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Scheme : Linkage Projects
Research Topic : DIAGNOSIS
Status : Active
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  • Researchers (24)
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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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    Active Funded Activity

    Linkage Projects - Grant ID: LP210200798

    Funder
    Australian Research Council
    Funding Amount
    $325,377.00
    Summary
    Artificial intelligence algorithms to predict risk of injury in racehorses. This project will address the urgent need for predicting and preventing catastrophic and career limiting limb injuries and cardiac arrhythmias in racehorses due to over (or under) training. Using data from GPS and movement sensors integrated into saddlecloths, artificial intelligence algorithms will convert cumulative data on speed, gait, and stride characteristics during training, along with injury data, into a risk mat .... Artificial intelligence algorithms to predict risk of injury in racehorses. This project will address the urgent need for predicting and preventing catastrophic and career limiting limb injuries and cardiac arrhythmias in racehorses due to over (or under) training. Using data from GPS and movement sensors integrated into saddlecloths, artificial intelligence algorithms will convert cumulative data on speed, gait, and stride characteristics during training, along with injury data, into a risk matrix. Recorded heart rate and ECG data will also be analysed using artificial intelligence to detect early evidence of the development of cardiac arrhythmias. The system will improve racehorse welfare, providing a simple interface to warn trainers when risk of injury becomes high, in order to prevent catastrophic breakdown.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP210301351

    Funder
    Australian Research Council
    Funding Amount
    $878,964.00
    Summary
    New vaccines and diagnostics to control viral disease in farmed crocodiles. Infection of farmed crocodiles with West Nile virus (WNV) causes lesions in the skin that render the hides unsuitable for high quality leather products. This results in >$20 million lost revenue to the Australian crocodile industry annually. We have developed a novel technology to generate safe and effective vaccines and diagnostic tests for WNV in animals. We aim to 1) conduct vaccine trials in farmed crocodiles to dete .... New vaccines and diagnostics to control viral disease in farmed crocodiles. Infection of farmed crocodiles with West Nile virus (WNV) causes lesions in the skin that render the hides unsuitable for high quality leather products. This results in >$20 million lost revenue to the Australian crocodile industry annually. We have developed a novel technology to generate safe and effective vaccines and diagnostic tests for WNV in animals. We aim to 1) conduct vaccine trials in farmed crocodiles to determine the optimum dose formulation and immunisation regime to provide long-lived protection against WNV disease; 2) validate pen-side tests to rapidly diagnose WNV infection in crocodiles on farms; and 3) transfer the technology to a manufacturing facility to ensure a commercial supply of the vaccines and diagnostic tests.
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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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    Showing 1-4 of 4 Funded Activites

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