Low Cost High Precision Radiotherapy: A Synergistic Framework For Tumour Tracking During Treatment
Funder
National Health and Medical Research Council
Funding Amount
$318,768.00
Summary
Advances in technology have enabled radiotherapy to become more sophisticated and more efficient at treating cancer. Yet, despite its sophistication, today radiotherapy suffers from a major problem: whilst we routinely image patients prior to treatment, no anatomical information is available during treatment. This project aims to solve this problem by making use of a number of sensors that are already available in a radiotherapy to track the tumours positions during treatment, when it counts.
Mathematical Modelling For Improved Planning Of Infectious Diseases Control Policy
Funder
National Health and Medical Research Council
Funding Amount
$2,750,000.00
Summary
We will develop high-level technical capacity in mathematical modeling of infectious disease transmission and control in Australia, with a focus on research that informs health policy. The aim is to assist Australia to have efficient and effective control strategies and help to prepare us against the threat of emerging infections. Priority areas are vaccination programs, HIV-AIDS, emerging infections and bio-terrorism. Six talented young researchers will be trained by the lead applicant team. To ....We will develop high-level technical capacity in mathematical modeling of infectious disease transmission and control in Australia, with a focus on research that informs health policy. The aim is to assist Australia to have efficient and effective control strategies and help to prepare us against the threat of emerging infections. Priority areas are vaccination programs, HIV-AIDS, emerging infections and bio-terrorism. Six talented young researchers will be trained by the lead applicant team. Together, we will develop a prominent and experienced research team capable of sustaining international quality research into the future. Their work will meet immediate, existing policy needs at state, national and global levels. The program includes the establishment of a Network of Infectious Diseases Modellers of Australia (NIDMA) as a research resource of national expertise, peer support and a means of ongoing communication and collaboration in infectious diseases control. The critical mass of modeling expertise that we create will be sustainable long-term, and will expand to support research concerned with chronic and other non-infectious diseases after the lifetime of the grant.Read moreRead less
Increasing the effectiveness of quantitative verification. The ability to analyse the performance of complex systems and protocols is a vital part of the development of large-scale computer applications. Methods that improve the effectiveness of the analysis task would increase the competitiveness of the software industry, and would attract future development work (in complex systems) to Australia. The results of this project will have a direct influence on currently available design tools; the ....Increasing the effectiveness of quantitative verification. The ability to analyse the performance of complex systems and protocols is a vital part of the development of large-scale computer applications. Methods that improve the effectiveness of the analysis task would increase the competitiveness of the software industry, and would attract future development work (in complex systems) to Australia. The results of this project will have a direct influence on currently available design tools; the fact that Australian institutions will be (in part) responsible for key theoretical results in this growing field will strengthen Australia's position worldwide as an international centre for computer science.Read moreRead less
Bayesian Inference for Multivariate Hierarchical Regression Models. This project will develop Bayesian methodology for analysing multivariate regression models. The distribution of each measurement can be discrete or continuous, with the dependence between measurements obtained through the correlation matrix of a Gaussian copula. Model parsimony is obtained by identifying zero elements in the correlation matrix or its inverse and by variable selection on the regression parameters. The results wi ....Bayesian Inference for Multivariate Hierarchical Regression Models. This project will develop Bayesian methodology for analysing multivariate regression models. The distribution of each measurement can be discrete or continuous, with the dependence between measurements obtained through the correlation matrix of a Gaussian copula. Model parsimony is obtained by identifying zero elements in the correlation matrix or its inverse and by variable selection on the regression parameters. The results will be applied to solve problems in finance, health management and marketing. In all these fields multiple observations are often taken per individual or time period and the models need to incorporate measures of dependence and uncertainty.Read moreRead less
Optimising Intervention Strategies To Reduce The Burden Of Group A Streptococcus In Aboriginal Communities
Funder
National Health and Medical Research Council
Funding Amount
$856,896.00
Summary
Skin sores are highly prevalent in remote Australian Indigenous communities and can lead to invasive infections and rheumatic heart disease. We will develop mathematical models to understand the transmission of skin sores, allowing us to define the optimal extent (household, community, region), timing and triggers for interventions to interrupt transmission. This will guide public health policy in reducing the prevalence of skin sores and scabies, and their accompanying disease burden.
