Machine Learning for Fracture Risk Assessment from Simple Radiography. This project aims to develop a novel, reliable, low-cost system to detect poor bone health and assess fracture risk to help to prevent and manage osteoporosis-related fractures. Currently, osteoporosis-related fractures cost our health system millions of dollars annually and costs are increasing with our ageing population. Early detection of poor bone health will improve the effectiveness of preventive measures and ease this ....Machine Learning for Fracture Risk Assessment from Simple Radiography. This project aims to develop a novel, reliable, low-cost system to detect poor bone health and assess fracture risk to help to prevent and manage osteoporosis-related fractures. Currently, osteoporosis-related fractures cost our health system millions of dollars annually and costs are increasing with our ageing population. Early detection of poor bone health will improve the effectiveness of preventive measures and ease this burden. Current methods include unreliable, crude clinical and visual guides that suggest osteoporosis screening. The project plans to develop a novel system by applying machine learning algorithms to radiology data which is commonly captured for diagnosing other conditions.Read moreRead less
Global dementias: Examining structural vulnerability and dementia outcomes. This project aims to examine the social and cultural dimensions of dementia by using a comparative ethnographic approach to examine the experiences of people living with dementia in Australia, Malaysia and India. The project expects to generate new anthropological knowledge about structural inequalities by examining how dementia is responded to in diverse geographic, cultural and social settings. Expected outcomes of thi ....Global dementias: Examining structural vulnerability and dementia outcomes. This project aims to examine the social and cultural dimensions of dementia by using a comparative ethnographic approach to examine the experiences of people living with dementia in Australia, Malaysia and India. The project expects to generate new anthropological knowledge about structural inequalities by examining how dementia is responded to in diverse geographic, cultural and social settings. Expected outcomes of this project include the creation of a new evidence-base on dementia and the production of briefing documents to guide global health frameworks. The project should provide significant benefits for people living with dementia by providing locally-relevant strategies to respond to dementia and resultant disability.Read moreRead less
Bioengineered bioscaffolds for Achilles tendinopathy treatment. The purpose of the project is to improve outcomes following the surgical treatment of Achilles tendinopathy. The expected outcome is the development in animals of new ways to design tissue engineered bioscaffolds for the surgical repair of Achilles tendinopathy.
Developing a disability policy model to target the prevention or reduction of limitations on functioning and wellbeing. With the ageing of Australian society the challenge for public health is shifting from preventing death and disease onset to supporting healthy and productive ageing. The disability policy model will allow cost-effective targeting of interventions to reduce or prevent onset of disability or reduce its severity particularly among older Australians.