Microvascular And Macrovascular Disease In Snoring And Obstructive Sleep Apnoea: A Mechanism For Increased Stroke Risk.
Funder
National Health and Medical Research Council
Funding Amount
$679,744.00
Summary
This project will address the important question of the vascular risk of stroke associated with snoring and obstructive sleep apnoea, by using retinal photography of the eye to directly visualise the vascular changes in the cerebral circulation. Retinal photography may provide a useful clinical tool to help reduce the risk of stroke in patients with snoring and sleep apnoea.
STudy Of Risk Assessment To Reduce Complications In Patients Following Noncardiac SurgerY (STRATIFY)
Funder
National Health and Medical Research Council
Funding Amount
$436,000.00
Summary
Cardiac problems account for many complications in patients undergoing major non-cardiac surgery, and even apparently minor cardiac damage is a marker of high risk for subsequent adverse events. Unfortunately, while money and effort is expended on identifying patients at risk, the appropriate response to this risk is quite unclear. The performance of bypass surgery or balloon angioplasty in order to treat the underlying coronary disease of at-risk patients is used in other situations, and reduce ....Cardiac problems account for many complications in patients undergoing major non-cardiac surgery, and even apparently minor cardiac damage is a marker of high risk for subsequent adverse events. Unfortunately, while money and effort is expended on identifying patients at risk, the appropriate response to this risk is quite unclear. The performance of bypass surgery or balloon angioplasty in order to treat the underlying coronary disease of at-risk patients is used in other situations, and reduces longterm risk. However, in many patients undergoing major noncardiac surgery, this approach may be inappropriately aggressive, as these patients are often elderly, have other diseases that make heart operations more difficult and risky than usual, and in any case may have a reduced life expectancy from the disease necessitating the operation. As the most critical issue is to ensure that patients undergo their surgery uneventfully, an alternative is the use of intensive medical therapy to protect the heart. This multicentre study, based at Brisbane hospitals that perform large numbers of major operations, will follow up patients for complications, and outcome (including quality of life) will be assessed six months after the operation. We will address two important questions about the efficacy and cost of risk reduction strategies. First, in patients at higher levels of risk and with a positive stress test, could a combination of medical therapy designed to protect the heart be as effective as current approaches, which include the performance of bypass surgery or coronary balloon angioplasty? Second, in patients identified as being at some risk - but low risk - are drugs sufficiently effective to avoid the need for further testing to quantify risk? As the population continues to age, the numbers of at risk patients undergoing major surgery will increase, and answers to these questions will provide important information to guide their management.Read moreRead less
A-Prof Wheatley is a respiratory and sleep disorders physician investigating the pathogenesis, health consequences and management of sleep breathing disorders, including sleep apnoea and snoring.
Optimizing steel industry supply chains through constraint and market-oriented programming. Supply chain optimization is a difficult problem, but of considerable significance to business enterprises. Constraint programming technology is a promising approach to solving such problems, but is inadequate in the context of dynamic supply chains. Market-oriented programming solves resource allocation problems by setting up artificial computational economies of trading software agents and holds promise ....Optimizing steel industry supply chains through constraint and market-oriented programming. Supply chain optimization is a difficult problem, but of considerable significance to business enterprises. Constraint programming technology is a promising approach to solving such problems, but is inadequate in the context of dynamic supply chains. Market-oriented programming solves resource allocation problems by setting up artificial computational economies of trading software agents and holds promise both as an optimization tool and as a tool that supports explicit market negotiation. This project seeks to address several open questions relating to the integrated deployment of these two classes of techniques, in the context of building a practical supply chain optimization system for BHP Steel.Read moreRead less
Managing quality of experience delivery in new generation telecommunications networks with e-negotiation. New generation telecommunications networks are required to support increasingly demanding services, including interactive multimedia and conferencing. The success of these networks will rely on the users' perception of their quality of experience. The management of these networks will rely on the ability of informed decision making that competes effectively for limited resources in such a ....Managing quality of experience delivery in new generation telecommunications networks with e-negotiation. New generation telecommunications networks are required to support increasingly demanding services, including interactive multimedia and conferencing. The success of these networks will rely on the users' perception of their quality of experience. The management of these networks will rely on the ability of informed decision making that competes effectively for limited resources in such a highly dynamic environment. This project will design information distribution strategies and smart decision making agents that negotiate a user's quality of experience using market mechanisms. Designs from this project will be trialled and validated in the partner's commercial networks.Read moreRead less
