Modelling active play in preschool children using machine learning. This interdisciplinary project explores novel machine learning approaches to modelling physical activity data in preschool children. The approach taken is considered the future of physical activity assessment and is expected to substantially enhance the measurement of physical activity and the evidence base that informs strategies to improve population health through physical activity promotion. The project aims to transform the ....Modelling active play in preschool children using machine learning. This interdisciplinary project explores novel machine learning approaches to modelling physical activity data in preschool children. The approach taken is considered the future of physical activity assessment and is expected to substantially enhance the measurement of physical activity and the evidence base that informs strategies to improve population health through physical activity promotion. The project aims to transform the understanding of young children's physical activity behaviour, and is expected to have important implications for the design of accurate and effective technology-based physical activity monitoring and intervention applications that could be delivered through the e-health initiative in Australia.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100035
Funder
Australian Research Council
Funding Amount
$300,000.00
Summary
Hyperpolarised gas functional lung and molecular imaging. This project will produce a polariser to generate magnetised gas for research with magnetic resonance imaging (MRI). This allows imaging of normal and abnormal lung ventilation and circulation in animal and humans. The use of these hyperpolarised gases can also be used to tag specific molecules and increase understanding of lung metabolism.
In-vivo detection of airway injury and disease using phase contrast X-ray velocimetry. Currently diagnosis of lung disease, a major cause of death in humans, is based on clinical symptoms that do not usually manifest until the disease is well advanced. This project will develop a novel imaging technique, X-ray velocimetry, to detect changes in tissue before symptoms arise, potentially leading to strategies for managing lung diseases.
Low dose methods for detecting early lung disease using x-ray phase contrast imaging. This project will develop a highly sensitive, low-dose x-ray imaging technique for the early detection of diseases of the respiratory system. This technology will have the potential to be used as a diagnostic screening tool to reduce the incidence of respiratory related deaths from diseases such as lung cancer and emphysema.