Near Unsupervised Learning for Early Discovery of Novel Patterns: Methods, Scalability and Label Dependability. This project aims to predict the unknown class labels using the existing small number of class labels. The outcomes of the project have direct relevance to the economy, environment, energy and health sectors due to the abundance of data coming out of these areas. For example, if an oncogene, a gene that can cause cancer when mutated can be found using data with only few labels and a la ....Near Unsupervised Learning for Early Discovery of Novel Patterns: Methods, Scalability and Label Dependability. This project aims to predict the unknown class labels using the existing small number of class labels. The outcomes of the project have direct relevance to the economy, environment, energy and health sectors due to the abundance of data coming out of these areas. For example, if an oncogene, a gene that can cause cancer when mutated can be found using data with only few labels and a large amount of unlabelled data, the costs and time needed for lab experimentation can be greatly reduced enabling pharmaceutical companies to develop corresponding medicines quicker. It will not only save more lives but also generates millions of dollars of income.Read moreRead less
Intelligent Image Processing Techniques for Novel Biomarker Discovery. This project will make an impact on Australia's international research profile by seeking a solution to a worldwide challenging problem in biomarker discovery for the detection of diseases at an early stage which requires the incorporation of the skills and knowledge from biology, medicine, engineering, computer science, and information technology. The successful outcomes of this research will make an impact on Australia's e ....Intelligent Image Processing Techniques for Novel Biomarker Discovery. This project will make an impact on Australia's international research profile by seeking a solution to a worldwide challenging problem in biomarker discovery for the detection of diseases at an early stage which requires the incorporation of the skills and knowledge from biology, medicine, engineering, computer science, and information technology. The successful outcomes of this research will make an impact on Australia's engagement in using advanced image analysis and intelligent methods for the emerging research and development of targeted drug discovery. Read moreRead less
Evolutionary algorithms for problems in functional genomics data analysis. Skin cancer has a high incidence in the Australian population. Schizophrenia is a psychiatric disorder that affects a significant proportion of the population worldwide. Both illnesses have genetic roots and can be triggered by environmental factors. We will uncover genetic relationship to disease and their responses to environmental conditions using computational methods and mathematical algorithms that can aid in the de ....Evolutionary algorithms for problems in functional genomics data analysis. Skin cancer has a high incidence in the Australian population. Schizophrenia is a psychiatric disorder that affects a significant proportion of the population worldwide. Both illnesses have genetic roots and can be triggered by environmental factors. We will uncover genetic relationship to disease and their responses to environmental conditions using computational methods and mathematical algorithms that can aid in the determination of function, especially in disease states. Understanding the complex genetic interactions that trigger these illnesses would give great benefits in preventive health care, skin cancer and schizophrenia genetic basis, and may lay the ground for building new methods for "personalized medicine".
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An Automated Bioimaging System for High-Content Cell-Cycle Screening. 1) Providing a better understanding of the biological complexities
that will advance knowledge in life science research and facilitate the development of new anti-cancer drugs.
2) Supporting Australian academic institutions in a challenging field of innovative research through international, interdisciplinary collaborations, and publications in journals of high quality scientific research.
3) Providing research training ....An Automated Bioimaging System for High-Content Cell-Cycle Screening. 1) Providing a better understanding of the biological complexities
that will advance knowledge in life science research and facilitate the development of new anti-cancer drugs.
2) Supporting Australian academic institutions in a challenging field of innovative research through international, interdisciplinary collaborations, and publications in journals of high quality scientific research.
3) Providing research training in a research venture that requires expertise and collaboration in the disciplines of biology, engineering, computer science, and mathematics.
4) Bringing economic and social benefits for Australia by enhancing important industries and existing technologies in medicine, and biotechnology.
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On-line and Incremental EM-based Neural Networks: Application to Hospital Utlilization and Gene Expression Data. Artificial neural networks have been widely applied as universal classifiers in many fields, such as biomedicine. However, misunderstanding of fundamental statistical principles, which can cause misleading findings, has been frequently observed in the literature. This project aims to integrate statistical methodologies in neural networks to provide a unified approach to improve its ....On-line and Incremental EM-based Neural Networks: Application to Hospital Utlilization and Gene Expression Data. Artificial neural networks have been widely applied as universal classifiers in many fields, such as biomedicine. However, misunderstanding of fundamental statistical principles, which can cause misleading findings, has been frequently observed in the literature. This project aims to integrate statistical methodologies in neural networks to provide a unified approach to improve its applicability and efficiency in implementation. The system developed from this proposed cross-disciplinary research will be applied to hospital utilization data (hospital morbidity database, Western Australia) and gene expression data (DNA microarrays databases, Harvard University). This collaborative research will advance the international standard of Australian research communities.
