application problems. In practical, it can help IT industry to design the new generation of Web mining systems in order to provide invaluable service to users. This research also develops new techniques for data automatic processing within areas of smart information use in Australia. In particular it further develops data mining techniques by introducing data reasoning models for using discovered knowledge. It must be useful to improve the efficiency of the existing data mining systems. Read moreRead less
Dynamics of Causal Knowledge. We operate in complex dynamic environments including highly sensitive and safety-critical situations such as medical emergencies, disaster management and air-traffic control systems. Our knowledge of what causes what plays a pivotal role in making correct decisions in such situations. To ensure robustness and sound behaviour of the underlying causal knowledge systems, their designs and implementations must be formally well grounded. This is an important but difficul ....Dynamics of Causal Knowledge. We operate in complex dynamic environments including highly sensitive and safety-critical situations such as medical emergencies, disaster management and air-traffic control systems. Our knowledge of what causes what plays a pivotal role in making correct decisions in such situations. To ensure robustness and sound behaviour of the underlying causal knowledge systems, their designs and implementations must be formally well grounded. This is an important but difficult challenge. This project aims to systematically develop a logic-based framework to adequately capture and reason about evolving causal knowledge. This research is expected to form the basis for smart decision making, and be evaluated on practical applications.Read moreRead less
Searching for near-exact protein models. This project aims to develop novel and efficient heuristic-based algorithms leading to near accurate protein tertiary structure models. Knowledge about protein structures is fundamental to our understanding of living systems. The progress on experimental determination of these structures has been extremely limited and remains an open challenge in molecular biology. Computational prediction of protein structures from sequences is emerging as a promising ap ....Searching for near-exact protein models. This project aims to develop novel and efficient heuristic-based algorithms leading to near accurate protein tertiary structure models. Knowledge about protein structures is fundamental to our understanding of living systems. The progress on experimental determination of these structures has been extremely limited and remains an open challenge in molecular biology. Computational prediction of protein structures from sequences is emerging as a promising approach, but its accuracy is far from satisfactory. The software systems developed in this project will be used in structural identification of target proteins in drug design. This will make drug design process more efficient, saving time and cost, potentially saving lives.Read moreRead less
Understanding Changes In The Mammalian Prenylome Induced By Statins And Prenyltransferase Inhibitors
Funder
National Health and Medical Research Council
Funding Amount
$566,308.00
Summary
Prenylation, the covalent attachment of isoprenoid lipids to proteins, is widespread in mammalian cells. Essential for a protein's normal function, it contributes to the progression of cancer and inflammation. We have developed a novel technology to identify all prenylated proteins in the cell. Aided by this method, we will analyse the effect of statins and anti-cancer drugs on protein prenylation. This will provide guidance in identifying a more effective clinical use for them.
Automatic cartilage segmentation in magnetic resonance imaging. Osteoarthritis (OA) is the most common form of arthritis, affecting nearly 1.4 million Australians. This research aims at engineering new tools for use in Magnetic Resonance Imaging systems to enable automated analyses of the cartilage and bones in joint images. The goals of the work are to assist with improved diagnosis and treatment planning for both chronic disease, such as OA, and acute injuries, such as cartilage and ligament ....Automatic cartilage segmentation in magnetic resonance imaging. Osteoarthritis (OA) is the most common form of arthritis, affecting nearly 1.4 million Australians. This research aims at engineering new tools for use in Magnetic Resonance Imaging systems to enable automated analyses of the cartilage and bones in joint images. The goals of the work are to assist with improved diagnosis and treatment planning for both chronic disease, such as OA, and acute injuries, such as cartilage and ligament tears in sporting injuries and other traumas.
The software developed will be provided on the project’s partner (Siemens) platform and will therefore be available worldwide and have a consequently large impact on the field.
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