Structural And Functional Studies On The Interaction Between Alpha2-Antiplasmin And Plasmin
Funder
National Health and Medical Research Council
Funding Amount
$280,400.00
Summary
Fibrinolysis is the process by which the body dissolves clots. In this proposal we aim to investigate how the fibrinolysis inhibitor alpha2-antiplasmin interacts with the clot dissolving protease enzyme plasmin. These data will be useful for developing new approaches to accelerate plasmin-mediated clot breakdown.
Reduction Of Chronic Post-surgical Pain With Ketamine - ROCKet Study
Funder
National Health and Medical Research Council
Funding Amount
$4,823,395.00
Summary
Chronic post-surgical pain (CPSP) is a common complication of major surgery, and a significant burden on quality of life and ongoing health costs. Ketamine is a drug used by anaesthetists to treat severe acute surgical pain. Various small studies suggest that it may be unique in its ability to reduce the risk of CPSP. We propose a large trial of ketamine during & after anaesthesia for major surgery to test this. Demonstration of effectiveness would promote widespread change in clinical practice.
Discovery And Development Of Better Pain Treatments
Funder
National Health and Medical Research Council
Funding Amount
$9,613,850.00
Summary
Many forms of pain remain poorly treated, leading to significant quality of life and economic losses. This Program grant will discover and characterise new peptides from cone snails and spiders that modulate specific channels in nerves that are critical to the transmission of pain signals to the brain. Using advanced chemical and structural approaches, promising leads will be optimised for potency and stability and evaluated in disease and pathway-specific models of pain to establish their clini ....Many forms of pain remain poorly treated, leading to significant quality of life and economic losses. This Program grant will discover and characterise new peptides from cone snails and spiders that modulate specific channels in nerves that are critical to the transmission of pain signals to the brain. Using advanced chemical and structural approaches, promising leads will be optimised for potency and stability and evaluated in disease and pathway-specific models of pain to establish their clinical potential.Read moreRead less
Molecular Targets Of Amino Acid/neurotransmitter Conjugates Of Fatty Acids
Funder
National Health and Medical Research Council
Funding Amount
$846,390.00
Summary
This project investigates endogenous chemicals that affect cells important for detecting and responding to pain. We aim to discover how these compounds affect proteins important for nerve cell function, particularly proteins that have a prominent role in detecting and transmitting painful events. The compounds we examine are not themselves likely to be drugs, but future therapies may involve manipulating the levels of these chemicals in the body, or using drugs that mimic the activity of these c ....This project investigates endogenous chemicals that affect cells important for detecting and responding to pain. We aim to discover how these compounds affect proteins important for nerve cell function, particularly proteins that have a prominent role in detecting and transmitting painful events. The compounds we examine are not themselves likely to be drugs, but future therapies may involve manipulating the levels of these chemicals in the body, or using drugs that mimic the activity of these compounds.Read moreRead less
Spinal Cord Injury Pain: Understanding Mechanisms To Develop Treatments
Funder
National Health and Medical Research Council
Funding Amount
$597,675.00
Summary
Spinal cord injury has devastating effects on health and quality of life. Many of the major consequences of injury, such as chronic pain and loss of voluntary voiding, are "invisible" – i.e., they are not as visible as limitations of mobility. Our study aims to define the neurobiological changes that cause development of persistent pain after spinal cord injury and use pharmacological tools to attenuate the development of pain.
