A Media Formulation To Improve Implantation Rates And Pregnancy Outcome Following ART
Funder
National Health and Medical Research Council
Funding Amount
$304,380.00
Summary
Since women are delaying childbearing, ART is increasingly required. 2-3% of births in Australia follow ART. Only 15-40% of embryo transfers in assisted reproduction (ART) result in ongoing pregnancies. The poor success rate is due to the fact that the embryo culture media bear no resemblance to the maternal environment in which they grow normally. The new culture media to be validated in this proposal includes factors that are critical for embryo implantation and will improve ART success.
Media Formulations To Enhance Embryo Formation In Assisted Reproduction
Funder
National Health and Medical Research Council
Funding Amount
$660,133.00
Summary
The increasing age of parenthood has led to an explosion in the demand for assisted reproductive technologies such as in vitro fertilisation (IVF). This procedure has a poor success rate and is limited by the ability of fertilised eggs to mature into early embryos in the lab prior to being transferred into women. We will develop new compounds that improve embryo growth in the clinic, which will improve IVF success rates.
Nicotinamide Adenine Dinucleotide (NAD+)-raising Agents For Improving Oocyte Quality
Funder
National Health and Medical Research Council
Funding Amount
$445,827.00
Summary
Many women cannot have children because of suboptimal egg quality, often due to aging. Currently, the only option is to use better quality eggs donated from another woman. This project will use pharmacological agents to promote recently discovered pathways in eggs central to determining quality. Importantly, we will investigate a simple and practical approach that can be used in clinics for augmenting these pathways to improve oocyte quality for the first time.
EGF Peptide Signalling Improves Oocyte Maturation And Quality
Funder
National Health and Medical Research Council
Funding Amount
$586,891.00
Summary
Infertility is common and although IVF is widely accepted, the procedure is expensive and is associated with health risks. Using laboratory animals, we have developed significant new insights into mechanisms regulating egg quality. These insights have allowed us to develop a new approach to infertility treatment - crucially, one that eliminates the need for ovarian hormone therapy used in IVF. This project will investigate the basic mechanisms underlying our new approach to enable safe clinical ....Infertility is common and although IVF is widely accepted, the procedure is expensive and is associated with health risks. Using laboratory animals, we have developed significant new insights into mechanisms regulating egg quality. These insights have allowed us to develop a new approach to infertility treatment - crucially, one that eliminates the need for ovarian hormone therapy used in IVF. This project will investigate the basic mechanisms underlying our new approach to enable safe clinical implementation.Read moreRead less
Infertility is common and although IVF is widely accepted, the procedure is expensive and is associated with health risks. Using laboratory animals, we have made significant advances towards developing new technologies that can mature eggs and produce embryos in vitro, but without women receiving hormone injections. This project will seek means to combine the benefits of two of our existing technologies into one integrated system, to provide hormone-free infertility treatment.
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.
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
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
Combining Time Bands and Teleo-Reactive Programs for Advanced Dependable Real-Time Systems. Society is becoming increasingly reliant on sophisticated real-time computer systems in applications ranging from car stability control to critical infrastructure, such as railway signalling systems. Further, there is a demand for ever greater automation and sophistication in the software controlling these systems. The research challenge in this project is to provide robust implementations of these system ....Combining Time Bands and Teleo-Reactive Programs for Advanced Dependable Real-Time Systems. Society is becoming increasingly reliant on sophisticated real-time computer systems in applications ranging from car stability control to critical infrastructure, such as railway signalling systems. Further, there is a demand for ever greater automation and sophistication in the software controlling these systems. The research challenge in this project is to provide robust implementations of these systems in a way that allows one assess their dependability.
Australia industry is actively working in these areas through companies like Ansaldo Australia, in automated railway systems, and Boeing Australia, in the defence sector.Read moreRead less