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.
Discovery Early Career Researcher Award - Grant ID: DE240100168
Funder
Australian Research Council
Funding Amount
$413,847.00
Summary
Self-Supervised Sequential Biomedical Image-Omics. This project aims to develop a self-supervised sequential biomedical image-omics model to uncover the underlying biological processes e.g., normal or abnormal. Sequential biomedical images are state-of-the-art imaging modalities which allow to depict changes in progression to the human body. New self-supervised machine learning algorithms are proposed to derive features from heterogenous and unlabelled sequential images. These derived features w ....Self-Supervised Sequential Biomedical Image-Omics. This project aims to develop a self-supervised sequential biomedical image-omics model to uncover the underlying biological processes e.g., normal or abnormal. Sequential biomedical images are state-of-the-art imaging modalities which allow to depict changes in progression to the human body. New self-supervised machine learning algorithms are proposed to derive features from heterogenous and unlabelled sequential images. These derived features will then be used to characterise the morphological and functional changes, which provide opportunities to increase understanding of progression of diseases of individual subject. The outcome from this project will provide new insights into system biology with potential future benefits in healthcare.Read moreRead less
Development Of Microscope-in-a-needle Devices For Improved Clinical Diagnostics
Funder
National Health and Medical Research Council
Funding Amount
$327,746.00
Summary
We have developed a new high-resolution optical imaging technology. The unique aspect of our research has been to redesign the imaging probe, miniaturising it to a few hundred microns in diameter, and encase it in a hypodermic needle – a ‘microscope-in-a-needle’. We are developing specific imaging probes to aid in the assessment of lung disease; the diagnosis of liver disease; and integrated into a brain biopsy needle to enable safer brain biopsies.
Single Shot X-ray Tomography For Real-Time Functional X-ray Imaging
Funder
National Health and Medical Research Council
Funding Amount
$322,641.00
Summary
Computed Tomography (CT) scanners produce three-dimensional images of vital organs that cannot be obtained by conventional two-dimensional (single projection) x-ray radiographs. However, the radiation exposure is hundreds of times higher than conventional radiography. We will develop the world’s first CT scanner that uses no more radiation than a single conventional x-ray image that will provide four-dimensional reconstructions of a patient’s moving internal organs.
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.
Developing Interpretable Machine Learning Models For Clinical Imaging And Single-cell Genomics
Funder
National Health and Medical Research Council
Funding Amount
$1,312,250.00
Summary
Machine learning methods will be vital to make best use of the deluge of data generated by high-throughput technologies in biomedical science. To get the most out of these models, however, we need to be able to unpack the 'black box'. I will use curated clinical and public research data to benchmark and develop interpretable deep learning models and software tools. These models will be used for breast cancer screening programs and for analysis of complex, large-scale single-cell genomics data.
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
Human interaction with context-aware computing systems. Context-aware systems can provide seamless support of IT applications in a variety of technologies and therefore can improve: (i) work performance and adoption of IT in many industries; and (ii) the quality of life through better support for health services, education, and everyday tasks. Currently proposed solutions for context-aware systems fail to deliver systems which are usable for non-IT professionals. The proposed project will show h ....Human interaction with context-aware computing systems. Context-aware systems can provide seamless support of IT applications in a variety of technologies and therefore can improve: (i) work performance and adoption of IT in many industries; and (ii) the quality of life through better support for health services, education, and everyday tasks. Currently proposed solutions for context-aware systems fail to deliver systems which are usable for non-IT professionals. The proposed project will show how to design context-aware systems that are usable and whose autonomic decisions can be trusted. Additional benefits include increased scientific competitiveness of Australia, strengthened collaboration with international research institutions, and high quality graduates (PhDs, Masters, Honours).Read moreRead less
From The Synchrotron To The Clinic: Translation Of A Novel Functional Lung Imaging Technology
Funder
National Health and Medical Research Council
Funding Amount
$891,834.00
Summary
Our team has recently developed a synchrotron technology with a startling capacity for dynamic functional imaging that can act as a sensitive regional indicator of lung disease. We will demonstrate that this technology can be translated from the synchrotron to the lab and eventually the clinic. We will provide proof of this concept by the application of this technology to emphysema, asthma, lung cancer, cystic fibrosis lung disease and neonatal resuscitation.
Imaging Neutrophil And Endothelial Function In Acute Glomerulonephritis
Funder
National Health and Medical Research Council
Funding Amount
$545,517.00
Summary
The glomerulus is a group of small blood vessels which form the filtering component of the kidney. In many diseases, it can be the target of an inappropriate inflammatory response during which white blood cells accumulate in the glomerular blood vessels and cause damage. In this project, we will visualise the blood vessel lining of the glomerulus in order to understand how white blood cells damage this region and cause leakage of protein leak into the urine.