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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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.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100894
Funder
Australian Research Council
Funding Amount
$365,058.00
Summary
Molecular mechanisms of equine fertility and early recognition of pregnancy. This project aims to identify biomarkers of stallion fertility and early pregnancy in thoroughbred and Standardbred horses using biochemistry, proteomics and ribonucleic acid analyses. Responding to industry calls for improved methods of detecting and managing infertility in both stallions and mares, this project will connect Australian horse breeders and international clinical experts with the world renowned reproducti ....Molecular mechanisms of equine fertility and early recognition of pregnancy. This project aims to identify biomarkers of stallion fertility and early pregnancy in thoroughbred and Standardbred horses using biochemistry, proteomics and ribonucleic acid analyses. Responding to industry calls for improved methods of detecting and managing infertility in both stallions and mares, this project will connect Australian horse breeders and international clinical experts with the world renowned reproductive Priority Research Centre with the intended outcome of novel reproductive technologies and diagnostic tests. This should both secure international competitiveness and significantly enhance profitability and employment in this culturally significant industry.Read moreRead less
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.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220100121
Funder
Australian Research Council
Funding Amount
$452,824.00
Summary
Effects of environmental heat stress on male fertility in livestock species. This project aims to address the role of ambient heat stress in animal fertility by examining its mechanisms and developing treatments to alleviate its effects. Using an interdisciplinary approach that brings together veterinary sciences, reproductive biology, biochemistry and bioinformatics, the project expects to improve our understanding of how high environmental temperatures lead to reduced fertility, pregnancy loss ....Effects of environmental heat stress on male fertility in livestock species. This project aims to address the role of ambient heat stress in animal fertility by examining its mechanisms and developing treatments to alleviate its effects. Using an interdisciplinary approach that brings together veterinary sciences, reproductive biology, biochemistry and bioinformatics, the project expects to improve our understanding of how high environmental temperatures lead to reduced fertility, pregnancy loss and compromised inheritance in large animals, and to develop effective interventions. The resulting benefits include enhanced productivity and resilience of Australia’s livestock industries in the face of a changing climate.
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