Improving Patient Safety In Radiation Therapy With The Watchdog Real-time Treatment Delivery Verification System
Funder
National Health and Medical Research Council
Funding Amount
$593,742.00
Summary
Radiation therapy is a highly effective cancer treatment with extremely high doses delivered using very complex treatment machines. Unfortunately errors have occurred resulting in cases of patient death and mistreatment. We have developed a novel method to assess the treatment delivery in real-time to prevent errors. The method uses imaging devices that are already present on the treatment machine meaning that this method could have a major impact on patient safety in modern radiation therapy.
Optimising Radiation Therapy Delivery For Cancer Patients Using Daily Image Guidance To Maximize Cure And Reduce Normal Tissue Side Effects
Funder
National Health and Medical Research Council
Funding Amount
$510,968.00
Summary
When using radiotherapy to kill tumours, the radiation beams need to be targeted at the tumour, plus a margin of error around it to ensure that it receives sufficient dose despite uncertainties in its exact location relative to reference points used for beam alignment. Advanced statistical modelling techniques applied to data collected from patients will be used to determine the optimal margin width for individual patients to maximise cancer cure while minimising normal tissue side effects.
Effective software vulnerability detection for web services. This project aims to design and implement new and better methods to find vulnerabilities in software services delivered over the web or through the cloud, as well as methods for proving the absence of certain types of vulnerability. So-called injection attacks are pervasive and generally considered the most important security threat on today's Internet. The programming languages used for software services tend to use strings as a unive ....Effective software vulnerability detection for web services. This project aims to design and implement new and better methods to find vulnerabilities in software services delivered over the web or through the cloud, as well as methods for proving the absence of certain types of vulnerability. So-called injection attacks are pervasive and generally considered the most important security threat on today's Internet. The programming languages used for software services tend to use strings as a universal data structure, which unfortunately makes it hard to separate trusted code from untrusted user-provided data. This project intends to develop novel program analysis tools and string constraint solvers, and employ these tools to support sophisticated automated reasoning about string manipulating software.Read moreRead less
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.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0347131
Funder
Australian Research Council
Funding Amount
$115,490.00
Summary
Intelligent Computer System to Access Information Directly from the Brain Using High Resolution Electroencephalography and Repetitive Transcranial Magnetic Stimulation. The ambitious aim of this project is to create a novel intelligent computer system which accesss information from the brain. To do this we use repetitive Transcranial Magnetic Stimulation and high resolution Electroencephalography.
Improving Global Tuberculosis Control With The AuTuMN Platform
Funder
National Health and Medical Research Council
Funding Amount
$655,059.00
Summary
Tuberculosis (TB) is the world’s leading infectious killer, with the failure of global control responsible for the vast majority of Australia’s cases. Using our robustly developed software platform, we have performed several country-level studies to predict the future burden of disease and compare the impact of alternative responses to controlling the epidemic. In this project, we will extend our platform to perform simulations at the global level and answer key questions in TB control.
Precision Nanomedicine-based Diagnostics And Therapeutics For Refractory Malignancies
Funder
National Health and Medical Research Council
Funding Amount
$7,329,484.00
Summary
The vast majority of cancer patients die of their disease due to the emergence of drug resistant cancer cells or metastatic disease that is diagnosed at late stages. Our program aims to develop new types of therapy to specifically target aggressive cancers. To detect cancer early and evaluate the effectiveness of cancer therapy, we will develop sensitive diagnostic tools and devices. This research has application to both childhood and adult cancers.
An Integrative and Interactive Approach for Co-estimation of Multiple Sequence Alignment and Phylogeny Reconstruction. In this project innovative IT methods will be developed to assist biologists to solve complex and important biological problems. Many important applications in computational biology need very accurate and reliable tools for multiple sequence alignment and phylogeny reconstruction. Unfortunately, current existing tools are unreliable and are prone to serious errors when applied t ....An Integrative and Interactive Approach for Co-estimation of Multiple Sequence Alignment and Phylogeny Reconstruction. In this project innovative IT methods will be developed to assist biologists to solve complex and important biological problems. Many important applications in computational biology need very accurate and reliable tools for multiple sequence alignment and phylogeny reconstruction. Unfortunately, current existing tools are unreliable and are prone to serious errors when applied to large and divergent biological sequences. The success of this project will not only make significant contribution to the relevant research fields, but also help achieve goals in certain real-life biological research projects which are unique and important to Australia.Read moreRead less
Achieving Tailored Industrial Software Process Improvement with Experience Repositories and Electronic Process Guides. There is a well-recognised need for organisations to improve their software development processes in order to achieve higher software quality and greater efficiencies in development. The use of electronic process guides and experience repositories have been two technologies independently proposed to achieve these aims. This research will develop a framework, methods and tools ....Achieving Tailored Industrial Software Process Improvement with Experience Repositories and Electronic Process Guides. There is a well-recognised need for organisations to improve their software development processes in order to achieve higher software quality and greater efficiencies in development. The use of electronic process guides and experience repositories have been two technologies independently proposed to achieve these aims. This research will develop a framework, methods and tools to allow integration of experience repositories and electronic process guides to facilitate process tailoring, process improvement, and project management. The result will be significant improvements in software development productivity and quality.Read moreRead less
Viewable Measures for Component-Based Software Engineering. Software costs over US$300 billion per year worldwide with around 70% of large projects failing to complete in time. Reliable estimation of development effort is a great challenge in Software Engineering. This project aims to develop a reliable multi-dimensional software size measure and an effort estimation model for a new method of development called component based software engineering. We will validate our results theoretically and ....Viewable Measures for Component-Based Software Engineering. Software costs over US$300 billion per year worldwide with around 70% of large projects failing to complete in time. Reliable estimation of development effort is a great challenge in Software Engineering. This project aims to develop a reliable multi-dimensional software size measure and an effort estimation model for a new method of development called component based software engineering. We will validate our results theoretically and test it against empirical data from software industry. We will provide novel visualization techniques to comprehend measurements of large systems. The outcomes will help software projects better estimate deadlines and budgets thus reducing costs significantly.Read moreRead less