Preparing Australia For Genomic Medicine: A Proposal By The Australian Genomics Health Alliance
Funder
National Health and Medical Research Council
Funding Amount
$25,000,000.00
Summary
The sequencing of the human genome brings the possibility of more accurate identification of the underlying basis of many diseases. This technology has moved so rapidly, however, that clinical access has been limited. In this application, a national alliance of clinicians, researchers, health economists and policymakers will evaluate the case for clinical genomics across inherited disease and cancer, determine how best to deliver this to the patient and train a capable workforce.
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
Detection of infrared-biomarkers for the diagnosis and treatment of canine neoplasia. This research hopes to discover infrared-biomarkers for canine cancers using synchrotron infrared and laser light. Many dog cancers are similar to human cancers so cancerous tissues and cells from dogs make excellent models for human cancer research. This project will provide new insights and technological approaches to cancer diagnosis and treatment.
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