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