Development Of A Novel Bioengineered Tissue Construct For Repairing The Eye.
Funder
National Health and Medical Research Council
Funding Amount
$335,817.00
Summary
Corneal diseases are often treated using donor tissue transplants. Nevertheless, donor tissue is unsuitable for treating the peripheral or limbal margin of the cornea. We have therefore developed a way to transplant sheets of limbal tissue (epithelium) grown in the laboratory from a patient's own cells, but this tissue lacks a foundation of connective tissue that we believe is essential for sustained healing. Thus, our aim is to develop a novel limbal transplant which contains both layers.
Strabismus is the pathological misalignment of the eyes associated with loss of binocular vision and is one of the most common human ophthalmological disorders. Patients with comitant strabismus have full eye movements, whereas patients with incomitant strabismus have limited eye movements, which causes the angle of strabismus to vary with gaze direction. This project aims to define genetic contributors to comitant congenital strabismus.
Translating Genetic Determinants Of Glaucoma Into Better Diagnosis And Treatment
Funder
National Health and Medical Research Council
Funding Amount
$9,466,000.00
Summary
Glaucoma is the leading cause of irreversible blindness worldwide. By 2020, it will affect 80 million people, and in Australia over the next decade, the overall cost of glaucoma will reach $4.3 billion per annum. This Program will use genetic advances to personalise treatment. Blindness will be prevented in individuals at highest risk, new ways to treat patients will be developed, and better outcomes for patients will result from less treatment and monitoring of low risk cases.
Most eye diseases have a genetic contribution, whether rare disorders affecting children such as retinoblastoma or congenital cataracts through to common disorders of older people such as myopia, age-related macular degeneration or glaucoma. We will continue our successful research to find genes that cause these diseases and use this to improve patient care and prevent blindness. We will work out how families can use this genetic information to participate in trials to develop new treatments.
Young Adult Myopia: Genetic And Environmental Associations
Funder
National Health and Medical Research Council
Funding Amount
$809,271.00
Summary
Myopia affects 80% of school leavers in the cities of East Asia, 45% of Asian Australian school leavers and is probably on the rise in European Australian adolescents. Increased levels of education and lack of time outdoors are known to increase the risk of myopia. We will examine 2,000 young adults to find the genes that interact with these risk factors. In addition to confirming when these risk factors are most important, identifying molecular pathways opens the avenue of new treatments.
QUA:Queensland digital Ultra-Atlas. This project aims to design and develop a digital ultra-atlas of Queensland which integrates the capabilities of GIS(geographical information system) with interactive 4D graphical modelling,knowledge extraction and context-based query and retrieval. This ultra-atlas would allow users to discover knowledge on natural resources,cultural characteristics and historical changes,as well as simulating different effects by providing advanced search capabilities and en ....QUA:Queensland digital Ultra-Atlas. This project aims to design and develop a digital ultra-atlas of Queensland which integrates the capabilities of GIS(geographical information system) with interactive 4D graphical modelling,knowledge extraction and context-based query and retrieval. This ultra-atlas would allow users to discover knowledge on natural resources,cultural characteristics and historical changes,as well as simulating different effects by providing advanced search capabilities and engaging display of spatial and thematically-linked data. Such an ultra-atlas would have enormous impact on facilitating strategic planning and performance in many applications(e.g fire control,environment and urban planning).Read moreRead less
Searching for Maximal Satisfaction. A wide range of practical problems such as scheduling, timetabling, planning and economic forecasting are not only computationally intractable in general, but often involve conflicting constraints that make them unsolvable. These problems can be represented as MaxSAT, the optimisation version of the satisfiability problem (SAT). This project aims to develop novel and efficient algorithms to address the problem of maximal satisfaction. It is proposed that these ....Searching for Maximal Satisfaction. A wide range of practical problems such as scheduling, timetabling, planning and economic forecasting are not only computationally intractable in general, but often involve conflicting constraints that make them unsolvable. These problems can be represented as MaxSAT, the optimisation version of the satisfiability problem (SAT). This project aims to develop novel and efficient algorithms to address the problem of maximal satisfaction. It is proposed that these algorithms will be implemented within prototype MaxSAT solver systems, which will be experimentally evaluated on large-sized real world optimisation problems of high economic and societal significance. These solvers are expected to also compete in the industrial track of the international SAT solving competitions.Read moreRead less
Privacy Preserving Data Mining as Autonomous Data Analysis Expands into Safeguarding from Threats like Crime and Terrorism. In a world characterized by digitally coded data, Data Mining allows automatic exploration of huge numbers of personal records for target marketing, as well as demographic, medical and criminal research. Investigations into terrorist attacks use this technology, but a balance with privacy protection is necessary. Even if names and unique identifiers are removed, computer me ....Privacy Preserving Data Mining as Autonomous Data Analysis Expands into Safeguarding from Threats like Crime and Terrorism. In a world characterized by digitally coded data, Data Mining allows automatic exploration of huge numbers of personal records for target marketing, as well as demographic, medical and criminal research. Investigations into terrorist attacks use this technology, but a balance with privacy protection is necessary. Even if names and unique identifiers are removed, computer methods can be used to infer confidential information about individuals. This project develops new techniques to ensure privacy and alleviate public concerns such as secondary use of personal data. We shall develop new methods for replacing original data with data that exhibits approximately the same patterns, but conceals sensitive data.Read moreRead less
Automatic Ontology Learning and Data Reasoning in Web Mining. This research has an impact on both research and practical applications. In research, it provides opportunities for research students to carry out research using both data mining and data reasoning to solving Web based application problems. In practical, it can help IT industry to design the new generation of Web mining systems in order to provide invaluable service to users. This research also develops new techniques for data automa ....Automatic Ontology Learning and Data Reasoning in Web Mining. This research has an impact on both research and practical applications. In research, it provides opportunities for research students to carry out research using both data mining and data reasoning to solving Web based application problems. In practical, it can help IT industry to design the new generation of Web mining systems in order to provide invaluable service to users. This research also develops new techniques for data automatic processing within areas of smart information use in Australia. In particular it further develops data mining techniques by introducing data reasoning models for using discovered knowledge. It must be useful to improve the efficiency of the existing data mining systems. Read moreRead less