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Application of novel exact combinatorial optimisation techniques and metaheuristic methods for problems in cancer research. Novel biotechnologies are offering an unprecedented opportunity to understand the genetic basis of cancer development and progression. However, they present us with a challenge; new computational methods and improved mathematical models and algorithms need to be introduced to complement these technologies in the determination of the function of our individual genetic makeup ....Application of novel exact combinatorial optimisation techniques and metaheuristic methods for problems in cancer research. Novel biotechnologies are offering an unprecedented opportunity to understand the genetic basis of cancer development and progression. However, they present us with a challenge; new computational methods and improved mathematical models and algorithms need to be introduced to complement these technologies in the determination of the function of our individual genetic makeup, especially in connection with disease states. The project will deal with research questions and datasets related to some of the highest incidence cancers in Australia. This project will contribute towards the development of new powerful algorithms for pattern recognition for future "personalized" molecular diagnostics methods.Read moreRead less
Elucidation of the hierarchy of stem, progenitor and mature cells in the mouse mammary gland. Breast cancer is the most common cause of cancer-related death in women in Australia. Although the treatments have improved over the last 30 years, many women still die from the disease. It is therefore important to identify new targets for breast cancer treatment. There is growing interest in the concept that a cancer-initiating cell may arise from a stem cell or progenitor cell in the mammary gland. O ....Elucidation of the hierarchy of stem, progenitor and mature cells in the mouse mammary gland. Breast cancer is the most common cause of cancer-related death in women in Australia. Although the treatments have improved over the last 30 years, many women still die from the disease. It is therefore important to identify new targets for breast cancer treatment. There is growing interest in the concept that a cancer-initiating cell may arise from a stem cell or progenitor cell in the mammary gland. Our goal is to identify those cells and to determine which genes are involved in transforming a normal cell to a cancerous cell.Read moreRead less
Discovering mechanisms of primary embryonic tissue migration through live cell imaging and novel genetic approaches. The studies proposed here will provide concepts and knowledge about the molecular basis of cell migration that will impact on diverse aspects of human health, such as the causes and nature of tumour metastasis and our understanding of the developmental basis of birth defects. In addition, understanding cell migration mechanisms will allow us to better predict or control the behav ....Discovering mechanisms of primary embryonic tissue migration through live cell imaging and novel genetic approaches. The studies proposed here will provide concepts and knowledge about the molecular basis of cell migration that will impact on diverse aspects of human health, such as the causes and nature of tumour metastasis and our understanding of the developmental basis of birth defects. In addition, understanding cell migration mechanisms will allow us to better predict or control the behaviour of therapeutic stem cells introduced into the body.Read moreRead less
How does Fat cadherin control organ size in Drosophila, and cancer in humans? The primary function of Fat cadherin is to dictate the appropriate size of organs in developing animals. Deficiency in the fat gene results in vastly overgrown organs and can lead to the formation of cancer in humans. Our study will provide important insights into how the size of organs are controlled during development. Our research findings will have important implications for several aspects of human health and biol ....How does Fat cadherin control organ size in Drosophila, and cancer in humans? The primary function of Fat cadherin is to dictate the appropriate size of organs in developing animals. Deficiency in the fat gene results in vastly overgrown organs and can lead to the formation of cancer in humans. Our study will provide important insights into how the size of organs are controlled during development. Our research findings will have important implications for several aspects of human health and biology, and will increase our understanding of diseases that arise due to aberrant tissue growth, such as cancer. Our research findings will thus be of substantial national benefit, given that cancer is now the biggest cause of death in Australia, and that more than 88,000 Australians are diagnosed with cancer each year. Read moreRead less
Smart Information Use for PET-CT Quantitative Molecular Imaging. This project aims to use advanced computing algorithms to tackle
challenging problems associated with a new medical technology called
PET-CT which combines two imaging modalities in one device. While this technology is very new and has great potential in cancer and brain disorders, it also poses major challenges for information processing and transmission. We will address these challenges by developing advanced algorithms that op ....Smart Information Use for PET-CT Quantitative Molecular Imaging. This project aims to use advanced computing algorithms to tackle
challenging problems associated with a new medical technology called
PET-CT which combines two imaging modalities in one device. While this technology is very new and has great potential in cancer and brain disorders, it also poses major challenges for information processing and transmission. We will address these challenges by developing advanced algorithms that optimally extract information from PET and CT using mathematical models that correct for the various sources of inaccuracy. Our research will put Australian biomedical researchers and healthcare professionals at the forefront of advanced medical imaging technology.Read moreRead less