Improving Quality Of Life In High-risk Cancer Populations: A Randomised Trial Of A Structured Intervention For Head And Neck Cancer Survivors
Funder
National Health and Medical Research Council
Funding Amount
$493,220.00
Summary
Patients treated for head and neck cancer commonly experience pain, disfigurement, eating difficulties, depression and fatigue, undermining confidence and quality of life. This study aims to help patients self-manage their ongoing health problems following completion of treatment. This will be achieved through a randomised trial in which patients will be assisted by a trained oncology nurse to develop a tailored survivorship care plan focusing on the patient’s specific medical and emotional conc ....Patients treated for head and neck cancer commonly experience pain, disfigurement, eating difficulties, depression and fatigue, undermining confidence and quality of life. This study aims to help patients self-manage their ongoing health problems following completion of treatment. This will be achieved through a randomised trial in which patients will be assisted by a trained oncology nurse to develop a tailored survivorship care plan focusing on the patient’s specific medical and emotional concerns.Read moreRead less
The Women’s Wellness After Cancer Program: A National Multisite Randomised Clinical Trial Of An E-Health Enabled Lifestyle Modification Intervention To Improve The Health And Wellness Of Women After Cancer Treatment
Funder
National Health and Medical Research Council
Funding Amount
$1,209,031.00
Summary
Advances in diagnostics, treatment and clinical practice have transformed some cancers from fatal to chronic and sometimes curable diseases. Many Australian women now live with the effects of cancer treatment and are at risk of cancer recurrence, chronic disease and poor quality of life. The Womens Wellness After Cancer Program aims to maximise the wellbeing of women treated for cancer, utilising internet and Smartphone technology to support them to live healthier lifestyles.
Automatic cartilage segmentation in magnetic resonance imaging. Osteoarthritis (OA) is the most common form of arthritis, affecting nearly 1.4 million Australians. This research aims at engineering new tools for use in Magnetic Resonance Imaging systems to enable automated analyses of the cartilage and bones in joint images. The goals of the work are to assist with improved diagnosis and treatment planning for both chronic disease, such as OA, and acute injuries, such as cartilage and ligament ....Automatic cartilage segmentation in magnetic resonance imaging. Osteoarthritis (OA) is the most common form of arthritis, affecting nearly 1.4 million Australians. This research aims at engineering new tools for use in Magnetic Resonance Imaging systems to enable automated analyses of the cartilage and bones in joint images. The goals of the work are to assist with improved diagnosis and treatment planning for both chronic disease, such as OA, and acute injuries, such as cartilage and ligament tears in sporting injuries and other traumas.
The software developed will be provided on the project’s partner (Siemens) platform and will therefore be available worldwide and have a consequently large impact on the field.
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Techniques to use stereo vision for improving person identification systems based on face recognition. The broad aim of this project is to use three-dimensional information available by processing images from stereo cameras in order to bridge the gap between constrained face recognition systems and viable systems that work well under varying illumination, changes in pose and variations in spectacles, facial hair and attire. Such a system will be useful in passenger verification at airports and a ....Techniques to use stereo vision for improving person identification systems based on face recognition. The broad aim of this project is to use three-dimensional information available by processing images from stereo cameras in order to bridge the gap between constrained face recognition systems and viable systems that work well under varying illumination, changes in pose and variations in spectacles, facial hair and attire. Such a system will be useful in passenger verification at airports and as a component of personal identification systems to counter terrorism. The key to successful face location and recognition is an effective combination of all data - range, luminance and colour - and techniques for this will be the discovered outcomes.Read moreRead less
Development And Evaluation Of A Tailored Fatigue Self-management Behavioural Intervention For Patients With Advanced Cancer
Funder
National Health and Medical Research Council
Funding Amount
$157,836.00
Summary
Fatigue (tiredness and exhaustion) is one of the most distressing symptoms experienced by 74% of patients with advanced cancer. This research program aims to develop a sustainable intervention for enabling patients to use self-management strategies, thereby reducing the severity and impact of fatigue.
