Health And Fertility Of Young Men Conceived Using Intra-cytoplasmic Sperm Injection
Funder
National Health and Medical Research Council
Funding Amount
$362,570.00
Summary
The injection of a single sperm into the egg (ICSI) has been the main IVF treatment for men with poor sperm quality since 1993 but is now often used for other types of infertility. Concern has been raised about the health of the children. We will approach >800 parents and their adult sons conceived using ICSI and will assess his general health and development, and fertility. This work will improve patient counselling and practice guidelines, and direct research into the safety of ICSI.
Clinical Review Of A Cohort Aged 22-33 Years Conceived Using Assisted Reproductive Technologies
Funder
National Health and Medical Research Council
Funding Amount
$946,454.00
Summary
In a recent study, using telephone-interviews, we compared the health and wellbeing of 547 singleton young adults born following assisted reproductive technologies (ART), with 549 matched controls. Reviewing their health when they are 22-33 years is possible because of their ongoing interest. We have a protocol in place to measure their cardiac and respiratory function and other aspects of growth and development. Our findings will fill a major knowledge gap about the longer term safety of ART.
Ocular Motility In Autism And Asperger S Disorder: Dissociation Of Motor Deficits.
Funder
National Health and Medical Research Council
Funding Amount
$131,235.00
Summary
We will use ocular motor technology to investigate motor dysfunction in autism and Asperger's disorder, to advance our understanding of the neurobiological bases of these disorders. This will help clarify whether neural networks are differentially disrupted in these disorders, as our previous clinical research suggests. This dissociation and the subsequent development of an ocular motor clincal screen may improve diagnosis, and potentially treatment, of these devastating conditions.
Preparing Australia For Genomic Medicine: A Proposal By The Australian Genomics Health Alliance
Funder
National Health and Medical Research Council
Funding Amount
$25,000,000.00
Summary
The sequencing of the human genome brings the possibility of more accurate identification of the underlying basis of many diseases. This technology has moved so rapidly, however, that clinical access has been limited. In this application, a national alliance of clinicians, researchers, health economists and policymakers will evaluate the case for clinical genomics across inherited disease and cancer, determine how best to deliver this to the patient and train a capable workforce.
Validation Of A Multiplexed Blood Based Screening Assay For The Diagnosis Of Colorectal Cancer
Funder
National Health and Medical Research Council
Funding Amount
$556,712.00
Summary
Colorectal cancer (CRC) is the second most common cancer in Australia with poor patient outcome due to late detection of the disease. We have developed a simple blood based test that can diagnose individuals with CRC at an early stage when the chance of cure is greater than 80%.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0347131
Funder
Australian Research Council
Funding Amount
$115,490.00
Summary
Intelligent Computer System to Access Information Directly from the Brain Using High Resolution Electroencephalography and Repetitive Transcranial Magnetic Stimulation. The ambitious aim of this project is to create a novel intelligent computer system which accesss information from the brain. To do this we use repetitive Transcranial Magnetic Stimulation and high resolution Electroencephalography.
MemberGuard: Protecting Machine Learning Privacy from Membership Inference. Machine Learning has become a core part of many real-world applications. However, machine learning models are vulnerable to membership inference attacks. In these attacks, an adversary can infer if a given data record has been part of the model's training data. In this project, the team aims to develop new techniques that can be used to counter these attacks, such as 1) new analytical models for membership leakage, 2) ne ....MemberGuard: Protecting Machine Learning Privacy from Membership Inference. Machine Learning has become a core part of many real-world applications. However, machine learning models are vulnerable to membership inference attacks. In these attacks, an adversary can infer if a given data record has been part of the model's training data. In this project, the team aims to develop new techniques that can be used to counter these attacks, such as 1) new analytical models for membership leakage, 2) new methods for susceptibility diagnosis, 3) new defences that leverage privacy and utility. Data-oriented services are estimated to be valuable assets in the future. These techniques can help Australia gain cutting edge advantage in machine learning security and privacy and protect its intellectual property on these services.Read moreRead less
Micro Virtual Machines: Abstraction, contained. This project will address a systemic source of inefficiency in widely used software which leads to many programs running as much as ten times slower and using considerably more energy than necessary, shortening battery life on mobile phones and increasing costs for large server farms. This inefficiency is endemic because it is due to the underlying languages rather than the particular software. This project will address this problem by developing a ....Micro Virtual Machines: Abstraction, contained. This project will address a systemic source of inefficiency in widely used software which leads to many programs running as much as ten times slower and using considerably more energy than necessary, shortening battery life on mobile phones and increasing costs for large server farms. This inefficiency is endemic because it is due to the underlying languages rather than the particular software. This project will address this problem by developing a high efficiency substrate, called a micro virtual machine, on which languages may be built.Read moreRead less
Visual Analytics for Next Generation Sequencing. Next-generation sequencing technologies have brought a revolution in biology and healthcare, while taxing the ability of scientists and clinicians to identify and process relevant data, to make sense of it all and communicate it to others in a concise and meaningful way. This project aims to tackle this problem through fundamentally new approaches to data selection and visualisation at very large scale, actively encoding for insight into underlyin ....Visual Analytics for Next Generation Sequencing. Next-generation sequencing technologies have brought a revolution in biology and healthcare, while taxing the ability of scientists and clinicians to identify and process relevant data, to make sense of it all and communicate it to others in a concise and meaningful way. This project aims to tackle this problem through fundamentally new approaches to data selection and visualisation at very large scale, actively encoding for insight into underlying biological and biomedical processes, bringing sustainable discovery of new relationships and variations within the data. The project aims to support new approaches to medical diagnosis and treatment, and offer crucial lessons to address the broader challenge of understanding large, complex data sets.Read moreRead less
Next Generation Grid Enabled Cluster Computers: Performance Optimisation for e-Science. In partnership with a local computer company this project will develop cost effective cluster computing solutions assembled from off-the-shelf parts for $50,000-$200,000. This price range is currently relatively poorly serviced by the multinational computer vendors, who tend to focus on the high density compute systems necessary for very large cluster systems. As a consequence the development of high performa ....Next Generation Grid Enabled Cluster Computers: Performance Optimisation for e-Science. In partnership with a local computer company this project will develop cost effective cluster computing solutions assembled from off-the-shelf parts for $50,000-$200,000. This price range is currently relatively poorly serviced by the multinational computer vendors, who tend to focus on the high density compute systems necessary for very large cluster systems. As a consequence the development of high performance computing in Australia has been somewhat stifled compared to the US or UK, where there exist small niche companies servicing this market sector. This project aims to change this, developing affordable high performance cluster computing systems for the Australian market place and beyond.Read moreRead less