Smart communications network management: Delivering bundled interdependent services across internetworked heterogeneous domains. Sophisticated communications network management (data, voice, video) is crucial to the global economy. The field is worth several billion dollars per annum. This project will generate expertise that addresses and solves an important problem in communications management, will enable Australia to use communications networks more effectively, and will advance communicatio ....Smart communications network management: Delivering bundled interdependent services across internetworked heterogeneous domains. Sophisticated communications network management (data, voice, video) is crucial to the global economy. The field is worth several billion dollars per annum. This project will generate expertise that addresses and solves an important problem in communications management, will enable Australia to use communications networks more effectively, and will advance communications technology. Read moreRead less
Integrated constraint-based planning and scheduling. Constraint programming is a relatively new technology based on artificial intellgence techniques that is becoming a popular tool for developing industrial optimisation solutions. While constraint programming has been used extensively for solving industrial scheduling problems, very little has been done in developing constraint-based integrated producting planning and scheduling systems. The size and complexity of typical production planning a ....Integrated constraint-based planning and scheduling. Constraint programming is a relatively new technology based on artificial intellgence techniques that is becoming a popular tool for developing industrial optimisation solutions. While constraint programming has been used extensively for solving industrial scheduling problems, very little has been done in developing constraint-based integrated producting planning and scheduling systems. The size and complexity of typical production planning and scheduling problems requires the innovative use of the latest developments in constraint programming technology, together with a variety of other artificial intelligence techniques. This project seeks to develop and implement a new conceptual framework for integrated constraint-based planning and scheduling, using BHP Steel as a test - bed.Read moreRead less
Visual methods for advanced automation of underwater manipulation. This project will increase the autonomy of underwater robotic systems engaged in intervention and inspection tasks. Such activities are essential for the operation of subsea robotic systems used in offshore industries, scientific exploration and defence. Our approach will improve perception and situational awareness through the principled fusion of multiple navigation and camera sensors. We will use this improved scene understand ....Visual methods for advanced automation of underwater manipulation. This project will increase the autonomy of underwater robotic systems engaged in intervention and inspection tasks. Such activities are essential for the operation of subsea robotic systems used in offshore industries, scientific exploration and defence. Our approach will improve perception and situational awareness through the principled fusion of multiple navigation and camera sensors. We will use this improved scene understanding to effectively plan the motion of vehicles and manipulators through larger and more complex workspaces, enabling semi-supervised and autonomous task execution. Our project will demonstrate these capabilities in real-world deployments relevant to industry and marine science.Read moreRead less
Learning Medical Image Knowledge. We aim to develop Machine Learning and Knowledge Acquisition techniques for automated recognition of features in medical images, and to provide decision support for diagnosis from medical images. The project is innovative in its use of layered learning, where the computer first learns to recognise low-level image features that are then used to learn more complex features. The project is also innovative in combining a variety of automatic learning methods, includ ....Learning Medical Image Knowledge. We aim to develop Machine Learning and Knowledge Acquisition techniques for automated recognition of features in medical images, and to provide decision support for diagnosis from medical images. The project is innovative in its use of layered learning, where the computer first learns to recognise low-level image features that are then used to learn more complex features. The project is also innovative in combining a variety of automatic learning methods, including relational learning, with human-assisted knowledge acquisition methods. The expected outcomes will be new techniques for image understanding, particularly for our test domain, namely, High Resolution Computed Tomography scans of the lung.Read moreRead less
The Impact Of CPAP Treatment On Carotid Artery Atherosclerosis In Heavy Snoring And Mild Sleep Disordered Breathing
Funder
National Health and Medical Research Council
Funding Amount
$697,512.00
Summary
Mild sleep disordered breathing, including habitual snoring, is a very common problem in the adult population, with a prevalence of between 20-40%. Increasingly it is now recognised that habitual snoring may be an independent risk factor for the development of stroke. In this proposal we will explore the hypothesis that treatment for snoring will slow or stop the development of carotid artery atherosclerosis.