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Research Topic : diagnostics techniques
Field of Research : Veterinary Sciences
Australian State/Territory : VIC
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Veterinary Diagnosis and Diagnostics (5)
Veterinary Sciences (5)
Veterinary Epidemiology (2)
Biological Control (1)
Veterinary Medicine (1)
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Disease Distribution and Transmission (incl. Surveillance and Response) (2)
Horses (2)
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Control of Pests, Diseases and Exotic Species at Regional or Larger Scales (1)
Expanding Knowledge in the Agricultural and Veterinary Sciences (1)
Livestock Raising not elsewhere classified (1)
Pre-Border Biosecurity (1)
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  • Active Funded Activity

    ARC Future Fellowships - Grant ID: FT200100732

    Funder
    Australian Research Council
    Funding Amount
    $1,087,328.00
    Summary
    Safeguarding Australia against vector-borne disease bio-incursions. Traditional diagnostic tests limited by their accuracy and ability to detect more than a few pathogens at one time, presents a major hurdle to protecting Australia's companion animals from a plethora of exotic and emerging vector-borne diseases (VBD). Many of these diseases also pose a major risk to public health. This project aims to develop, validate and verify a highly accurate, cost-effective, portable metabarcoding diagnost .... Safeguarding Australia against vector-borne disease bio-incursions. Traditional diagnostic tests limited by their accuracy and ability to detect more than a few pathogens at one time, presents a major hurdle to protecting Australia's companion animals from a plethora of exotic and emerging vector-borne diseases (VBD). Many of these diseases also pose a major risk to public health. This project aims to develop, validate and verify a highly accurate, cost-effective, portable metabarcoding diagnostic test capable of detecting known, emerging and novel parasitic, bacterial and viral VBD pathogens simultaneously, from clinical samples. The assay will represent a potential paradigm shift in the way VBD are tested, for the purpose of safeguarding Australia against VBD bio-incursions.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP210301148

    Funder
    Australian Research Council
    Funding Amount
    $204,900.00
    Summary
    Developing a wildlife health intelligence and vaccine distribution system. This project aims to establish an industry-linked pipeline for vaccines to be delivered to animals in edible baits and a near real-time monitoring system for assessing the impact of management actions. This project will develop ultrasensitive diagnostic tests and incorporate biomarkers into baits from Australia's leading pest animal control company. Bait uptake and disease status in the field will be monitored using artif .... Developing a wildlife health intelligence and vaccine distribution system. This project aims to establish an industry-linked pipeline for vaccines to be delivered to animals in edible baits and a near real-time monitoring system for assessing the impact of management actions. This project will develop ultrasensitive diagnostic tests and incorporate biomarkers into baits from Australia's leading pest animal control company. Bait uptake and disease status in the field will be monitored using artificial intelligence technology developed in Tasmania. This integrated wildlife health intelligence and scalable vaccine platform can help protect the iconic Tasmanian devil from disease and increase Australia's preparedness for looming threats to the livestock industry such as African swine fever.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP180101000

    Funder
    Australian Research Council
    Funding Amount
    $420,000.00
    Summary
    Improving diagnostic accuracy and treatment options for equine PPID. Equine Pituitary Pars Intermedia Dysfunction (PPID) is a common, chronic and potentially life-threatening disease of older horses and ponies. Although a treatment is available, the disease is poorly understood and there are some concerns that the current diagnostic technology is not delivering accurate results. Thus, this project aims to develop a more accurate diagnostic test for PPID, while exploring the relationship between .... Improving diagnostic accuracy and treatment options for equine PPID. Equine Pituitary Pars Intermedia Dysfunction (PPID) is a common, chronic and potentially life-threatening disease of older horses and ponies. Although a treatment is available, the disease is poorly understood and there are some concerns that the current diagnostic technology is not delivering accurate results. Thus, this project aims to develop a more accurate diagnostic test for PPID, while exploring the relationship between PPID and metabolic syndrome, to generate new insights into the cause and consequences of both diseases. As an added benefit, the project will assist horseracing laboratories to improve their detection methods for peptide doping in younger competition horses.
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    Funded Activity

    Linkage Projects - Grant ID: LP170100187

    Funder
    Australian Research Council
    Funding Amount
    $247,239.00
    Summary
    Chemo-prevention of tropical canine parasitoses and vector-borne diseases. This project will determine the prevalence and diversity of established, emerging and novel canine vector-borne agents and endoparasites in a tropical setting by using conventional and next generation molecular diagnostic tools. It will fill an important gap by providing independently-verified evidence on how well canine anti-parasitic products marketed in Australia and Asia by Bayer Animal Health, perform in high-infecti .... Chemo-prevention of tropical canine parasitoses and vector-borne diseases. This project will determine the prevalence and diversity of established, emerging and novel canine vector-borne agents and endoparasites in a tropical setting by using conventional and next generation molecular diagnostic tools. It will fill an important gap by providing independently-verified evidence on how well canine anti-parasitic products marketed in Australia and Asia by Bayer Animal Health, perform in high-infection pressure settings, as a chemo-preventative for these disease agents. Tropical regions spanning northern Australia and Southern Asia are highly conducive to a plethora of canine vector-borne and parasitic pathogens that cause significant morbidity and mortality in dogs. Many of these agents also pose a risk to public health. The outcomes will be directly translated to best-practice guidelines for the advancement of companion animal (and indirectly human) health and welfare.
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    Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100026

    Funder
    Australian Research Council
    Funding Amount
    $230,000.00
    Summary
    VetCompass: Big Data and Real-time Surveillance for Veterinary Science. VetCompass: big data and real-time surveillance for veterinary science: The VetCompass data service intends to collect real-time records from veterinary clinics and aggregate them for researchers to interrogate. It aims to provide Australian researchers with sustainable and cost-effective access to authoritative data from hundreds of practitioners in Australia and the United Kingdom. These data will be essential for researc .... VetCompass: Big Data and Real-time Surveillance for Veterinary Science. VetCompass: big data and real-time surveillance for veterinary science: The VetCompass data service intends to collect real-time records from veterinary clinics and aggregate them for researchers to interrogate. It aims to provide Australian researchers with sustainable and cost-effective access to authoritative data from hundreds of practitioners in Australia and the United Kingdom. These data will be essential for research on disease distribution and determinants, and surveillance and diagnostics that underpin evidence-based practice. The expected outcomes include identification of the most prevalent disorders and their causes and optimal treatments. The data may also revolutionise clinical auditing in Australia, help the veterinary profession to rank research priorities, and inform companion animal and equine curricula in our universities.
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