Inhibition Of IFN-?/? By Human Metapneumovirus And The Induction Of Inflammation
Funder
National Health and Medical Research Council
Funding Amount
$605,251.00
Summary
The newly isolated human metapneumovirus (hMPV) causes significant respiratory illness in infants, young children and the elderly. The virus can persist long-term and may predispose individuals to chronic lung disease. This proposal aims to determine the mechanisms by which hMPV infection causes respiratory disease, with a view to improving treatments and preventing disease.
Mechanism/s Of Disease Caused By Respiratory Viral Infections
Funder
National Health and Medical Research Council
Funding Amount
$479,517.00
Summary
A newly discovered respiratory virus, human metapneumovirus (HMPV), causes clinical disease that is very similar to human respiratory syncytial virus (RSV) and co-circulates with RSV. Human RSV is a major cause of morbidity and life-threatening respiratory tract disease in infants and young children worldwide, and is recognised as an important respiratory pathogen in elderly adults and immune compromised patients. The recent isolation of HMPV from children hospitalised with respiratory tract ill ....A newly discovered respiratory virus, human metapneumovirus (HMPV), causes clinical disease that is very similar to human respiratory syncytial virus (RSV) and co-circulates with RSV. Human RSV is a major cause of morbidity and life-threatening respiratory tract disease in infants and young children worldwide, and is recognised as an important respiratory pathogen in elderly adults and immune compromised patients. The recent isolation of HMPV from children hospitalised with respiratory tract illness similar to RSV, but with an unknown etiology, suggests that HMPV may mediate similar clinical pathology. Nothing is currently known about the immune response to HMPV, or the association of these responses with lung disease. The objectives of this proposal are to elucidate the mechanisms of immunity and disease pathogenesis associated with human metapneumovirus (HMPV) and to investigate the use of a novel vaccine to protect against HMPV infection. Once this data is obtained, the study will provide the foundation for further research in the development of vaccines or therapeutic protocols to treat HMPV. It will also provide valuable information for understanding the disease in humans. Also,it is likely that HMPV, like hRSV, may prove to be an agent associated with long-term decreased pulmonary function and airflow limitation perhaps developing to asthma.Read moreRead less
RNAi Therapeutic Intervention Of Human Viral Respiratory Disease
Funder
National Health and Medical Research Council
Funding Amount
$584,117.00
Summary
Human metapneumovirus (HMPV), causes clinical disease that is very similar to human respiratory syncytial virus (RSV) and co-circulates with RSV. HMPV is emerging as a major cause of morbidity and life-threatening respiratory tract disease in infants, young children and the elderly worldwide. No treatment is currently available. The objectives of this proposal are to develop novel antiviral drugs that silence the expression of viral genes and to examine protection against the disease.
Asymptotic Geometric Analysis and Learning Theory. Learning Theory is used in various real-world applications in diverse research areas, ranging from Biology (e.g. DNA sequencing) to Information Sciences. Therefore, having a deep understanding of fundamental questions in Learning Theory, and in particular, pin-pointing the parameters that make a learning problem hard would have a significant practical impact. This projects aims to achieve this goal, and in addition, we expect it would have a hig ....Asymptotic Geometric Analysis and Learning Theory. Learning Theory is used in various real-world applications in diverse research areas, ranging from Biology (e.g. DNA sequencing) to Information Sciences. Therefore, having a deep understanding of fundamental questions in Learning Theory, and in particular, pin-pointing the parameters that make a learning problem hard would have a significant practical impact. This projects aims to achieve this goal, and in addition, we expect it would have a high theoretical value, as the questions we shall address are of independent interest to pure mathematicians.Read moreRead less
Mechanisms Of Induction And Progression Of Childhood Asthma: Investigations In A Mouse Model
Funder
National Health and Medical Research Council
Funding Amount
$517,586.00
Summary
This project investigates how certain respiratory viral infections in very young children might predispose to developing asthma, and how inflammation in the airways in asthma might then worsen. The experimental work, which will use unique mouse models developed in the laboratories of the chief investigators, will focus on changes in genes that control the pattern of immune response to allergens and that regulate the progression of inflammation.
Asymptotic Geometric Analysis and Learning Theory. Learning Theory is used in various real-world applications in diverse research areas, ranging from Biology (e.g. DNA sequencing) to Information Sciences. Therefore, having a deep understanding of fundamental questions in Learning Theory, and in particular, pin-pointing the parameters that make a learning problem hard would have a significant practical impact. This projects aims to achieve this goal, and in addition, we expect it would have a hig ....Asymptotic Geometric Analysis and Learning Theory. Learning Theory is used in various real-world applications in diverse research areas, ranging from Biology (e.g. DNA sequencing) to Information Sciences. Therefore, having a deep understanding of fundamental questions in Learning Theory, and in particular, pin-pointing the parameters that make a learning problem hard would have a significant practical impact. This projects aims to achieve this goal, and in addition, we expect it would have a high theoretical value, as the questions we shall address are of independent interest to pure mathematicians.
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Cohort discovery and activity mining for policy impact prediction. Cohort discovery and activity mining for policy impact prediction. This project aims to develop an intelligent systematic framework to predict policy impacts on Australian patients, by discovering inherent patient cohorts and assessing the impact of the policies on these cohorts. The proposed methods lay the theoretical foundations for building intelligent automated tools for policy assessment. Expected outcomes are data-driven p ....Cohort discovery and activity mining for policy impact prediction. Cohort discovery and activity mining for policy impact prediction. This project aims to develop an intelligent systematic framework to predict policy impacts on Australian patients, by discovering inherent patient cohorts and assessing the impact of the policies on these cohorts. The proposed methods lay the theoretical foundations for building intelligent automated tools for policy assessment. Expected outcomes are data-driven patient group discovery, which could more precisely identify the patient cohorts most likely to benefit from a specific policy; and a model to predict the efficacy of policy options, which could increase the sustainability of the national health system by enabling smarter, more efficient policy decision-making.Read moreRead less
Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an ....Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an open-source tool that can capture precision correlations between deep code features and diverse vulnerabilities to pinpoint emerging vulnerabilities without the need for bug specifications. Significant benefits include greatly improved quality, reliability and security for modern software systems.Read moreRead less
Privacy-preserving cloud data mining-as-a-service. This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research ....Privacy-preserving cloud data mining-as-a-service. This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research will include new data privacy models, new privacy-preserving data mining algorithms, and a prototype of cloud data mining software. These will help businesses cut costs for data mining and privacy protection, and provide significant benefits toward helping Australia achieve its national cyber security strategy and potentially provide economic impact from commercialisation of new software technology for the industry partner.Read moreRead less