DEEP LEARNING AND PHYSIOLOGY BASED APPROACH TO DERIVE AND LINK OBSTRUCTIVE SLEEP APNOEA PHENOTYPES AND SYMPTOMATOLOGY
Funder
National Health and Medical Research Council
Funding Amount
$402,978.00
Summary
Obstructive sleep apnoea (OSA) is a highly prevalent nocturnal breathing disorder strongly related to daytime sleepiness, accident risk and reduced quality of life. However, the current severity index, the apnoea-hypopnoea index, poorly predicts daytime sleepiness and vigilance. In this project we elegantly combine physiological insight and artificial intelligence to develop and evaluate novel clinically applicable computational tools for detailed quantification of OSA severity and its symptoms.
Mechanisms Of Hepatic Fibrogenesis In Chronic Liver Disease
Funder
National Health and Medical Research Council
Funding Amount
$697,209.00
Summary
Despite advances made in understanding the mechanisms of liver injury, chronic liver disease continues to be one of the most rapidly growing causes of death in subjects aged <65 years. This is the result of uncontrolled wound healing and regeneration leading ultimately to cirrhosis and liver cancer. This research will identify and characterise pathways that control the wound healing response to liver injury, involving the processes of inflammation, scarring and restitution of normal liver mas ....Despite advances made in understanding the mechanisms of liver injury, chronic liver disease continues to be one of the most rapidly growing causes of death in subjects aged <65 years. This is the result of uncontrolled wound healing and regeneration leading ultimately to cirrhosis and liver cancer. This research will identify and characterise pathways that control the wound healing response to liver injury, involving the processes of inflammation, scarring and restitution of normal liver mass.Read moreRead less
Spontaneous activity and neural decoding in the developing brain. This project aims to investigate how patterns of neural activity emerge in the developing brain, using the zebrafish as a model system. This project expects to generate new knowledge regarding the functional significance of spontaneously generated activity, and how it interacts with sensory experience. The expected outcomes of this project include enhanced capacity at the interface between neuroscience and computation. This should ....Spontaneous activity and neural decoding in the developing brain. This project aims to investigate how patterns of neural activity emerge in the developing brain, using the zebrafish as a model system. This project expects to generate new knowledge regarding the functional significance of spontaneously generated activity, and how it interacts with sensory experience. The expected outcomes of this project include enhanced capacity at the interface between neuroscience and computation. This should provide significant benefits including greater insight into normal brain development, and the formulation of new concepts potentially relevant for brain-inspired computing.Read moreRead less
How does environmental enrichment affect brain development? This project aims to use brain imaging and advanced computational analyses to investigate how early sensory experience affects brain development. It adopts the larval zebrafish as a model system, since they display sophisticated behaviours from an early age, and neural activity can be recorded at whole-brain scale with single neuron resolution. The project aims to generate new knowledge regarding environmental effects on brain developme ....How does environmental enrichment affect brain development? This project aims to use brain imaging and advanced computational analyses to investigate how early sensory experience affects brain development. It adopts the larval zebrafish as a model system, since they display sophisticated behaviours from an early age, and neural activity can be recorded at whole-brain scale with single neuron resolution. The project aims to generate new knowledge regarding environmental effects on brain development and behaviour. This will provide significant benefits including greater insight into normal brain development, and the formulation of new concepts potentially relevant for brain-inspired computing. The expected outcomes also include enhanced capacity at the interface between neuroscience and computation.Read moreRead less
How do patterns of brain activity emerge during early life? This project uses theory and experiment to investigate how neural coding emerges in the developing brain. It adopts the larval zebrafish as a model system, because neural activity can be recorded at whole-brain scale but with single neuron resolution. The project expects to generate new knowledge regarding how neural activity comes to represent sensory stimuli, and new statistical models for interpreting large-scale patterns of neural a ....How do patterns of brain activity emerge during early life? This project uses theory and experiment to investigate how neural coding emerges in the developing brain. It adopts the larval zebrafish as a model system, because neural activity can be recorded at whole-brain scale but with single neuron resolution. The project expects to generate new knowledge regarding how neural activity comes to represent sensory stimuli, and new statistical models for interpreting large-scale patterns of neural activity. This will provide significant benefits including greater insight into normal brain development, and the formulation of new concepts potentially relevant for brain-inspired computing. The expected outcomes also include enhanced capacity at the interface between neuroscience and computation.Read moreRead less
