Development of Advanced Wear Debris Analysis Techniques for Osteoarthritis Study. Wear and tear of joints is the common cause of osteoarthritis, costing $19.25 billion/year. With this cost on the increase, and no cure to date, comes a need to develop effective methods for its diagnosis. This study will provide new knowledge on osteoarthritis progression by allowing strategic use of national health resources. A fuzzy expert system, to be developed utilising the diagnostic/prognostic techniques of ....Development of Advanced Wear Debris Analysis Techniques for Osteoarthritis Study. Wear and tear of joints is the common cause of osteoarthritis, costing $19.25 billion/year. With this cost on the increase, and no cure to date, comes a need to develop effective methods for its diagnosis. This study will provide new knowledge on osteoarthritis progression by allowing strategic use of national health resources. A fuzzy expert system, to be developed utilising the diagnostic/prognostic techniques of this study will significantly reduce cost and time. The project will contribute to the National Strategy by helping older Australians; the major group of osteoarthritis sufferers, to retain their health, independence and productivity.Read moreRead less
Multimodal biomedical imaging probes: development of advanced polymer nanocomposite devices for oncology. Despite significant research being directed toward cancer treatment, 7.6 million people died world wide in 2007. Early detection and treatment is widely recognised as being effective in significantly reducing mortality rates. Biomedical imaging techniques are routinely used for detection and staging of many cancers. However, greater sensitivity is required so that these techniques can be app ....Multimodal biomedical imaging probes: development of advanced polymer nanocomposite devices for oncology. Despite significant research being directed toward cancer treatment, 7.6 million people died world wide in 2007. Early detection and treatment is widely recognised as being effective in significantly reducing mortality rates. Biomedical imaging techniques are routinely used for detection and staging of many cancers. However, greater sensitivity is required so that these techniques can be applied to very early detection of tumours. To overcome this short-coming the next generation of imaging probes will be developed, which will require fundamental investigations in polymer and nanomaterials science to maximise imaging sensitivity and extend probe functionality. Successful outcomes will lead to significant benefits to healthcare in Australia.Read moreRead less
Detection and Quantification of General Fetal Movements from Accelerometer Measurements using Nonstationary Signal Processing Techniques. There are approximately 1,750 fetal deaths per year in Australian with about one-third occurring late in gestation and without an apparent cause. The development of an automated system capable of long-term monitoring of fetal health will result in accurate diagnoses and prediction of future outcome. This will, in turn, allow early intervention by the clinicia ....Detection and Quantification of General Fetal Movements from Accelerometer Measurements using Nonstationary Signal Processing Techniques. There are approximately 1,750 fetal deaths per year in Australian with about one-third occurring late in gestation and without an apparent cause. The development of an automated system capable of long-term monitoring of fetal health will result in accurate diagnoses and prediction of future outcome. This will, in turn, allow early intervention by the clinician to reduce fetal deaths and enhance the chances of good outcomes with resultant savings in social and financial costs to the community. The development of such equipment would spawn future research into intervention treatments and contribute to Australia's position as a world leader in computerised health monitoring systems.Read moreRead less
Non-invasive diagnosis using micropatches that sample biomarkers from skin. We are developing a technology called the micropatch that is laid onto the surface of the skin. When the patch is pulled away, it retains proteins found in the subsurface skin layers. We believe that by analysing these proteins we will be able to diagnose diseases like cancer earlier and therefore have a better chance of treating them successfully. The process is painless, and doctors already use it to give drugs and vac ....Non-invasive diagnosis using micropatches that sample biomarkers from skin. We are developing a technology called the micropatch that is laid onto the surface of the skin. When the patch is pulled away, it retains proteins found in the subsurface skin layers. We believe that by analysing these proteins we will be able to diagnose diseases like cancer earlier and therefore have a better chance of treating them successfully. The process is painless, and doctors already use it to give drugs and vaccines. In the future we hope that our technology will be simple enough for routine diagnosis, even in the Outback where doctors are hundreds of kilometres awayRead moreRead less
Automatic Brain Tissue Segmentation in Magnetic Resonance Images based on Knowledge-guided Constrained Clustering. Accurate volumetric measurement of brain tissues is of critical importance in the study of many brain disorders, disease diagnosis, disease progression tracking and treatment monitoring. The study in this research will result in the development of a powerful computational technique that allows automatic volumetric measurement and analysis of brain tissues. The software developed in ....Automatic Brain Tissue Segmentation in Magnetic Resonance Images based on Knowledge-guided Constrained Clustering. Accurate volumetric measurement of brain tissues is of critical importance in the study of many brain disorders, disease diagnosis, disease progression tracking and treatment monitoring. The study in this research will result in the development of a powerful computational technique that allows automatic volumetric measurement and analysis of brain tissues. The software developed in this project will expedite early clinical diagnosis and treatment of neural diseases for patients, hence saving life and reducing health cost both at the personal and the national level. Read moreRead less
