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
GABA(B) Receptor Modulation Of Gastrointestinal Function In Health And Disease By Alpha-Conotoxins
Funder
National Health and Medical Research Council
Funding Amount
$689,050.00
Summary
Chronic visceral pain is a common and debilitating condition arising from numerous diseases that affect our internal organs. There is a desperate need for more information about the mechanisms responsible for signalling chronic visceral pain to provide therapies and potentially find a cure for it. Our research focuses on ?-conotoxins (small peptides from marine cone snail venom) as novel potential therapeutic agents for the treatment of chronic visceral pain.
Detection and Quantification of General Fetal Movements from Accelerometer Measurements using Nonstationary Signal Processing Techniques. There are approximately 1,750 fetal deaths per year in Australian with about one-third occurring late in gestation and without an apparent cause. The development of an automated system capable of long-term monitoring of fetal health will result in accurate diagnoses and prediction of future outcome. This will, in turn, allow early intervention by the clinicia ....Detection and Quantification of General Fetal Movements from Accelerometer Measurements using Nonstationary Signal Processing Techniques. There are approximately 1,750 fetal deaths per year in Australian with about one-third occurring late in gestation and without an apparent cause. The development of an automated system capable of long-term monitoring of fetal health will result in accurate diagnoses and prediction of future outcome. This will, in turn, allow early intervention by the clinician to reduce fetal deaths and enhance the chances of good outcomes with resultant savings in social and financial costs to the community. The development of such equipment would spawn future research into intervention treatments and contribute to Australia's position as a world leader in computerised health monitoring systems.Read moreRead less
ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing. Sensor networks, a collection of diverse sensors interconnected via an ad-hoc communication network, are identified as one of the key technologies that over the next two decades will change the way we live. This research network brings together an interdisciplinary team of outstanding Australian researchers representing all the key disciplines required to successfully deploy sensor networks and links this te ....ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing. Sensor networks, a collection of diverse sensors interconnected via an ad-hoc communication network, are identified as one of the key technologies that over the next two decades will change the way we live. This research network brings together an interdisciplinary team of outstanding Australian researchers representing all the key disciplines required to successfully deploy sensor networks and links this team with the foremost international authorities and leading industry players in the area of sensor networks. This research network will guide collaborative research that will ensure Australia to play a world leading role in sensor network development and implementation.
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Searching for near-exact protein models. This project aims to develop novel and efficient heuristic-based algorithms leading to near accurate protein tertiary structure models. Knowledge about protein structures is fundamental to our understanding of living systems. The progress on experimental determination of these structures has been extremely limited and remains an open challenge in molecular biology. Computational prediction of protein structures from sequences is emerging as a promising ap ....Searching for near-exact protein models. This project aims to develop novel and efficient heuristic-based algorithms leading to near accurate protein tertiary structure models. Knowledge about protein structures is fundamental to our understanding of living systems. The progress on experimental determination of these structures has been extremely limited and remains an open challenge in molecular biology. Computational prediction of protein structures from sequences is emerging as a promising approach, but its accuracy is far from satisfactory. The software systems developed in this project will be used in structural identification of target proteins in drug design. This will make drug design process more efficient, saving time and cost, potentially saving lives.Read moreRead less
Low-cost Sensing Methods and Hybrid Learning Models. This project aims to revolutionise the theory and practice of sensing and monitoring by developing novel Artificial Intelligence and Internet of Things technologies. This project expects to generate new knowledge in the area of Artificial Intelligence of Things by combining sensing, machine learning, and big data analytics. Expected outcomes of this project include novel low-cost sensing methods and new hybrid machine learning models for predi ....Low-cost Sensing Methods and Hybrid Learning Models. This project aims to revolutionise the theory and practice of sensing and monitoring by developing novel Artificial Intelligence and Internet of Things technologies. This project expects to generate new knowledge in the area of Artificial Intelligence of Things by combining sensing, machine learning, and big data analytics. Expected outcomes of this project include novel low-cost sensing methods and new hybrid machine learning models for predictive sensory data analytics. This should provide significant benefits, such as substantially reduced operating and service costs and improved accuracy for real-time monitoring in the fields where cheap-to-implement and easy-to-service monitoring systems over large geographical areas are imperative.Read moreRead less
Interaction Mining for Cyberbullying Detection on Social Networks. This project plans to build an interactive mining system to detect cyberbullying on social networks that have a large number of participants and a variety of inputs, including conversation texts, time-variant changes and user profiles. The project is designed to change the existing cyberbullying prevention services from reactive keyword filtering to proactive social interaction pattern mining. The intended outcome will enable the ....Interaction Mining for Cyberbullying Detection on Social Networks. This project plans to build an interactive mining system to detect cyberbullying on social networks that have a large number of participants and a variety of inputs, including conversation texts, time-variant changes and user profiles. The project is designed to change the existing cyberbullying prevention services from reactive keyword filtering to proactive social interaction pattern mining. The intended outcome will enable the early detection and warning of cyberbullying and approach open a new way to discover interaction patterns with a large number of participants over evolving and complex social networks.Read moreRead less
Nanostructured solid acid catalysts for sustainable chemical manufacturing. This project aims to develop next-generation solid acid catalysts for energy- and atom-efficient transformations of waste biomass and carbon dioxide to sustainable chemicals and fuels. Catalysis is a transformative technology, key to both life and lifestyle, contributing to 90% of chemical manufacturing processes and >20% of all industrial products, and will be a key enabler for the emerging Australian bioeconomy. The ex ....Nanostructured solid acid catalysts for sustainable chemical manufacturing. This project aims to develop next-generation solid acid catalysts for energy- and atom-efficient transformations of waste biomass and carbon dioxide to sustainable chemicals and fuels. Catalysis is a transformative technology, key to both life and lifestyle, contributing to 90% of chemical manufacturing processes and >20% of all industrial products, and will be a key enabler for the emerging Australian bioeconomy. The expected development of new high performance catalysts for the production of renewable transportation fuels and sustainable chemical feedstocks will underpin commercially viable low carbon technologies using waste resources, and should provide significant benefits to Australian science, industry, and the environment.
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Industrial Transformation Research Hubs - Grant ID: IH130200031
Funder
Australian Research Council
Funding Amount
$3,273,780.00
Summary
ARC Research Hub for Advanced Technologies for Australian Iron Ore. ARC Research Hub for Advanced Technologies for Australian Iron Ore. This Research Hub aims to bring together three world-class groups covering fine particle beneficiation, raw materials handling, and iron ore characterisation to address the complex issues that arise from the different ore types that have emerged in recent years. This Research Hub will focus on the development and adoption of advanced beneficiation and handling t ....ARC Research Hub for Advanced Technologies for Australian Iron Ore. ARC Research Hub for Advanced Technologies for Australian Iron Ore. This Research Hub aims to bring together three world-class groups covering fine particle beneficiation, raw materials handling, and iron ore characterisation to address the complex issues that arise from the different ore types that have emerged in recent years. This Research Hub will focus on the development and adoption of advanced beneficiation and handling technologies into iron ore mining operations, and new knowledge for informing producers and end-users, while providing the training for a new generation of research leaders.Read moreRead less