The multiplexed diagnosis of arbovirus infections using combinatorial probes. Viruses that cause serious diseases such as hemorrhagic fever or encephalitis must be quickly identified. Diagnostic tests based on DNA hybridisation are accurate and can be rapid but they are expensive. We will test a method for simplifying DNA tests and increasing their capabilities. DNA probes for detecting arboviruses will be designed at the ANU using new bioinformatic methods and their reliability will be model ....The multiplexed diagnosis of arbovirus infections using combinatorial probes. Viruses that cause serious diseases such as hemorrhagic fever or encephalitis must be quickly identified. Diagnostic tests based on DNA hybridisation are accurate and can be rapid but they are expensive. We will test a method for simplifying DNA tests and increasing their capabilities. DNA probes for detecting arboviruses will be designed at the ANU using new bioinformatic methods and their reliability will be modelled using all the available genetic information. Computer predictions will be experimentally tested in the PANBIO laboratory by using the probes to detect viral nucleic acids. The influence of virus genome complexity will be investigatedRead moreRead less
Identifying technological trajectories using machine learning algorithms. This project aims to improve our understanding of why scientific knowledge progresses in certain directions and what causes it to grow faster or slower across fields. The project will create new neural-network machine-learning algorithms to scan patent and scientific article texts (specifications and claims) for natural language concepts. The results will potentially be used by patent offices to improve their own database ....Identifying technological trajectories using machine learning algorithms. This project aims to improve our understanding of why scientific knowledge progresses in certain directions and what causes it to grow faster or slower across fields. The project will create new neural-network machine-learning algorithms to scan patent and scientific article texts (specifications and claims) for natural language concepts. The results will potentially be used by patent offices to improve their own database search, by business analytics companies to reveal new technologies and potential collaborators, and by academic economists to understand how knowledge travels and accumulates.
Read moreRead less
Sino-Australian neurogenetics initiative. This project will undertake large population studies to identify genes that are associated with motor neuron disease, schizophrenia and intracranial haemorrhage. The project will determine genetic markers, aid development of diagnostic tools and identify new therapeutic targets for these common heritable neurological diseases.
Investigation and Development of Parallel Large Scale Record Linkage Techniques. Record linkage aims at matching records of the same entity (like customer or patient) in large (administrative) databases. The outcomes of the proposed research will improve current techniques in terms of efficiency, accuracy and the need for human intervention. Through experimental studies and stochastic modelling the performance of traditional and new methods for data cleaning, standardisation and linkage will be ....Investigation and Development of Parallel Large Scale Record Linkage Techniques. Record linkage aims at matching records of the same entity (like customer or patient) in large (administrative) databases. The outcomes of the proposed research will improve current techniques in terms of efficiency, accuracy and the need for human intervention. Through experimental studies and stochastic modelling the performance of traditional and new methods for data cleaning, standardisation and linkage will be assessed. The effect of the statistical dependency of attribute values will be studied. New methods using clustering for blocking large datasets, and predictive models including interaction terms will be implemented, analysed and evaluated on high-performance computers and office-based PC clusters.
Read moreRead less
Rapid detection of rare-event cells by strong UP-conversion
encoded nano-radiators (SUPER Dots): finding a needle in a haystack. Current diagnostic tests are not sensitive enough to detect cancer in its very early stages or early recurrence following treatment. The new technologies developed by this project will be able to find single cancer cells in blood and urine samples heralding a new era in medical diagnostics.