Discovery Early Career Researcher Award - Grant ID: DE230101105
Funder
Australian Research Council
Funding Amount
$422,318.00
Summary
Developing Polymer Electrolytes for Operational All-Solid-State Batteries. This project aims to advance the development of safe rechargeable all-solid-state batteries (ASSBs) by innovating fluorinated block copolymers as solid-state electrolytes. ASSBs are the most promising power source for emerging energy storage goals, however, low ionic conductivity and poor long-term cycling stability are critical bottlenecks to their successful application. This project seeks to tackle these challenges by ....Developing Polymer Electrolytes for Operational All-Solid-State Batteries. This project aims to advance the development of safe rechargeable all-solid-state batteries (ASSBs) by innovating fluorinated block copolymers as solid-state electrolytes. ASSBs are the most promising power source for emerging energy storage goals, however, low ionic conductivity and poor long-term cycling stability are critical bottlenecks to their successful application. This project seeks to tackle these challenges by fabricating unique ionic conduction channels and stabilising electrode-electrolyte interfaces using fluorinated block copolymer electrolytes. The expected outcomes are new knowledge in polymer electrolytes and advancement in the commercialisation of ASSBs toward more efficient, safe and reliable energy storage technologies.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0561231
Funder
Australian Research Council
Funding Amount
$671,715.00
Summary
MRI GRID Computing Facility: Design, Optimisation and Image Processing. The MRI Grid Computing Facility provides the IT infrastructure to achieve effective e-research in the area of magnetic resonance (MR) imaging, a field of neuroscience research that revolutionizes the way brain diseases are identified and treated. The facility consists of a dedicated high performance grid compute engine, distributed visualisation workstations, and distributed data warehouse facilities. Software tools acc ....MRI GRID Computing Facility: Design, Optimisation and Image Processing. The MRI Grid Computing Facility provides the IT infrastructure to achieve effective e-research in the area of magnetic resonance (MR) imaging, a field of neuroscience research that revolutionizes the way brain diseases are identified and treated. The facility consists of a dedicated high performance grid compute engine, distributed visualisation workstations, and distributed data warehouse facilities. Software tools accessible through the Internet will enable researchers to archive, retrieve and exchange data and software; access distributed MR image databases and the latest MR image analysis tools; schedule analysis tasks on the grid compute engine, the outcomes of which will be visualized by the visualization workstations.Read moreRead less
Automated Vector Extraction from Airborne Laser Scan Data. This project considers the problem of automatically extracting and vectorising the outlines of objects from Airborne Laser Scanning (ALS) data. The industry partner, AAM GeoScan, is a leading user of ALS systems in Australia, and has a need to develop automated solutions to this problem. ALS data is typically a dense cloud of 3D point data which represents the local terrain, as well as any trees, buildings or vehicles which may be in t ....Automated Vector Extraction from Airborne Laser Scan Data. This project considers the problem of automatically extracting and vectorising the outlines of objects from Airborne Laser Scanning (ALS) data. The industry partner, AAM GeoScan, is a leading user of ALS systems in Australia, and has a need to develop automated solutions to this problem. ALS data is typically a dense cloud of 3D point data which represents the local terrain, as well as any trees, buildings or vehicles which may be in the field of view. Spatial data is a very important resource, widely used in many types of urban and rural planning operations. Planning software packages require vectorised descriptions of building outlines and other spatial data, however this is not presently available from raw ALS data. The project will investigate this problem and develop new and effective means for producing it automatically from raw ALS data. Expected outcomes include a successful research masters studentship, the development of novel solutions to the problem which are directly applicable to the industry partner's core business, peer reviewed publications, and an strengthened link between the universities and the industry partner.Read moreRead less
Developing key vision technology for automation of aquaculture factory. This project aims to investigate structural, coloured textural, and hyperspectral analysis approaches to achieve automated lobster molt-cycle staging and classification to the level required for commercial production. High labour cost, water contamination, and disease transmission are major barriers in Australian bay lobster aquaculture inhibiting its large scale production. Automation of the production process and reducing ....Developing key vision technology for automation of aquaculture factory. This project aims to investigate structural, coloured textural, and hyperspectral analysis approaches to achieve automated lobster molt-cycle staging and classification to the level required for commercial production. High labour cost, water contamination, and disease transmission are major barriers in Australian bay lobster aquaculture inhibiting its large scale production. Automation of the production process and reducing the human contact with animals are of high priority in the development of this Australian-led emerging industry. The project aims to develop technology to bring this world- first aquaculture factory to large scale production, and create new export opportunities for lobsters and production systems.Read moreRead less