Biofocussed Prostate Cancer RadioTherapy (BiRT): A Personalised Approach To Delivering The Right Dose To The Right Place
Funder
National Health and Medical Research Council
Funding Amount
$753,565.00
Summary
We propose a new approach to treating prostate cancer with radiotherapy to move from the standard whole prostate treatment to a personalised treatment that varies radiation intensity throughout the prostate. We will mathematically combine features that influence radiotherapy effect from advanced imaging, clinical and biopsy information. This model will map out the radiotherapy dose required at each part of the prostate, to maximise killing of the cancer whilst minimising harm to normal tissue
Modelling The Impact Of Strategies To Control Gonorrhoea And Minimise The Threat Of Antimicrobial Resistance In Remote Indigenous And Other High Risk Populations
Funder
National Health and Medical Research Council
Funding Amount
$467,079.00
Summary
Gonorrhoea is a serious public health issue in Australia. Notification rates are disproportionately high among Aboriginal and Torres Strait Islander people and men who have sex with men, and there is evidence of an emerging epidemic in the general heterosexual population. Additionally, available treatments are under threat from resistant strains. We will use mathematical modelling to evaluate strategies for controlling gonorrhoea and for minimising the threat of antimicrobial resistance.
Asynchronous Continuous Time Conditioning. Methodology for reasoning about Asynchronous Temporal Conditional Events (ATCE) obtains, complete with logical calculus for causal relations, reasoning about continuous time belief change, and markov chain algorithms calculating joint distributions of ATCE's.
Current techniques, including bayesian nets, are oblivious to temporal aspects; within our model they can be enhanced to recognize dynamic time changes. Ours is the first such unified model and ....Asynchronous Continuous Time Conditioning. Methodology for reasoning about Asynchronous Temporal Conditional Events (ATCE) obtains, complete with logical calculus for causal relations, reasoning about continuous time belief change, and markov chain algorithms calculating joint distributions of ATCE's.
Current techniques, including bayesian nets, are oblivious to temporal aspects; within our model they can be enhanced to recognize dynamic time changes. Ours is the first such unified model and first to link conditional objects with continuous time constraints.
Need for structures we propose arises in diagnostic reasoning, bayesian learning, temporal databases, and time-dependent data mining. Several commercial products (like Microsoft Office Assistant)could apply them forthwith.Read moreRead less
Market Model of Implied Volatility. The outcomes of the project will constitute a new methodology with a wide range of tools to handle the market uncertainties with practical applications in the finance industry. Consequently, the benefits of this project to the nation include enhancing its scientific standing in the international community, the training of Australian researchers in forefront methods of modelling of complex stochastic systems and the benefits resulting from its commercially rele ....Market Model of Implied Volatility. The outcomes of the project will constitute a new methodology with a wide range of tools to handle the market uncertainties with practical applications in the finance industry. Consequently, the benefits of this project to the nation include enhancing its scientific standing in the international community, the training of Australian researchers in forefront methods of modelling of complex stochastic systems and the benefits resulting from its commercially relevant elements. Read moreRead less
ARC Centre in Bioinformatics. The Australian Centre for Genome-Phenome Bioinformatics will examine how the genome comes to life in the mammalian cell during differentiation and development. We will model, visualise and experimentally validate the complex cellular systems and regulatory networks that control the transformation of genomic information into biological structure and function. We will develop novel approaches and tools to improve health, optimise agricultural production and exploit ne ....ARC Centre in Bioinformatics. The Australian Centre for Genome-Phenome Bioinformatics will examine how the genome comes to life in the mammalian cell during differentiation and development. We will model, visualise and experimentally validate the complex cellular systems and regulatory networks that control the transformation of genomic information into biological structure and function. We will develop novel approaches and tools to improve health, optimise agricultural production and exploit new cell technologies. The Centre will build critical mass and national focus in bioinformatics to generate the human capital and intellectual property that Australia needs to compete in advanced bioscience and biotechnology.Read moreRead less