Accelerated Finite-time Learning and Control in Cyber-Physical Systems. Efficient learning and control in cyber-physical systems such as smart grids and robotic systems are very important for achieving economic and social benefits. This project aims to establish a breakthrough accelerated finite-time dynamics theory and technology to assist in delivering efficient learning and control. Expected outcomes include new distributed accelerated finite-time dynamics based learning and control algorithm ....Accelerated Finite-time Learning and Control in Cyber-Physical Systems. Efficient learning and control in cyber-physical systems such as smart grids and robotic systems are very important for achieving economic and social benefits. This project aims to establish a breakthrough accelerated finite-time dynamics theory and technology to assist in delivering efficient learning and control. Expected outcomes include new distributed accelerated finite-time dynamics based learning and control algorithms and tools for optimal operations in cyber-physical systems. This should provide significant benefits including a practical technology for industry applications in smart grids and robotic systems, and training of the next generation engineers in this technology for Australia.Read moreRead less
Exploiting Geometries of Learning for Fast, Adaptive and Robust AI. This project aims to uniquely exploit geometric manifolds in deep learning to advance the frontier of Artificial Intelligence (AI) research and applications in cybersecurity and general cognitive tasks. It expects to develop new theories, algorithms, tools, and technologies for machine learning systems that are fast, adaptive, lifelong and robust, even with limited supervision. Expected outcomes will enhance Australia's capabili ....Exploiting Geometries of Learning for Fast, Adaptive and Robust AI. This project aims to uniquely exploit geometric manifolds in deep learning to advance the frontier of Artificial Intelligence (AI) research and applications in cybersecurity and general cognitive tasks. It expects to develop new theories, algorithms, tools, and technologies for machine learning systems that are fast, adaptive, lifelong and robust, even with limited supervision. Expected outcomes will enhance Australia's capability and competitiveness in AI, and deliver robust and trustworthy learning technology. The project should provide significant benefits not only in advancing scientific and translational knowledge but also in accelerating AI innovations, safeguarding cyberspace, and reducing the burden on defence expenses in Australia.Read moreRead less
Use Of Analgesics To Reduce Agitation And Agression In Older Persons With Dementia
Funder
National Health and Medical Research Council
Funding Amount
$552,556.00
Summary
Understanding the causes of Behavioural and Psychological Symptoms of Dementia (BPSD) provides a potentially remedial target for interventions. The current study will undertake the first ever trial of analgesics to reduce the frequency of agitation/aggression and other BPSD. By completion we will have new insights into the relationship between pain and various sub-types of BPSD and robust evidence on the best class of analgesics to treat BPSD
Using cognitive models to understand memorability of real world images. This proposal aims to understand and make predictions about which real world images -- specifically living things, objects, and human faces -- that people will remember remember via an integration of cognitive models of memory and machine learning techniques. Computer vision models and similarity scaling techniques will be used to produce psychological representations of the images. These representations will then be integra ....Using cognitive models to understand memorability of real world images. This proposal aims to understand and make predictions about which real world images -- specifically living things, objects, and human faces -- that people will remember remember via an integration of cognitive models of memory and machine learning techniques. Computer vision models and similarity scaling techniques will be used to produce psychological representations of the images. These representations will then be integrated with cognitive models of memory, which predict that images are more likely to be recognized if they are similar to each of the representations in memory. Large scale memory and similarity rating datasets will be used to develop and test the model.Read moreRead less
Neurobiological mechanisms of the interaction between pain and sleep. The project aims to reveal the brain mechanisms behind the interaction between such fundamental biological phenomena as sleep and pain. This highly interdisciplinary project expects to deliver significant insights into how poor sleep changes the brain to increase pain sensitivity in healthy adults, by combining novel lab-based mechanistic sleep and pain manipulations and naturalistic longitudinal observation. The rich multimod ....Neurobiological mechanisms of the interaction between pain and sleep. The project aims to reveal the brain mechanisms behind the interaction between such fundamental biological phenomena as sleep and pain. This highly interdisciplinary project expects to deliver significant insights into how poor sleep changes the brain to increase pain sensitivity in healthy adults, by combining novel lab-based mechanistic sleep and pain manipulations and naturalistic longitudinal observation. The rich multimodal dataset generated by the project will be made publicly available to enhance research transparency and international collaboration. This should provide significant benefits, ultimately opening up ways to improve quality of life and wellbeing of the Australian population.
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