ARC Research Network in Enterprise Information Infrastructure. EII targets consolidated research towards the comprehensive development & establishment of advanced information infrastructures. Its prime purpose is to provide a forum for intellectual exchange by diverse yet complementary research groups, to address the fundamental research problems faced by scientific & business communities when dealing with deployment of information technology to globally distributed, and data intensive environme ....ARC Research Network in Enterprise Information Infrastructure. EII targets consolidated research towards the comprehensive development & establishment of advanced information infrastructures. Its prime purpose is to provide a forum for intellectual exchange by diverse yet complementary research groups, to address the fundamental research problems faced by scientific & business communities when dealing with deployment of information technology to globally distributed, and data intensive environments. EII will address 3 tightly coupled research themes: Ability to interoperate across existing heterogenous platforms & applications; Efficient processing of very large data sets; Technology adoption & impact. Generic results will be applicable to e-science and large business information systems installations.Read moreRead less
Managing knowledge in telehealth projects: creating better solutions and improving patient care. Telehealth is the use of information and communication technologies for the delivery of healthcare and medical education across a distance. This project will propose more effective ways to support telehealth initiatives by managing the knowledge and expertise that is an integral part of such projects, resulting in improved outcomes.
Next generation Customer Relationship Management (CRM) framework through intelligence and relationships from multiple information sources. In the current competitive times, organisations need to improve their service delivery and customer care processes and provide customised service to customers. This project develops a Customer Relationship Management (CRM) framework that can extract intelligence and relationships from multiple data sources to improve customer management and satisfaction in pu ....Next generation Customer Relationship Management (CRM) framework through intelligence and relationships from multiple information sources. In the current competitive times, organisations need to improve their service delivery and customer care processes and provide customised service to customers. This project develops a Customer Relationship Management (CRM) framework that can extract intelligence and relationships from multiple data sources to improve customer management and satisfaction in public and private organisations.Read moreRead less
Developing group-based elicitation methods to improve decision making. This project aims to develop an elicitation methodology enabling multiple members of a team to contribute to the same technical problem - enabling expertise to be accurately combined while avoiding group and individual sources of bias. Good elicitation methods minimise bias in estimates and forecasts - which otherwise erode value and lead to sub-optimal decision making. Existing methods, however, ignore group structures; that ....Developing group-based elicitation methods to improve decision making. This project aims to develop an elicitation methodology enabling multiple members of a team to contribute to the same technical problem - enabling expertise to be accurately combined while avoiding group and individual sources of bias. Good elicitation methods minimise bias in estimates and forecasts - which otherwise erode value and lead to sub-optimal decision making. Existing methods, however, ignore group structures; that is that decisions made by, or on, the advice of teams have different characteristics than individual decisions and often preclude the use of methods designed to limit individuals' biases. By encoding the method into a computerised tool the project will assist public and private sector enterprises to improve group decision making.Read moreRead less
Developing A Smart Farming Oriented Secure Data Infrastructure. Smart farming is the future of agriculture. However, recently the Federal Bureau of Investigation has issued a
warning that the lack of data privacy and cyber security mechanisms in the field runs a high risk of disaster. This
project aims to establish an innovative secure data infrastructure for smart farming including secure and automated smart farming supply-chain management. The deliverables of this project will include the cutt ....Developing A Smart Farming Oriented Secure Data Infrastructure. Smart farming is the future of agriculture. However, recently the Federal Bureau of Investigation has issued a
warning that the lack of data privacy and cyber security mechanisms in the field runs a high risk of disaster. This
project aims to establish an innovative secure data infrastructure for smart farming including secure and automated smart farming supply-chain management. The deliverables of this project will include the cutting-edge Blockchain based secure IoT data management and privacy-preserving smart contracts for smart farming supply-chain management. This data infrastructure will be the first of its kind which will lay a solid foundation for smart farming technology.Read moreRead less
