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.
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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.
Validation Of A Multiplexed Blood Based Screening Assay For The Diagnosis Of Colorectal Cancer
Funder
National Health and Medical Research Council
Funding Amount
$556,712.00
Summary
Colorectal cancer (CRC) is the second most common cancer in Australia with poor patient outcome due to late detection of the disease. We have developed a simple blood based test that can diagnose individuals with CRC at an early stage when the chance of cure is greater than 80%.
Novel Functional Testing For Early Diabetic Retinopathy
Funder
National Health and Medical Research Council
Funding Amount
$447,578.00
Summary
About 7.5% of Australians have diabetes and 62% of them will have signs of damage to their eyes within 6 years of diagnosis. Diabetes is 2 to 3 times more common amongst Aboriginal Australians. A group of researchers at the Australian National University are collaborating to bring a new test for the severity of diabetic eye disease to the market within 3 years. The objective is to provide doctors with a rapid, cost-effective tool to help them recognize sight-threatening damage and to assist in t ....About 7.5% of Australians have diabetes and 62% of them will have signs of damage to their eyes within 6 years of diagnosis. Diabetes is 2 to 3 times more common amongst Aboriginal Australians. A group of researchers at the Australian National University are collaborating to bring a new test for the severity of diabetic eye disease to the market within 3 years. The objective is to provide doctors with a rapid, cost-effective tool to help them recognize sight-threatening damage and to assist in treatment.Read moreRead less
COMPLEX NETWORKS: DYNAMICS, OPTIMIZATION AND CONTROL. Complex networks such large power grids, the Internet, transportation networks and co-operation networks of all kinds provide challenges for frontier technologies particularly computing, communication and control. In particular, advanced societies have become dependent on large infrastructure networks to an extent beyond our capability to plan and control them. The recent spate of collapses in power grids and virus attacks on the Internet i ....COMPLEX NETWORKS: DYNAMICS, OPTIMIZATION AND CONTROL. Complex networks such large power grids, the Internet, transportation networks and co-operation networks of all kinds provide challenges for frontier technologies particularly computing, communication and control. In particular, advanced societies have become dependent on large infrastructure networks to an extent beyond our capability to plan and control them. The recent spate of collapses in power grids and virus attacks on the Internet illustrate the need for research on modelling, analysis of behaviour, planning and control in such networks. This project aims to establish research in this area for Australia's benefit.Read moreRead less
Exploring the Frontiers of Feasible Computation. The project aims to delineate the boundary between feasible and infeasible computational problems. A problem is considered feasible if there is an algorithm to solve it in worst-case time bounded by a polynomial in the input size. This is probably impossible for the important class of NP-complete problems. However, typical examples of NP-complete problems can often be solved in polynomial time, because worst-case problems are rare. The project is ....Exploring the Frontiers of Feasible Computation. The project aims to delineate the boundary between feasible and infeasible computational problems. A problem is considered feasible if there is an algorithm to solve it in worst-case time bounded by a polynomial in the input size. This is probably impossible for the important class of NP-complete problems. However, typical examples of NP-complete problems can often be solved in polynomial time, because worst-case problems are rare. The project is relevant to public-key cryptography, where breaking an encryption scheme should be infeasible, and to many real-life situations where NP-complete problems need to be solved, either exactly or approximately.Read moreRead less
Multicast in Single-Hop and Multi-Hop WDM Optical Networks. The emerging Wavelength-Division-Multiplexing (WDM) optical network is a promising candidate for next-generation Internet, which provides enormous bandwidth and fast connectivity. Multicast in WDM networks is a fundamental problem which has wide applications including teleconferencing, entertainment distribution, etc. In this project we investigate the multicast and constraint multicast problems in both single-hop and multi-hop WDM netw ....Multicast in Single-Hop and Multi-Hop WDM Optical Networks. The emerging Wavelength-Division-Multiplexing (WDM) optical network is a promising candidate for next-generation Internet, which provides enormous bandwidth and fast connectivity. Multicast in WDM networks is a fundamental problem which has wide applications including teleconferencing, entertainment distribution, etc. In this project we investigate the multicast and constraint multicast problems in both single-hop and multi-hop WDM networks by studying their computational complexities and devising scalable, high-quality approximation algorithms for them. The developed algorithms significantly improve the network performance and scalability, and the innovative approaches and algorithm techniques developed in this project are also applicable to other routing problems.Read moreRead less
Dynamics and Security Control of Complex Networks. The research will yield basic techniques to analyse, design and operate complex networks so that security, as well as performance, is achieved. These techniques will be further developed towards particular applications including power grids and telecommunication networks. However, the emphasis is on providing basic ideas and techniques.
Sparse grid approximations and fitting using generalised combination techniques. Sparse grid techniques provide an effective tool to deal with the
computational curse of dimensionality which is a constant challenge in
modelling complex data. The proposed research is aimed at the
development and analysis of algorithms for data fitting with sparse
grids using variants of the combination technique. The outcome of the
research is a theory which will provide insights in the applicability,
limit ....Sparse grid approximations and fitting using generalised combination techniques. Sparse grid techniques provide an effective tool to deal with the
computational curse of dimensionality which is a constant challenge in
modelling complex data. The proposed research is aimed at the
development and analysis of algorithms for data fitting with sparse
grids using variants of the combination technique. The outcome of the
research is a theory which will provide insights in the applicability,
limitations and the convergence properties of the proposed
algorithms. The outcomes will be widely applicable in modelling of
large scale and complex data as is encountered in areas of
bioinformatics, physics and experimental studies of complex systems.
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