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Research Topic : peer-group
Socio-Economic Objective : Diagnostic methods
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  • Funded Activity

    Discovery Projects - Grant ID: DP0557989

    Funder
    Australian Research Council
    Funding Amount
    $300,000.00
    Summary
    Development of non-iodinated, non ionic, water-soluble metal based compounds for clinical administration as radiographic contrast media. Every year Australia spends more than $50 million on importing radiographic contrast media, in an international market worth more than $1 billion pa. Existing iodine based agents, which currently cause major adverse reactions in 1% of the population, could be replaced by new metal based imaging media which provide both enhanced contrast and greater patient safe .... Development of non-iodinated, non ionic, water-soluble metal based compounds for clinical administration as radiographic contrast media. Every year Australia spends more than $50 million on importing radiographic contrast media, in an international market worth more than $1 billion pa. Existing iodine based agents, which currently cause major adverse reactions in 1% of the population, could be replaced by new metal based imaging media which provide both enhanced contrast and greater patient safety and comfort. Even a small fraction of the international market would generate millions of dollars in overseas income from a range of potential sources, including licensing/royalties to export by a local start-up company, and expansion of rare earth mining in Australia.
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    Funded Activity

    Discovery Projects - Grant ID: DP0560063

    Funder
    Australian Research Council
    Funding Amount
    $205,000.00
    Summary
    Automated texture selection and classification methods for detection of osteoarthritis in knee radiographs. In Australia there are 1-2 million OA sufferers, a condition that costs approximately $9 billion annually. This project will address an important problem of early detection and monitoring of OA and this remains in line with the National Research Priority 2. Potential outcomes of the project will result in better diagnosis and treatment of OA, reduced discomfort to the individual and saving .... Automated texture selection and classification methods for detection of osteoarthritis in knee radiographs. In Australia there are 1-2 million OA sufferers, a condition that costs approximately $9 billion annually. This project will address an important problem of early detection and monitoring of OA and this remains in line with the National Research Priority 2. Potential outcomes of the project will result in better diagnosis and treatment of OA, reduced discomfort to the individual and saving to the national economy. This project will improve existing activity and rehabilitation programs such as exercise of lower limbs and it will help in developing diets for healthy people and OA sufferers.
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    Funded Activity

    Discovery Projects - Grant ID: DP0664862

    Funder
    Australian Research Council
    Funding Amount
    $174,000.00
    Summary
    Cognitive Features of Decision Support System Interfaces. The complex and time-constrained nature of the contemporary workplace is such that there is an increasing dependence on technology to assist operators in formulating accurate and timely decisions. This project is designed to ensure that the process through which this information is presented to operators is as efficient and effective as possible under the circumstances. Using an innovative approach to the development of such decision supp .... Cognitive Features of Decision Support System Interfaces. The complex and time-constrained nature of the contemporary workplace is such that there is an increasing dependence on technology to assist operators in formulating accurate and timely decisions. This project is designed to ensure that the process through which this information is presented to operators is as efficient and effective as possible under the circumstances. Using an innovative approach to the development of such decision support systems, the outcomes of this project will direct the development of this type of technology in the future and, ultimately, lead to more effective and more efficient decision-making under uncertainty.
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