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
Defining the antiviral effects of Wolbachia in Aedes aegypti mosquitoes. Mosquitoes that carry a bacterium called Wolbachia do not transmit human pathogenic viruses. These mosquitoes are being developed as a biocontrol tool to prevent mosquito-borne diseases. This project aims to define the molecular basis for virus inhibition by Wolbachia. Using unique biological tools including mosquitoes carrying different strains of Wolbachia that do or do not inhibit dengue virus, the project will define ho ....Defining the antiviral effects of Wolbachia in Aedes aegypti mosquitoes. Mosquitoes that carry a bacterium called Wolbachia do not transmit human pathogenic viruses. These mosquitoes are being developed as a biocontrol tool to prevent mosquito-borne diseases. This project aims to define the molecular basis for virus inhibition by Wolbachia. Using unique biological tools including mosquitoes carrying different strains of Wolbachia that do or do not inhibit dengue virus, the project will define how Wolbachia modifies its host to create an antiviral state. The findings will provide insight into how viral pathogens can be suppressed in insect hosts. This may guide future viral disease intervention strategies for diverse areas afflicted by insect-borne viral disease, including human health and agriculture.Read moreRead less