The Burden Of Late Preterm Birth On Brain Development And 2 Year Outcomes – A Prospective, Longitudinal Cohort Study
Funder
National Health and Medical Research Council
Funding Amount
$838,690.00
Summary
80% of preterm babies are born from 32-36 weeks’ gestation, and are late preterm (LPT). LPT children have more learning problems, but why this occurs is unknown. This study aims to understand the effect of LPT birth on brain development. We will do brain scans at term and assess development at 2 years of age of 200 LPT and 200 full-term children. We expect LPT babies will have subtle alterations in brain development compared with term controls which will be associated with delayed development.
Centre Of Research Excellence (CRE) In Newborn Medicine
Funder
National Health and Medical Research Council
Funding Amount
$2,622,320.00
Summary
Problems around birth are common and can have long-term implications, including into adulthood. Our goal is to improve health outcomes for all newborn babies and their families by determining factors that enhance outcome and assessing the benefits and consequences of new treatments for mothers and babies. We are world leaders in this field and are dedicated to training the next generation of health professionals in the care of newborn babies, in Australia and the rest of the world.
A Dimensional Approach To Mapping The Risk Mechanisms Of Mental Illness
Funder
National Health and Medical Research Council
Funding Amount
$1,677,975.00
Summary
There is ongoing debate about whether current definitions of mental disorders are accurate. We will use statistical techniques to identify the core dimensions of liability for mental illness, and map how genes and brain organization drive differences between people along each dimension.
Non-invasive prediction of adverse neural events using brain wave activity. This project aims to develop intelligent decision-making systems for non-invasive identification of adverse neural events (fatigue/freezing of gait) through real-time monitoring of brain wave activity. Analyses of the effectiveness of the changes in physiological parameters associated with electroencephalography (EEG) signals, advanced biomedical instrumentation, and optimal computational intelligence will form a basis f ....Non-invasive prediction of adverse neural events using brain wave activity. This project aims to develop intelligent decision-making systems for non-invasive identification of adverse neural events (fatigue/freezing of gait) through real-time monitoring of brain wave activity. Analyses of the effectiveness of the changes in physiological parameters associated with electroencephalography (EEG) signals, advanced biomedical instrumentation, and optimal computational intelligence will form a basis for the development of platform technology capable of monitoring and detection of neural health status. Success is expected to yield a new generation of smart dynamic non-invasive systems that will be critical for developing effective solutions to counter life threating conditions for a large cross section of the Australian population.Read moreRead less
Optimising Early Interventions For Young People With Emerging Mood Disorder
Funder
National Health and Medical Research Council
Funding Amount
$2,653,052.00
Summary
One of our greatest health challenges is to develop highly-personalised interventions for teenagers and young adults with emerging mood disorders, like major depression or bipolar disorder. This new Australian centre combines our national expertise and links it with research innovation and training in key European and North American centres. It tests the viability of selecting the best treatments for young people with mood disorders on the basis of novel genetic, neuropsychological, circadian, i ....One of our greatest health challenges is to develop highly-personalised interventions for teenagers and young adults with emerging mood disorders, like major depression or bipolar disorder. This new Australian centre combines our national expertise and links it with research innovation and training in key European and North American centres. It tests the viability of selecting the best treatments for young people with mood disorders on the basis of novel genetic, neuropsychological, circadian, imaging, immunological or clinical methods.Read moreRead less
From Brain Maps To Mechanisms: Modeling The Pathophysiology Of Schizophrenia
Funder
National Health and Medical Research Council
Funding Amount
$320,891.00
Summary
My Fellowship will develop a framework that integrates brain imaging data with mathematical models of the brain to help understand the mechanisms responsible for schizophrenia. By linking functional Magnetic Resonance Imaging (fMRI) measurements to models of their underlying causes, the work may lead to new treatments that target the specific dysfunction in individuals with this debilitating brain disorder.
Vision Model Based Perceptual Digital Video Coding. Digital video coding and compression is an enabling technology and has diversified applications in audiovisual communications, multimedia computing, digital television broadcast and electronic entertainment industries. The project aims at spearheading research in theory, techniques and implementation of perceptual video coding in order to achieve constant and guaranteed quality in visual communications and services. It will explore a new appr ....Vision Model Based Perceptual Digital Video Coding. Digital video coding and compression is an enabling technology and has diversified applications in audiovisual communications, multimedia computing, digital television broadcast and electronic entertainment industries. The project aims at spearheading research in theory, techniques and implementation of perceptual video coding in order to achieve constant and guaranteed quality in visual communications and services. It will explore a new approach to digital video coding other than the constant bit rate coding techniques which have dominated digital video research for the past four decades. It will form a part of the theoretical foundation and principles for the next generation video coding and compression techniques, and may lead to new standards and practice.Read moreRead less
Long-term Cloud Service Composition. This project proposes an economic model-based framework for the selection and composition of cloud services, thus creating an efficient market for cloud consumers and providers. The project will use economic models that incorporate a range of quality of service (QoS) parameters as a key driver for optimising the selection of cloud services and the acceptance of consumer requests. The main outcomes of this project aim to increase efficiencies in the cloud mark ....Long-term Cloud Service Composition. This project proposes an economic model-based framework for the selection and composition of cloud services, thus creating an efficient market for cloud consumers and providers. The project will use economic models that incorporate a range of quality of service (QoS) parameters as a key driver for optimising the selection of cloud services and the acceptance of consumer requests. The main outcomes of this project aim to increase efficiencies in the cloud market, benefiting consumers and providers.Read moreRead less
Development of an Integrated Platform for Performance-Based Safety Assessment. Building fires are the cause of major fatalities and injuries amongst all types of accidental fires in Australia. With significant advancement in numerical simulation technique, computer models are becoming acceptable tools for fire safety designs. Nonetheless, these methods still suffer from large amount of manual inputs and lengthy computational times. This research project will address the prevalent deficiency in m ....Development of an Integrated Platform for Performance-Based Safety Assessment. Building fires are the cause of major fatalities and injuries amongst all types of accidental fires in Australia. With significant advancement in numerical simulation technique, computer models are becoming acceptable tools for fire safety designs. Nonetheless, these methods still suffer from large amount of manual inputs and lengthy computational times. This research project will address the prevalent deficiency in many of these computer models and develop a novel and innovative design methodology. The success of this project will revolutionize the computational tools for the industry realizing a convenient, robust and time-saving integrated platform catering for increasing future market demand.Read moreRead less
Haemodynamic investigation of flow diverter stents for the treatment of intracranial aneurysms. This project will explore the engineering of a flow diverter, an endovascular device for the treatment of brain aneurysms. The project will determine the optimal design of new types of flow diverters, which in turn could improve the effectiveness of treatments, thus reducing the associated costs of cerebral haemorrhage and stroke.