Sequencing the mammalian transcriptome in toto. The mammalian genome projects have provided a huge leap forward for biological research by giving the framework to study genes on a global scale. This project will provide human genome project scale information for every major tissue in mammals and will provide the research community with a world class resource to further genomic research. It will also investigate parts of gene regulation which have been invisible to researchers in the past. Discov ....Sequencing the mammalian transcriptome in toto. The mammalian genome projects have provided a huge leap forward for biological research by giving the framework to study genes on a global scale. This project will provide human genome project scale information for every major tissue in mammals and will provide the research community with a world class resource to further genomic research. It will also investigate parts of gene regulation which have been invisible to researchers in the past. Discovering these rules will provide novel insights in pathology with a genetic component and provide a further boost to biotechnological approaches to obtain expression of specific sets of genes in model systems. Read moreRead less
Multi-Channel Time-Frequency Analysis for EEG Neonatal Seizure Characterization. This project researches new signal processing methodologies for a multi-channel characterization of seizures for use in diagnosing newborn brain dysfunctions. The outcomes will result in important immediate clinical benefits for sick newborn babies and will fundamentally facilitate research progress in the development of neuroprotectants and anticonvulsants. The success of this project will contribute in minimizing ....Multi-Channel Time-Frequency Analysis for EEG Neonatal Seizure Characterization. This project researches new signal processing methodologies for a multi-channel characterization of seizures for use in diagnosing newborn brain dysfunctions. The outcomes will result in important immediate clinical benefits for sick newborn babies and will fundamentally facilitate research progress in the development of neuroprotectants and anticonvulsants. The success of this project will contribute in minimizing the social financial costs by diagnosing brain disorders in the initial stage of life and preventing further damage. This has the potential to result in a standard diagnostic equipment in neonatal intensive care units and medical research centres.Read moreRead less
Correction of the Effects of Gradient Field Nonlinearity in Magnetic Resonance Imaging - A Complete 3-Dimensional Approach. The outcomes of this research will have direct benefits to various areas of diagnostic and interventional medicine especially in neurological diseases such as Alzheimer's disease, stroke, multiple sclerosis or brain tumors. The techniques developed in this project will in general enable MRI to provide a higher quality service to the community.
On-line and Incremental EM-based Neural Networks: Application to Hospital Utlilization and Gene Expression Data. Artificial neural networks have been widely applied as universal classifiers in many fields, such as biomedicine. However, misunderstanding of fundamental statistical principles, which can cause misleading findings, has been frequently observed in the literature. This project aims to integrate statistical methodologies in neural networks to provide a unified approach to improve its ....On-line and Incremental EM-based Neural Networks: Application to Hospital Utlilization and Gene Expression Data. Artificial neural networks have been widely applied as universal classifiers in many fields, such as biomedicine. However, misunderstanding of fundamental statistical principles, which can cause misleading findings, has been frequently observed in the literature. This project aims to integrate statistical methodologies in neural networks to provide a unified approach to improve its applicability and efficiency in implementation. The system developed from this proposed cross-disciplinary research will be applied to hospital utilization data (hospital morbidity database, Western Australia) and gene expression data (DNA microarrays databases, Harvard University). This collaborative research will advance the international standard of Australian research communities.
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Intelligent Image Processing Techniques for Novel Biomarker Discovery. This project will make an impact on Australia's international research profile by seeking a solution to a worldwide challenging problem in biomarker discovery for the detection of diseases at an early stage which requires the incorporation of the skills and knowledge from biology, medicine, engineering, computer science, and information technology. The successful outcomes of this research will make an impact on Australia's e ....Intelligent Image Processing Techniques for Novel Biomarker Discovery. This project will make an impact on Australia's international research profile by seeking a solution to a worldwide challenging problem in biomarker discovery for the detection of diseases at an early stage which requires the incorporation of the skills and knowledge from biology, medicine, engineering, computer science, and information technology. The successful outcomes of this research will make an impact on Australia's engagement in using advanced image analysis and intelligent methods for the emerging research and development of targeted drug discovery. Read moreRead less