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Field of Research : Biomechanical Engineering
Research Topic : Medical Informatics
Status : Active
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  • Researchers (84)
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  • Active Funded Activity

    Industrial Transformation Training Centres - Grant ID: IC180100024

    Funder
    Australian Research Council
    Funding Amount
    $4,000,000.00
    Summary
    ARC Training Centre for Medical Implant Technologies. The ARC Training Centre for Medical Implant Technologies aims to train a new generation of interdisciplinary engineers and to transform the orthopaedic and maxillofacial implant industry in Australia. In collaboration with industry, universities and hospitals, the Centre will build a dynamic training environment for interdisciplinary engineers to develop and evaluate personalised implants and surgeries. It will create new networks, internatio .... ARC Training Centre for Medical Implant Technologies. The ARC Training Centre for Medical Implant Technologies aims to train a new generation of interdisciplinary engineers and to transform the orthopaedic and maxillofacial implant industry in Australia. In collaboration with industry, universities and hospitals, the Centre will build a dynamic training environment for interdisciplinary engineers to develop and evaluate personalised implants and surgeries. It will create new networks, international collaborations and a generation of industry-ready researchers critical for growing Australia’s industry. The advances in materials and savings in time for procedures will reduce costs.
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    Active Funded Activity

    Industrial Transformation Training Centres - Grant ID: IC190100020

    Funder
    Australian Research Council
    Funding Amount
    $3,998,796.00
    Summary
    ARC Industrial Transformation Training Centre for Joint Biomechanics. The Centre aims to bring together leading researchers, industry partners and end-users to train a new generation of interdisciplinary and skilled graduates to tackle industry-focused challenges in joint biomechanics. The centre will provide advances required to transform personalised surgical treatment of joints through integrated technologies of computer tools for pre-surgical planning and decision making, the computer simula .... ARC Industrial Transformation Training Centre for Joint Biomechanics. The Centre aims to bring together leading researchers, industry partners and end-users to train a new generation of interdisciplinary and skilled graduates to tackle industry-focused challenges in joint biomechanics. The centre will provide advances required to transform personalised surgical treatment of joints through integrated technologies of computer tools for pre-surgical planning and decision making, the computer simulation system and robot simulators for surgical training and medical device assessment, and post-surgical assessment tools. The outcomes of the centre will significantly contribute to Australia by improved health outcomes, economic benefits, and a skilled workforce able to advance this joint biomechanics fields.
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    Active Funded Activity

    ARC Future Fellowships - Grant ID: FT200100329

    Funder
    Australian Research Council
    Funding Amount
    $884,404.00
    Summary
    Platform technology to decode motor control through ultra high-field MRI. This project aims to advance our understanding of the poorly understood neural circuits that enable fine motor control in humans. To obtain this knowledge, new platform technology will be developed to capture the full kinematics of the hand during concurrent functional magnetic resonance imaging at ultra high-field. This device will allow testing of fundamental theories describing the canonical microcircuits involved in ha .... Platform technology to decode motor control through ultra high-field MRI. This project aims to advance our understanding of the poorly understood neural circuits that enable fine motor control in humans. To obtain this knowledge, new platform technology will be developed to capture the full kinematics of the hand during concurrent functional magnetic resonance imaging at ultra high-field. This device will allow testing of fundamental theories describing the canonical microcircuits involved in hand motion. Expected outcomes include new evidence of mirror neurons and observation of predictive error signals in the motor cortex. This new knowledge paves the way towards improved computer-brain interface technology which is likely to create benefits through translation to applications such as artificial limb control.
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    Showing 1-3 of 3 Funded Activites

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