New methods to improve regional isotope therapy of liver tumours in cancer patients. The most common cause of death in cancer patients is secondary tumours in vital organs. Successful treatment of liver tumours with regional isotope therapy now offers improved survival rates. This project will research novel radiolabelled nanoparticles and advanced computer imaging algorithms to improve regional isotope therapy of liver tumours. It will provide better methods of objective assessment and manageme ....New methods to improve regional isotope therapy of liver tumours in cancer patients. The most common cause of death in cancer patients is secondary tumours in vital organs. Successful treatment of liver tumours with regional isotope therapy now offers improved survival rates. This project will research novel radiolabelled nanoparticles and advanced computer imaging algorithms to improve regional isotope therapy of liver tumours. It will provide better methods of objective assessment and management that can reduce risk and improve patient survival.Read moreRead less
Terahertz lasers in the fight against illicit substances. This project aims to investigate the application of cutting-edge terahertz laser technology with new spectroscopic methods, for detection of illicit substances. Using a collaborative approach, the project aims to bring together expertise in laser physics, spectroscopy, law enforcement and instrumentation, and seeks to develop new sources and detection protocols which will offer new capabilities to law enforcement, aiding in detection and ....Terahertz lasers in the fight against illicit substances. This project aims to investigate the application of cutting-edge terahertz laser technology with new spectroscopic methods, for detection of illicit substances. Using a collaborative approach, the project aims to bring together expertise in laser physics, spectroscopy, law enforcement and instrumentation, and seeks to develop new sources and detection protocols which will offer new capabilities to law enforcement, aiding in detection and identification protocols for illicit substances.Read moreRead less
Predicting the diagnostic performance of individuals and organisations. Predicting the diagnostic performance of individuals and organisations. This project aims to address diagnostic error in advanced technology systems, by providing a mechanism to assess and improve individual diagnosticians’ performance. Organisations that rely on their employees’ diagnostic skills rarely assess them once the operators become qualified, so there is no basis for interventions that might prevent diagnostic erro ....Predicting the diagnostic performance of individuals and organisations. Predicting the diagnostic performance of individuals and organisations. This project aims to address diagnostic error in advanced technology systems, by providing a mechanism to assess and improve individual diagnosticians’ performance. Organisations that rely on their employees’ diagnostic skills rarely assess them once the operators become qualified, so there is no basis for interventions that might prevent diagnostic errors affecting thousands. This research tests a new method of assessing diagnostic skills based on how skilled operators respond to cues. This project will test how employees’ diagnostic skills change and whether this change corresponds to measures of organisational performance. This research is expected to provide organisations with a tool to pre-empt diagnostic errors that could minimise costs to the economy.Read moreRead less
Protein biosensors for detecting smoke exposure of grapes. Bush fires and controlled burns that take place in the vicinity of vineyards can lead to grape contamination with tasteless phenolic glucosides. Their hydrolysis during wine making leads to “smoke taint” – an unpleasant medicinal taste that can render wine undrinkable. We will apply a combination of organic synthesis, protein engineering and directed evolution to develop protein-based biosensors of phenolic glucosides. These biosensors w ....Protein biosensors for detecting smoke exposure of grapes. Bush fires and controlled burns that take place in the vicinity of vineyards can lead to grape contamination with tasteless phenolic glucosides. Their hydrolysis during wine making leads to “smoke taint” – an unpleasant medicinal taste that can render wine undrinkable. We will apply a combination of organic synthesis, protein engineering and directed evolution to develop protein-based biosensors of phenolic glucosides. These biosensors will be used to devise a simple portable colorimetric test that can be performed in the vineyard or the winery. The ability to rapidly determine the level of grape contamination with phenolic glucosides would give Australian wine growers and wine makers a powerful tool to mitigate the effects of bushfires.Read moreRead less
New Methods for Directed Molecular Evolution of Novel Protein Functions. Novel ribosome-based techniques can be used to carry out test-tube evolution of proteins with new structures and functions. The methods rely on (a) physical association of individual nucleic acid molecules with the particular protein molecules they encode, (b) selection of proteins with new functions, and (c) recovery of the attached genetic code. This project will address several issues that currently limit use of these fr ....New Methods for Directed Molecular Evolution of Novel Protein Functions. Novel ribosome-based techniques can be used to carry out test-tube evolution of proteins with new structures and functions. The methods rely on (a) physical association of individual nucleic acid molecules with the particular protein molecules they encode, (b) selection of proteins with new functions, and (c) recovery of the attached genetic code. This project will address several issues that currently limit use of these frontier technologies for evolution of new protein products that have a wide range of practical applications.Read moreRead less