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
How to make antibiotics in pig feed redundant, naturally. Antimicrobial resistance has become a major issue in human and veterinary medicine being partially caused by the use of in-feed antimicrobials in farm animals. This project aims to completely eliminate antimicrobials from piglet feeds. The key differential approach is based on helping the physiology of the animal rather than testing interventions against bacteria. The project will consist of developing a novel nutritional strategy of natu ....How to make antibiotics in pig feed redundant, naturally. Antimicrobial resistance has become a major issue in human and veterinary medicine being partially caused by the use of in-feed antimicrobials in farm animals. This project aims to completely eliminate antimicrobials from piglet feeds. The key differential approach is based on helping the physiology of the animal rather than testing interventions against bacteria. The project will consist of developing a novel nutritional strategy of naturally (through maternal conditioning) boosting the natural appetite and the capacity to digest in piglets early in life. The anticipated outcome is that the new peri-natal program will result in minimal bacterial proliferation and diarrhoea thus, negating the need for in-feed antimicrobials in piglets. Read moreRead less