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Australian State/Territory : QLD
Research Topic : statistical methods
Field of Research : Diagnostic Applications
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  • Funded Activity

    Discovery Projects - Grant ID: DP0985502

    Funder
    Australian Research Council
    Funding Amount
    $420,000.00
    Summary
    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 away
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    Funded Activity

    Linkage Projects - Grant ID: LP0349397

    Funder
    Australian Research Council
    Funding Amount
    $330,000.00
    Summary
    Gene Expression Profiling and de novo Transcriptome Sequencing using Geneballs. The purpose of the project is to demonstrate that bead-based technology can be used in applications that currently require DNA hybridisation in order to overcome existing deficiencies in microarray technology. By providing the capability to quickly and efficiently produce, screen and utilize biomolecule libraries of nearly unlimited size, this technology provides the key to unlock the power of genomics and proteomics .... Gene Expression Profiling and de novo Transcriptome Sequencing using Geneballs. The purpose of the project is to demonstrate that bead-based technology can be used in applications that currently require DNA hybridisation in order to overcome existing deficiencies in microarray technology. By providing the capability to quickly and efficiently produce, screen and utilize biomolecule libraries of nearly unlimited size, this technology provides the key to unlock the power of genomics and proteomics for use in real world applications. The project has two aspects. First, relatively small directed cDNA-bead libraries will be compared to known low-density cDNA microarrays to validate the technique for utility in gene expression profiling. Secondly, large libraries containing short oligonucleotide sequences will be used for de novo sequencing of a complete transcriptome. Proof-of-concept in either case will pave the way for many genomic applications and catapult the technology to 'blockbuster' status.
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    Funded Activity

    Linkage Projects - Grant ID: LP0212108

    Funder
    Australian Research Council
    Funding Amount
    $107,600.00
    Summary
    Coproantigen detection tests for diagnosis of intestinal parasitic nematode infection. The aim of this project is to develop new tests for detection of hookworm and Strongyloides, two common intestinal worm infections of humans. These tests offer the potential to replace current tests, namely stool microscopy and serodiagnosis, both of whose performance is unsatisfactory due to deficiencies in sensitivity, specificity and operator convenience. The tests will rely on monoclonal antibodies to dete .... Coproantigen detection tests for diagnosis of intestinal parasitic nematode infection. The aim of this project is to develop new tests for detection of hookworm and Strongyloides, two common intestinal worm infections of humans. These tests offer the potential to replace current tests, namely stool microscopy and serodiagnosis, both of whose performance is unsatisfactory due to deficiencies in sensitivity, specificity and operator convenience. The tests will rely on monoclonal antibodies to detect parasite products in stool. Such testing technology is amenable to configuration in a robust format, suitable for large-scale manufacture. Given the worldwide prevalence of these parasites, the tests will have a market potential of international significance.
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    Funded Activity

    Linkage Projects - Grant ID: LP0668437

    Funder
    Australian Research Council
    Funding Amount
    $202,500.00
    Summary
    Development and commercialization of novel diagnostic assays for the early detection of acute dengue virus infection. Dengue is an emerging disease of the tropics and is endemic in more than 100 countries with up to 100 million cases annually. Of these, 500,000 result in dengue haemorrhagic fever (DHF), a serious life-threatening complication of dengue virus infection. Dengue activity in northern Australia has increased in recent years with suggestions that it may be coming endemic in this count .... Development and commercialization of novel diagnostic assays for the early detection of acute dengue virus infection. Dengue is an emerging disease of the tropics and is endemic in more than 100 countries with up to 100 million cases annually. Of these, 500,000 result in dengue haemorrhagic fever (DHF), a serious life-threatening complication of dengue virus infection. Dengue activity in northern Australia has increased in recent years with suggestions that it may be coming endemic in this country. Early diagnosis, using NS1 based assays should facilitate containment of such outbreaks through earlier identification, treatment, isolation and strategic mosquito control.
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    Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0453920

    Funder
    Australian Research Council
    Funding Amount
    $108,680.00
    Summary
    Molecular diagnostics based on real-time polymerase chain reactions for emerging tropical infectious diseases aimed at protecting Australia from invasive diseases. The project aims to use the technique of real-time polymerase chain reaction to rapidly detect and quantify the organisms associated with emerging and re-emerging infectious diseases of man and animals. It will also be used to determine related gene expression. The equipment will be used to support a wide range of projects that req .... Molecular diagnostics based on real-time polymerase chain reactions for emerging tropical infectious diseases aimed at protecting Australia from invasive diseases. The project aims to use the technique of real-time polymerase chain reaction to rapidly detect and quantify the organisms associated with emerging and re-emerging infectious diseases of man and animals. It will also be used to determine related gene expression. The equipment will be used to support a wide range of projects that require the detection of specific RNA or DNA and it will allow the rapid, cost effective and efficient processing of either RNA or DNA from large numbers of samples. Minor variations in organisms will be detected using this equipment.
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    Funded Activity

    Discovery Projects - Grant ID: DP1094498

    Funder
    Australian Research Council
    Funding Amount
    $150,000.00
    Summary
    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.
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    Funded Activity

    Discovery Projects - Grant ID: DP0665697

    Funder
    Australian Research Council
    Funding Amount
    $240,000.00
    Summary
    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.
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    Funded Activity

    Linkage Projects - Grant ID: LP0562317

    Funder
    Australian Research Council
    Funding Amount
    $190,000.00
    Summary
    Design of Neonatal Seizure Diagnosis Methods Using Time-Frequency Signal Processing Techniques. Seizures occur in approximately 0.5% of all newborns. They are often the only indicator of an early dysfunction in central nervous system (CNS). Their occurrence raises concerns about the underlying cause, its effect on the brain, and the appropriate treatment. Newborn seizures are mostly sub-clinical and only detected through the Electroencephalogram. For an efficient diagnosis, seizure classificatio .... Design of Neonatal Seizure Diagnosis Methods Using Time-Frequency Signal Processing Techniques. Seizures occur in approximately 0.5% of all newborns. They are often the only indicator of an early dysfunction in central nervous system (CNS). Their occurrence raises concerns about the underlying cause, its effect on the brain, and the appropriate treatment. Newborn seizures are mostly sub-clinical and only detected through the Electroencephalogram. For an efficient diagnosis, seizure classification systems were proposed based on visual observations. This project proposes developing a novel approach to automate the classification process using time-frequency (TF) signal processing techniques based on the multi-channel characteristics of the seizure; namely: A) TF signature B) origin, and C) propagation behaviour.
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    Funded Activity

    Linkage Projects - Grant ID: LP0775089

    Funder
    Australian Research Council
    Funding Amount
    $210,000.00
    Summary
    Novel EEG data mining methods for detecting and monitoring brain injury. The outcomes of this project could ultimately help produce novel technology which would enable bedside monitoring of brain function in patients with brain injuries such as stroke. This technology could aid critical care and treatment of such patients. Hence patients' recoveries could be positively affected and the high death or disability rates associated with such conditions could be reduced. A host of economic and social .... Novel EEG data mining methods for detecting and monitoring brain injury. The outcomes of this project could ultimately help produce novel technology which would enable bedside monitoring of brain function in patients with brain injuries such as stroke. This technology could aid critical care and treatment of such patients. Hence patients' recoveries could be positively affected and the high death or disability rates associated with such conditions could be reduced. A host of economic and social benefits for patients, their families, hospitals and their staff, governments and healthcare organisations could thus result. The developed technology would be non-invasive, compact and relatively inexpensive, and could thus be used in rural and regional hospitals, thereby also benefiting patients in those communities.
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