Practice-based Systematized Nomenclature of Medicine (SNOMED) concept learning for drug-disease precaution early detection and refinement. The outcome of the Systematized Nomenclature of Medicine (SNOMED) concept learning system will help mitigate the impact of Adverse Drug Events hence directly contribute to the National Research Priority promoting and maintaining good health. It will tailor SNOMED knowledge to different clinical settings and provide evidence-based preventative health care. Th ....Practice-based Systematized Nomenclature of Medicine (SNOMED) concept learning for drug-disease precaution early detection and refinement. The outcome of the Systematized Nomenclature of Medicine (SNOMED) concept learning system will help mitigate the impact of Adverse Drug Events hence directly contribute to the National Research Priority promoting and maintaining good health. It will tailor SNOMED knowledge to different clinical settings and provide evidence-based preventative health care. The enabling methodology from this project for building computerised cognitive learning systems will be a frontier technology to enhance smart information use in clinical decision support. It will also contribute to the development of knowledge-based systems. A network version of the developed system will assist doctors working in rural and remote areas with their clinical decision making and prescribing practice.Read moreRead less
Automated texture selection and classification methods for detection of osteoarthritis in knee radiographs. In Australia there are 1-2 million OA sufferers, a condition that costs approximately $9 billion annually. This project will address an important problem of early detection and monitoring of OA and this remains in line with the National Research Priority 2. Potential outcomes of the project will result in better diagnosis and treatment of OA, reduced discomfort to the individual and saving ....Automated texture selection and classification methods for detection of osteoarthritis in knee radiographs. In Australia there are 1-2 million OA sufferers, a condition that costs approximately $9 billion annually. This project will address an important problem of early detection and monitoring of OA and this remains in line with the National Research Priority 2. Potential outcomes of the project will result in better diagnosis and treatment of OA, reduced discomfort to the individual and saving to the national economy. This project will improve existing activity and rehabilitation programs such as exercise of lower limbs and it will help in developing diets for healthy people and OA sufferers.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE100100074
Funder
Australian Research Council
Funding Amount
$520,000.00
Summary
Facilities for automated high-throughput slide scanning and stereology. The equipment requested will facilitate the work of the Australian Mouse Brain Mapping Consortium, a consortium of Australian research groups collaborating to provide the only mouse model brain mapping capability in the country. The consortium brings together laboratory, neuroimaging and computational expertise in a comprehensive framework for imaging the mouse brain. This will help researchers to study mouse models of genet ....Facilities for automated high-throughput slide scanning and stereology. The equipment requested will facilitate the work of the Australian Mouse Brain Mapping Consortium, a consortium of Australian research groups collaborating to provide the only mouse model brain mapping capability in the country. The consortium brings together laboratory, neuroimaging and computational expertise in a comprehensive framework for imaging the mouse brain. This will help researchers to study mouse models of genetic and acquired disorders across the life-span. Remote viewing and analysis capabilities will help overcome the 'tyranny of distance', increasing national access to the facility. Repositories of digitised images will increase the availability of valuable research material to other Australian and international researchers.Read moreRead less
Neurological cell replacement therapies: improving outcomes by matching developmental profiles of transplanted cells with the damaged brain area. Stem cell transplantation offers a way to replace nerve cells lost due to acute CNS injury or chronic degenerative conditions such as Parkinson's Disease. However, to date, results have been disappointing because of poor differentiation, survival and integration of stem cells confounded by ethical issues associated with the use of embryos as the source ....Neurological cell replacement therapies: improving outcomes by matching developmental profiles of transplanted cells with the damaged brain area. Stem cell transplantation offers a way to replace nerve cells lost due to acute CNS injury or chronic degenerative conditions such as Parkinson's Disease. However, to date, results have been disappointing because of poor differentiation, survival and integration of stem cells confounded by ethical issues associated with the use of embryos as the source of stem cells. The experiments conducted in this study will provide strategies to improve the efficacy of stem cell transplantation into the damaged CNS as well as developing the use of autologous bone marrow stem cells for repair. Outcomes will be improved transplant methodologies and expertise for the bio-technology industry. Read moreRead less
Characterisation Of Eurl, A Novel Gene Implicated In The Etiology Of Abnormal Brain Development And Intellectual Disability
Funder
National Health and Medical Research Council
Funding Amount
$597,541.00
Summary
Intellectual disability affects around one per cent of Australians, and can arise from genetic abnormalities during fetal life, such as through abnormal regulation of gene expression. We have identified a novel gene, known as eurl, which controls brain assembly as well as the ability of neurons to form functional connections within the brain. We will investigate how this novel gene controls brain development, and characterise eurl as a potential therapeutic target for learning and memory.