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
Ultrafast tracking of physiological processes in the human eye. Recent developments in high-resolution imaging allow individual cells in the living eye to be studied at very high speeds. This project aims to explore a new class of scientific observations of rapid phenomena including: the capture and conversion of light energy to electrical energy, the spread of pressure waves through delicate networks of blood vessels, and fast eye movements used to navigate the visual scene. This project expect ....Ultrafast tracking of physiological processes in the human eye. Recent developments in high-resolution imaging allow individual cells in the living eye to be studied at very high speeds. This project aims to explore a new class of scientific observations of rapid phenomena including: the capture and conversion of light energy to electrical energy, the spread of pressure waves through delicate networks of blood vessels, and fast eye movements used to navigate the visual scene. This project expects to generate new knowledge about these processes using state of the art technology, to reveal more about how the eye and visual system work. Our novel measures of physiological function will offer significant future benefit in the early diagnosis and treatment of disorders occurring at the cellular level.Read moreRead less
Safeguarding Australia against vector-borne disease bio-incursions. Traditional diagnostic tests limited by their accuracy and ability to detect more than a few pathogens at one time, presents a major hurdle to protecting Australia's companion animals from a plethora of exotic and emerging vector-borne diseases (VBD). Many of these diseases also pose a major risk to public health. This project aims to develop, validate and verify a highly accurate, cost-effective, portable metabarcoding diagnost ....Safeguarding Australia against vector-borne disease bio-incursions. Traditional diagnostic tests limited by their accuracy and ability to detect more than a few pathogens at one time, presents a major hurdle to protecting Australia's companion animals from a plethora of exotic and emerging vector-borne diseases (VBD). Many of these diseases also pose a major risk to public health. This project aims to develop, validate and verify a highly accurate, cost-effective, portable metabarcoding diagnostic test capable of detecting known, emerging and novel parasitic, bacterial and viral VBD pathogens simultaneously, from clinical samples. The assay will represent a potential paradigm shift in the way VBD are tested, for the purpose of safeguarding Australia against VBD bio-incursions.Read moreRead less
Visualising Retinal Microglia as a Window into Brain Inflammation. This project aims to use the unique autofluorescence signature of immune cells, microglia, imaged in the retina, as an index of brain inflammation. This project expects to provide the fundamental knowledge to allow us to image microglia non-invasively and identify the presence of brain inflammation without needing to access the brain-proper. Expected outcomes include full characterisation of microglial autofluorescence in the ret ....Visualising Retinal Microglia as a Window into Brain Inflammation. This project aims to use the unique autofluorescence signature of immune cells, microglia, imaged in the retina, as an index of brain inflammation. This project expects to provide the fundamental knowledge to allow us to image microglia non-invasively and identify the presence of brain inflammation without needing to access the brain-proper. Expected outcomes include full characterisation of microglial autofluorescence in the retina and how it relates to brain inflammation. This should provide significant downstream benefits for the detection of inflammatory brain disease well before visible symptoms develop with substantial benefit for livestock, pets, zoo and conservation animals, as well as research knowledge. Read moreRead less
Developing a wildlife health intelligence and vaccine distribution system. This project aims to establish an industry-linked pipeline for vaccines to be delivered to animals in edible baits and a near real-time monitoring system for assessing the impact of management actions. This project will develop ultrasensitive diagnostic tests and incorporate biomarkers into baits from Australia's leading pest animal control company. Bait uptake and disease status in the field will be monitored using artif ....Developing a wildlife health intelligence and vaccine distribution system. This project aims to establish an industry-linked pipeline for vaccines to be delivered to animals in edible baits and a near real-time monitoring system for assessing the impact of management actions. This project will develop ultrasensitive diagnostic tests and incorporate biomarkers into baits from Australia's leading pest animal control company. Bait uptake and disease status in the field will be monitored using artificial intelligence technology developed in Tasmania. This integrated wildlife health intelligence and scalable vaccine platform can help protect the iconic Tasmanian devil from disease and increase Australia's preparedness for looming threats to the livestock industry such as African swine fever.Read moreRead less
Detecting and tracking alertness using speech biometrics. Traditional tests for detecting and tracking alertness are limited by their accuracy and inability to be administered without stopping work. This project aims to investigate how speech can be used to monitor changes in performance resulting from sleep deprivation and successive night shifts. The expected outcomes are 1) new knowledge on how sensitive speech and language features are for detecting change in alertness, and 2) development an ....Detecting and tracking alertness using speech biometrics. Traditional tests for detecting and tracking alertness are limited by their accuracy and inability to be administered without stopping work. This project aims to investigate how speech can be used to monitor changes in performance resulting from sleep deprivation and successive night shifts. The expected outcomes are 1) new knowledge on how sensitive speech and language features are for detecting change in alertness, and 2) development and verification of a highly accurate, cost-effective, speech focussed assay capable of detecting impaired alertness from otherwise healthy individuals. The project should benefit the way fitness for duty is tested and provide new methods for safeguarding Australians working in at-risk environments.Read moreRead less
Surface ligation of nanomaterials for biomedical applications . The project aims to explore the synergistic effects co-ligands for target recognition and biofouling protection in nanoparticle surface patterns to enable practical atomic scale precision engineering of efficient and biofouling resistant nanosensors. The project will fundamentally characterise interfacial interactions and dynamics of ligated nano-surfaces and biomolecules via advanced computer modelling. Outcomes should include pra ....Surface ligation of nanomaterials for biomedical applications . The project aims to explore the synergistic effects co-ligands for target recognition and biofouling protection in nanoparticle surface patterns to enable practical atomic scale precision engineering of efficient and biofouling resistant nanosensors. The project will fundamentally characterise interfacial interactions and dynamics of ligated nano-surfaces and biomolecules via advanced computer modelling. Outcomes should include practical molecular design guidelines for functional ligands and predicted optimal patterns for combining functional and antifouling ligands on gold nanomaterials for biosensing technologies. The advanced predictive modelling capabilities will facilitate future practical engineering of efficient biomedical devices.Read moreRead less