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Research Topic : ABNORMAL
Field of Research : Information Systems Development Methodologies
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Information Systems (5)
Information Systems Development Methodologies (5)
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  • Funded Activity

    Linkage Projects - Grant ID: LP0989190

    Funder
    Australian Research Council
    Funding Amount
    $470,000.00
    Summary
    A new generation of multi-modality biomedical image visualisations. This research will overcome the urgent and significant burden in the routine clinical visualisation of multiple-modality biomedical image data, which are complex and exquisitely detailed from the new generation of high-resolution medical imaging scanners. Together with our industry partner RPA Hospital, we will produce 3D visualisation methodologies that will simplify and revolutionise the way biomedical data are visualised, ana .... A new generation of multi-modality biomedical image visualisations. This research will overcome the urgent and significant burden in the routine clinical visualisation of multiple-modality biomedical image data, which are complex and exquisitely detailed from the new generation of high-resolution medical imaging scanners. Together with our industry partner RPA Hospital, we will produce 3D visualisation methodologies that will simplify and revolutionise the way biomedical data are visualised, analysed and interpreted by imaging specialists and disseminated to doctors and patients. Given the pivotal role that imaging plays in modern healthcare, this will improve diagnosis and assessment, and enhance Australia's leading position in the development of frontier technologies.
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    Funded Activity

    Discovery Projects - Grant ID: DP1093999

    Funder
    Australian Research Council
    Funding Amount
    $610,000.00
    Summary
    Large scale knowledge and image based biomedical modelling and derivation of PET-CT disease maps and treatment response. The smart use of information to improve, promote and maintain good healthcare is a critical mission for our country. Cancer is a serious problem in Australian society and 1 in 4 individuals will be affected by it in their lifetime. Our research is focussed on two types of cancer - lung cancer and the lymphomas - and it will use IT in a novel way to extract important informatio .... Large scale knowledge and image based biomedical modelling and derivation of PET-CT disease maps and treatment response. The smart use of information to improve, promote and maintain good healthcare is a critical mission for our country. Cancer is a serious problem in Australian society and 1 in 4 individuals will be affected by it in their lifetime. Our research is focussed on two types of cancer - lung cancer and the lymphomas - and it will use IT in a novel way to extract important information from a very large biomedical data repository. We hope that it will improve personalised diagnosis and treatment in these cancers and provide new information on how some cancers spread and resist our usual treatments. We think our techniques will contribute to other research areas such as astronomy, agriculture, water/energy resources, and security.
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    Funded Activity

    Discovery Projects - Grant ID: DP0664830

    Funder
    Australian Research Council
    Funding Amount
    $634,946.00
    Summary
    Information Technology Aided Diagnosis of Dementia with PET-CT Imaging. Dementia is a significant health problem and approximately 162,000 Australians currently suffer from this disease, with costs estimated at $6 billion annually in Australia and a profound effect on the lives of carers and family members. With the ageing of the Australian population, the patient number is expected to rise to 500,000 by 2040.This research will apply innovative IT approaches to develop computer assisted diagnosi .... Information Technology Aided Diagnosis of Dementia with PET-CT Imaging. Dementia is a significant health problem and approximately 162,000 Australians currently suffer from this disease, with costs estimated at $6 billion annually in Australia and a profound effect on the lives of carers and family members. With the ageing of the Australian population, the patient number is expected to rise to 500,000 by 2040.This research will apply innovative IT approaches to develop computer assisted diagnosis of early dementia, when treatment is possible, from combined functional and anatomical imaging modalities (PET-CT). This will not only add considerable value to Australia's medical imaging infrastructure and smart use of information, but will ultimately also deliver substantial benefits to our nation and community.
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    Funded Activity

    Linkage Projects - Grant ID: LP100200280

    Funder
    Australian Research Council
    Funding Amount
    $430,000.00
    Summary
    Integrated multi-level interpretation and its applications for intelligent multimodality biomedical image navigation, retrieval and tracking. The 64- and 128-slice positron emission tomography – computed tomography (PET-CT) devices at the Royal Prince Alfred Hospital were the first in the country. These scanners, with the medical cyclotron and radiochemistry facilities, represent an investment of over A$13 million. This project will address pressing issues in optimising the utilisation of the in .... Integrated multi-level interpretation and its applications for intelligent multimodality biomedical image navigation, retrieval and tracking. The 64- and 128-slice positron emission tomography – computed tomography (PET-CT) devices at the Royal Prince Alfred Hospital were the first in the country. These scanners, with the medical cyclotron and radiochemistry facilities, represent an investment of over A$13 million. This project will address pressing issues in optimising the utilisation of the information and systems to provide better service to patients and referring clinicians. This research will add considerable value to Australia's medical imaging infrastructure and healthcare delivery; and advance scientific research in better understanding of system biology, physiology and pathology. The research outcomes will strengthen Australia’s leading position in biomedical information technology research and Australian medical imaging expertise.
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    Funded Activity

    Linkage Projects - Grant ID: LP110200166

    Funder
    Australian Research Council
    Funding Amount
    $386,000.00
    Summary
    Med-Graphic Avatar - a comprehensive, holistic and customisable model for personal health records. Our customisable Med-Graphic Avatar will open up unprecedented access, intuitive interpretation, smart utilisation, and new understanding of massive, diverse health data, and will herald a revolution in patient-centric, holistic medical care, synergising with next generation of participatory, personalised, preventative and predictive eHealth.
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