A New Direction For TB Control In Highly Endemic Countries: A RCT Of Active Case Finding
Funder
National Health and Medical Research Council
Funding Amount
$1,362,910.00
Summary
Tuberculosis is the number 1 health problem in Vietnam . Many people with TB do not know they have the disease but are infectious to others. Hence, the disease continues to spread. This project will investigate the role of x-ray screening to detect and treat more people with TB, particularly those who do not have symptoms. This may be an important element of future TB control programs in Vietnam and elsewhere in our region.
A Randomized Clinical Trial Comparing Effectiveness Of 4RIF And 9INH For Treatment Of Latent TB Infection
Funder
National Health and Medical Research Council
Funding Amount
$496,875.00
Summary
Treatment of latent tuberculosis infection (LTBI) is one intervention that is known to prevent the occurrence of active TB. Current treatment is based on a six to nine month course of isoniazid. The treatment has side effects in some people and many people do not complete the treatment. The present study is to test an alternative treatment regimen (4 months of rifampicin) which has fewer side-effects and is more likely to be completed.
Determining The Impact Of Opioid Substitution Therapy Upon Mortality And Recidivism Among Prisoners: A 22-year Data Linkage Study
Funder
National Health and Medical Research Council
Funding Amount
$354,114.00
Summary
This study will quantify the impact of opioid substitution therapy (OST; methadone or buprenorphine) on two important outcomes for opioid dependent prisoners: mortality, particularly in the post-release period; and subsequent criminal activity. The study will have almost 600,000 person-years of follow-up over 22 years, allowing fine grained analyses of disadvantaged subpopulations. The study has clear implications for the health of this population, crime reductions, and cost savings.
Supporting dynamic multidimensional entrepreneurial resilience in Australia. This project aims to model entrepreneurial resilience, its formation and its influence on how creative transformation occurs, and whether ex ante adaptive capacity is in turn enhanced by having mastered crises. The project proposes a theoretical model to holistically measure resilience across the life course. Using longitudinal data for self-employed individuals in Australia the project analyses the impact of crisis and ....Supporting dynamic multidimensional entrepreneurial resilience in Australia. This project aims to model entrepreneurial resilience, its formation and its influence on how creative transformation occurs, and whether ex ante adaptive capacity is in turn enhanced by having mastered crises. The project proposes a theoretical model to holistically measure resilience across the life course. Using longitudinal data for self-employed individuals in Australia the project analyses the impact of crisis and economic policy on entrepreneur’s behaviour and SMEs entry exit decisions. The project informs policy making through employing discrete choice experiments to elicit entrepreneur’s preferences for government policy and support post crisis. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100168
Funder
Australian Research Council
Funding Amount
$413,847.00
Summary
Self-Supervised Sequential Biomedical Image-Omics. This project aims to develop a self-supervised sequential biomedical image-omics model to uncover the underlying biological processes e.g., normal or abnormal. Sequential biomedical images are state-of-the-art imaging modalities which allow to depict changes in progression to the human body. New self-supervised machine learning algorithms are proposed to derive features from heterogenous and unlabelled sequential images. These derived features w ....Self-Supervised Sequential Biomedical Image-Omics. This project aims to develop a self-supervised sequential biomedical image-omics model to uncover the underlying biological processes e.g., normal or abnormal. Sequential biomedical images are state-of-the-art imaging modalities which allow to depict changes in progression to the human body. New self-supervised machine learning algorithms are proposed to derive features from heterogenous and unlabelled sequential images. These derived features will then be used to characterise the morphological and functional changes, which provide opportunities to increase understanding of progression of diseases of individual subject. The outcome from this project will provide new insights into system biology with potential future benefits in healthcare.Read moreRead less
Improving the performance of Australian social insurance schemes. Applying methods from computational social science, this project aims to develop a novel, multi-level modeling framework to assist transport injury, workplace injury and disability insurance schemes consistently achieve and maintain standards of high performance as recognised by international benchmarks. By creating a virtual laboratory for policy-makers and scheme managers, it expects to generate a comprehensive understanding of ....Improving the performance of Australian social insurance schemes. Applying methods from computational social science, this project aims to develop a novel, multi-level modeling framework to assist transport injury, workplace injury and disability insurance schemes consistently achieve and maintain standards of high performance as recognised by international benchmarks. By creating a virtual laboratory for policy-makers and scheme managers, it expects to generate a comprehensive understanding of mechanisms driving insurance scheme performance, enabling comparison of anticipated outcomes in response to legislative changes, policy changes and management decisions. The project aims to help schemes avoid human and financial failure, benefitting people with injuries and disabilities while reducing scheme costs.Read moreRead less
Software Quality Improvement Through Static Analysis and Annotation. Software forms the basis of critical infrastructure that supports industries such as electronic commerce. Flaws in the software can lead to failure of the overall system, or allow the security mechanisms of the software to be by-passed. This project is developing methods to improve the quality of software by finding common flaws that lead to security vulnerabilities or runtime failures. Within Australia, it is estimated that th ....Software Quality Improvement Through Static Analysis and Annotation. Software forms the basis of critical infrastructure that supports industries such as electronic commerce. Flaws in the software can lead to failure of the overall system, or allow the security mechanisms of the software to be by-passed. This project is developing methods to improve the quality of software by finding common flaws that lead to security vulnerabilities or runtime failures. Within Australia, it is estimated that there are approximately 75,000 software developers who make substantial use of C/C++ and who could benefit from the availability of better automatic static analysis tools to improve both the quality of the code they produce and their productivity.Read moreRead less