A Novel Framework for Optimised Ensemble Classifier. The project aims to develop a novel framework for creating an optimised ensemble classifier that will improve data analysis and the accuracy of many real-world applications such as document analysis, robotics and medical diagnosis. The project plans to develop and investigate novel methods for generating diverse training environment layers, base classifiers and fusion of classifiers. It also plans to design a multi-objective evolutionary algor ....A Novel Framework for Optimised Ensemble Classifier. The project aims to develop a novel framework for creating an optimised ensemble classifier that will improve data analysis and the accuracy of many real-world applications such as document analysis, robotics and medical diagnosis. The project plans to develop and investigate novel methods for generating diverse training environment layers, base classifiers and fusion of classifiers. It also plans to design a multi-objective evolutionary algorithm-based search obtain the optimal number of layers, clusters and base classifiers. The expected outcomes of the proposed framework are advances in classifier learning. The final outcome may be novel methods which will bring in diversity during the learning of the base classifiers and provide an optimal ensemble classifier for real-world applications.Read moreRead less
Mechanisms of nerve fibre guidance by molecular gradients. Brain wiring is crucial for brain function. The project will investigate the basic principles underlying the development of brain wiring, using both experiments and mathematical models. This will lead a predictive model of how wiring develops, both in normal and abnormal situations.
An automated system for the analysis of road safety and conditions. This project aims to develop an automated system for the analysis of road safety and conditions. Digital video road data is collected over every state road in Queensland annually, and has the potential to provide a range of value-added products for safer roads. This project will develop deep learning based neural network techniques which can learn and classify roadside objects so that video data can be automatically analysed all ....An automated system for the analysis of road safety and conditions. This project aims to develop an automated system for the analysis of road safety and conditions. Digital video road data is collected over every state road in Queensland annually, and has the potential to provide a range of value-added products for safer roads. This project will develop deep learning based neural network techniques which can learn and classify roadside objects so that video data can be automatically analysed allowing the estimation of the proximity of objects for road safety and rating. The expected outcome will be new identification techniques and software which can be incorporated with road data collection systems.Read moreRead less
Deep Learning Architecture with Context Adaptive Features for Image Parsing. This project aims to develop a novel deep learning network architecture with contextual adaptive features for image parsing that can improve the object detection accuracy in real-world applications. A number of innovative methods for deep learning, contextual features and network parameter selection will be developed and investigated. The impact of the proposed architecture and features will be improved object-detection ....Deep Learning Architecture with Context Adaptive Features for Image Parsing. This project aims to develop a novel deep learning network architecture with contextual adaptive features for image parsing that can improve the object detection accuracy in real-world applications. A number of innovative methods for deep learning, contextual features and network parameter selection will be developed and investigated. The impact of the proposed architecture and features will be improved object-detection accuracy and advances in deep learning network architecture for image parsing. The intended outcomes are deep learning network architecture, contextual feature extraction techniques and network parameter optimisation techniques for image parsing.Read moreRead less
Functional Contribution Of Fetal Microchimeric Cells In Transgenic Models Of Maternal Tissue Repair In And After Pregnancy
Funder
National Health and Medical Research Council
Funding Amount
$542,462.00
Summary
Fetal stem cells cross into the mother during pregnancy and persist lifelong in her tissues. To determine whether helpful or harmful, we will study how these cells contribute to healing both after acute injury and in chronic genetic models like brittle-bone disease and muscular dystrophy. This research will inform long-term consequences of pregnancy, important for women's health and longevity, and help develop a promising form of stem cell therapy.