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Status : Active
Research Topic : Veterinary Diagnostics
Field of Research : Medical Biotechnology
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Medical Biotechnology (4)
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  • Researchers (81)
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  • Active Funded Activity

    Industrial Transformation Research Hubs - Grant ID: IH150100028

    Funder
    Australian Research Council
    Funding Amount
    $3,708,510.00
    Summary
    ARC Research Hub for Integrated Device for End-user Analysis at Low-levels. ARC Research Hub for Integrated Device for End-user Analysis at Low-levels. This hub aims to improve detection of biological materials by building a portable device for rapid, time-critical detection of low-abundance molecular and cellular analytes. It is expected that the resulting technologies would be used at medical points of care, ordinary workplaces and centres of activity to test for tiny levels of targeted molecu .... ARC Research Hub for Integrated Device for End-user Analysis at Low-levels. ARC Research Hub for Integrated Device for End-user Analysis at Low-levels. This hub aims to improve detection of biological materials by building a portable device for rapid, time-critical detection of low-abundance molecular and cellular analytes. It is expected that the resulting technologies would be used at medical points of care, ordinary workplaces and centres of activity to test for tiny levels of targeted molecules. The initial focus would be early diagnosis of disease and point-of-care drug testing for humans and animals, but the technology platform could be used to sample food and environmental toxins. The hub expects these disruptive technologies will make Australian biotechnology, diagnostics, veterinary, agribusiness and manufacturing firms globally competitive.
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    Active Funded Activity

    Industrial Transformation Research Hubs - Grant ID: IH190100021

    Funder
    Australian Research Council
    Funding Amount
    $4,999,540.00
    Summary
    ARC Research Hub to Combat Antimicrobial Resistance. The ARC ITRP Research Hub to Combat Antimicrobial Resistance takes on the global challenge of antimicrobial resistance (AMR) for Australia through a world-first partnership between industry, researchers, and end users. The AMR Hub fosters a pre-commercialisation environment to address both social and laboratory-based preclinical challenges to provide a highly integrated diagnostic, pharmaceutical and end user solution to the problem of AMR. A .... ARC Research Hub to Combat Antimicrobial Resistance. The ARC ITRP Research Hub to Combat Antimicrobial Resistance takes on the global challenge of antimicrobial resistance (AMR) for Australia through a world-first partnership between industry, researchers, and end users. The AMR Hub fosters a pre-commercialisation environment to address both social and laboratory-based preclinical challenges to provide a highly integrated diagnostic, pharmaceutical and end user solution to the problem of AMR. A goal of the Hub is to support the development of new molecular diagnostic technology, improve the processes for identifying potential antibiotic compounds and assess and advise on antimicrobial stewardship with a vision to transform social and health outcomes globally.
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    Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE210101137

    Funder
    Australian Research Council
    Funding Amount
    $458,665.00
    Summary
    Exploiting biological noise for next generation electrochemical biosensors. This project aims to harness the intrinsic noise in a biological system to develop a new platform for biosensors. This will lead to advancement of a new versatile electrochemical platform for real-time screening with vast applications that span from sensing at sub-cellular level to point-of-care and implantable biosensors. The new sensory technique will improve the specificity, sensitivity and resolution in biosensors an .... Exploiting biological noise for next generation electrochemical biosensors. This project aims to harness the intrinsic noise in a biological system to develop a new platform for biosensors. This will lead to advancement of a new versatile electrochemical platform for real-time screening with vast applications that span from sensing at sub-cellular level to point-of-care and implantable biosensors. The new sensory technique will improve the specificity, sensitivity and resolution in biosensors and enables measurement of multiple biomarkers simultaneously in real-time. The outcomes will contribute to a better understanding of fundamental physiological processes and chemical interactions at subcellular level which will inform future advancements in biomedical engineering.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP210101863

    Funder
    Australian Research Council
    Funding Amount
    $518,700.00
    Summary
    Biophysics-informed deep learning framework for magnetic resonance imaging. This project aims to bring about a paradigm shift from the conventional non-quantitative magnetic resonance imaging to ultra-fast, quantitative, and artefact free imaging. This project integrates biophysics and artificial intelligence, and it is expected to bring new knowledge in both fields. The expected outcomes of this project include next generation magnetic resonance imaging methods with a fundamental shift in the .... Biophysics-informed deep learning framework for magnetic resonance imaging. This project aims to bring about a paradigm shift from the conventional non-quantitative magnetic resonance imaging to ultra-fast, quantitative, and artefact free imaging. This project integrates biophysics and artificial intelligence, and it is expected to bring new knowledge in both fields. The expected outcomes of this project include next generation magnetic resonance imaging methods with a fundamental shift in the approach to image artefacts and image quantification. This project is expected to advance both single subject and population level biomedical imaging with greater accuracy and cost-effectiveness. This project also promotes explainable and generalisable artificial intelligence in medical imaging.
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    Showing 1-4 of 4 Funded Activites

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