Radiotherapy Treatment For Prostate Cancer - A Change In Practice Based On Direct Evidence For Targeting And Toxicity Effects Using Real Outcomes Data
Funder
National Health and Medical Research Council
Funding Amount
$555,129.00
Summary
Radiotherapy for prostate cancer treatment will be more effective when we have better knowledge of what patient anatomy needs to be targeted, and what needs to be avoided. This project will combine data collected during a large Australasian prostate cancer radiotherapy trial, ‘RADAR’, with data collected using new patient imaging methods to determine how patient anatomy impacts on the effectiveness of their treatment and the side-effects they experience.
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
New methods to improve regional isotope therapy of liver tumours in cancer patients. The most common cause of death in cancer patients is secondary tumours in vital organs. Successful treatment of liver tumours with regional isotope therapy now offers improved survival rates. This project will research novel radiolabelled nanoparticles and advanced computer imaging algorithms to improve regional isotope therapy of liver tumours. It will provide better methods of objective assessment and manageme ....New methods to improve regional isotope therapy of liver tumours in cancer patients. The most common cause of death in cancer patients is secondary tumours in vital organs. Successful treatment of liver tumours with regional isotope therapy now offers improved survival rates. This project will research novel radiolabelled nanoparticles and advanced computer imaging algorithms to improve regional isotope therapy of liver tumours. It will provide better methods of objective assessment and management that can reduce risk and improve patient survival.Read moreRead less
Unifying Foundations for Intelligent Agents. This project aims to drive forward the development of rigorous foundations for intelligent agents. The agent framework, the expected utility principle, sequential decision theory, and the information-theoretic foundations of inductive reasoning and machine learning have already brought significant order into the previously heterogeneous scattered field of artificial intelligence. This project aims to investigate an information-theoretic approach towar ....Unifying Foundations for Intelligent Agents. This project aims to drive forward the development of rigorous foundations for intelligent agents. The agent framework, the expected utility principle, sequential decision theory, and the information-theoretic foundations of inductive reasoning and machine learning have already brought significant order into the previously heterogeneous scattered field of artificial intelligence. This project aims to investigate an information-theoretic approach towards a unifying foundation for intelligent agents, which has recently spawned impressive applications. The theory is expected to provide a gold standard and valuable guidance for researchers working on smart software.Read moreRead less
Feature reinforcement learning. Agent applications include speech recognition systems, vision systems, search engines, auto-pilots, spam filters, and robots. The research outputs from this project will enable agents to adapt to their environment and automatically, during deployment, acquire much of the knowledge that is currently required to be built in by agent designers.
On-line planning for constrained autonomous agents in an uncertain world. This project aims to develop admissible heuristics for constrained stochastic planning problems and integrate them into state-of-the-art on-line algorithms. Artificial Intelligence (AI) systems, such as self-driving cars or energy management systems, make intelligent decisions to act near-optimally in uncertain environments, leading to savings, for example in energy use. But we also want assurances that AI systems will obe ....On-line planning for constrained autonomous agents in an uncertain world. This project aims to develop admissible heuristics for constrained stochastic planning problems and integrate them into state-of-the-art on-line algorithms. Artificial Intelligence (AI) systems, such as self-driving cars or energy management systems, make intelligent decisions to act near-optimally in uncertain environments, leading to savings, for example in energy use. But we also want assurances that AI systems will obey safety constraints. Solving constrained stochastic planning problems is key to building AI that is both robust and safe. This project will explore ways to account for uncertainty and constraints in heuristic estimation.Read moreRead less
Lifelong robotic navigation using visual perception. Service robots are becoming a major part of our working and personal environments, in much the same way as personal computers already have. This project will develop new methods of practical and useful robot navigation that will enable Australia's industries and services to remain internationally competitive.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE240100068
Funder
Australian Research Council
Funding Amount
$931,950.00
Summary
Australian Advanced Metabolic Signal Discovery, and Imaging Platform. This proposal aims to establish an Australian Advanced Metabolic Signal Discovery and Imaging platform. The platform consists of an ultra-high resolution gas chromatography mass spectrometer and an imaging mass spectrometry upgrade for a second existing high resolution mass spectrometer. The facility will break barriers currently limiting discovery and localisation of metabolic changes during plant and animal development under ....Australian Advanced Metabolic Signal Discovery, and Imaging Platform. This proposal aims to establish an Australian Advanced Metabolic Signal Discovery and Imaging platform. The platform consists of an ultra-high resolution gas chromatography mass spectrometer and an imaging mass spectrometry upgrade for a second existing high resolution mass spectrometer. The facility will break barriers currently limiting discovery and localisation of metabolic changes during plant and animal development under environmental stress; integral chemical signals exchanged in host-microbe interactions; and volatile signatures linked to ecosystem health and developmental anomalies in animals. Results will inform innovative strategies to enhance biological adaptation, climate resilience and plant, animal, and ecosystem health.Read moreRead less
Decision making for lifetime affordable and tenable city housing. This project will study home buying decisions and outcomes and use this to provide new insights into housing affordability and liveability. The project will develop an innovative software tool for Australia's home buyers to explore affordability and liveability during home buying, and agent-based modelling of scenarios for urban development futures.
Navigating brains: the neurobiology of spatial cognition. Navigation is one of the most crucial and most challenging problems animals face. Behavioural analyses have shown that animals make use of a number of different mechanisms to navigate, but very little is known of how different forms of spatial information are processed and integrated by the brain. The project aims to tackle this by placing tethered ants in a virtual-reality simulation of their real environment allowing precise control of ....Navigating brains: the neurobiology of spatial cognition. Navigation is one of the most crucial and most challenging problems animals face. Behavioural analyses have shown that animals make use of a number of different mechanisms to navigate, but very little is known of how different forms of spatial information are processed and integrated by the brain. The project aims to tackle this by placing tethered ants in a virtual-reality simulation of their real environment allowing precise control of visual navigational cues, as well as the opportunity to study the brains of the tethered ants as they solve the real-world challenge of finding home. This may reveal how simple brains efficiently solve navigational tasks, which may inform both cognitive biology and bio-inspired computation.Read moreRead less