Hospital Admission, Cerebral Palsy, Intellectual Disability And Birth Defects In Assisted Conception Infants.
Funder
National Health and Medical Research Council
Funding Amount
$115,110.00
Summary
We have recently completed a study examining the prevalence of birth defects in assisted conception infants born in Western Australia from 1993-1997. Contrary to reassuring claims by other researchers in this area, we found that assisted conception infants have a two-fold increased risk of being diagnosed with a major birth defect by one year of age. We now propose to examine other long-term health outcomes in these children. This study involves record linkage between the WA Reproductive Technol ....We have recently completed a study examining the prevalence of birth defects in assisted conception infants born in Western Australia from 1993-1997. Contrary to reassuring claims by other researchers in this area, we found that assisted conception infants have a two-fold increased risk of being diagnosed with a major birth defect by one year of age. We now propose to examine other long-term health outcomes in these children. This study involves record linkage between the WA Reproductive Technology Register and four other population-based databases. The prevalence of cerebral palsy, intellectual disability, hospital admission and birth defects in assisted conception children born in WA between 1993 and 2001 will be compared to that seen in all other Western Australian children born over the same time period. The collection of information on risks associated with assisted conception treatment is vital to allow adequate counselling of couples considering fertility treatment. Cerebral palsy, intellectual disability, birth defects and hospital admission are all serious adverse health outcomes and, despite the introduction of IVF to most Western countries twenty years ago, there are limited data in the literature concerning the occurrence of these conditions in assisted conception infants. Quantifying the contribution of assisted conception treatment to neonatal, infant and childhood morbidity and mortality is also important for the planning of health service provision. Although assisted conception births represent only a small proportion of total births in Australia, these infants may require a disproportionate level of health care services, such as neonatal intensive care treatment due to complications associated with preterm or multiple birth. The wide application of assisted conception treatment in Australia and the increased number of pregnancies achieved by these means reinforce the urgent need for valid data on the health of children born after these procedures.Read moreRead less
Population-based Data Linkage To Investigate The Health And Development Of Children Born After IVF
Funder
National Health and Medical Research Council
Funding Amount
$321,972.00
Summary
In Australia 1 in 25 births are conceived from IVF treatment and this is increasing. My research program will use a comprehensive set of linked population data to address key questions in the IVF field following major changes to IVF practice in the last decade. This research (examining fetal growth, birth defects, intellectual disability and school achievement) has the potential to influence clinical practice and will greatly improve the information available for pre-treatment counselling.
Recent Changes In IVF Clinical Practice: Data Linkage To Investigate Their Impact On Fetal Growth And Birth Defects.
Funder
National Health and Medical Research Council
Funding Amount
$219,076.00
Summary
In Australia 1 in 25 births are conceived from IVF treatment and this is increasing with the continuing trend towards later childbearing. This study will use linked population data to assess fetal growth and birth defects in IVF-conceived children following major changes to IVF practice in the last decade. There are limited data internationally on health outcomes following the use of more recent IVF techniques and insufficient data to allow for adequate pre-treatment counselling.
Optimal Robust Fitting under the Framework of LP-Type Problems. The project aims to develop algorithms to support the development of robust and accurate computer vision systems. Real-world visual data (images, videos) is inherently noisy and outlier prone. To build computer vision systems that work reliably in the real world, it is necessary to ensure that the underlying algorithms are robust and efficient. The project aims to devise novel algorithms that can compute the best possible result giv ....Optimal Robust Fitting under the Framework of LP-Type Problems. The project aims to develop algorithms to support the development of robust and accurate computer vision systems. Real-world visual data (images, videos) is inherently noisy and outlier prone. To build computer vision systems that work reliably in the real world, it is necessary to ensure that the underlying algorithms are robust and efficient. The project aims to devise novel algorithms that can compute the best possible result given the input data in a short amount of time. The expected outcomes would support the construction of reliable and accurate computer vision-based systems, such as large-scale 3-D reconstruction from photo collections, self-driving cars and domestic robots.Read moreRead less
Active multispectral computer vision for defence and security. This project will develop new techniques to extract intelligent information from multispectral images in the visible and near infra-red spectrum. It will enable computers to automatically recognise objects, faces and human actions with unprecedented accuracy.
Person identification from multiple non-invasive iris and face biometrics in video. This project will undertake research to develop a prototype system for personal identification that can be used by law enforcement and security agencies to enrol people at points of entry at public places. The system will non-invasively acquire face and iris biometrics and match them against a database of known persons. The proposed system can be used in sensitive buildings for access control, eliminating the nee ....Person identification from multiple non-invasive iris and face biometrics in video. This project will undertake research to develop a prototype system for personal identification that can be used by law enforcement and security agencies to enrol people at points of entry at public places. The system will non-invasively acquire face and iris biometrics and match them against a database of known persons. The proposed system can be used in sensitive buildings for access control, eliminating the need to carry access cards or remember passwords. This research contributes to the national research priority of Safeguarding Australia. We will develop new techniques in computer vision and train new researchers in this area.Read moreRead less
Ontology Based Multisite Distributed Software Development. Increasingly clients in cities are developing software overseas or in regional centres. The participating companies have found existing centralized software engineering techniques inadequate for multisite development. This project produces new principles and techniques for multisite distributed software development. Thus it proposes a new methodology, a new project management approach, a new workflow tracking technique and a new concept ....Ontology Based Multisite Distributed Software Development. Increasingly clients in cities are developing software overseas or in regional centres. The participating companies have found existing centralized software engineering techniques inadequate for multisite development. This project produces new principles and techniques for multisite distributed software development. Thus it proposes a new methodology, a new project management approach, a new workflow tracking technique and a new concept of software object/component that allows differentiated access. A platform is also developed for use in field studies for validation and benchmarking. The results will help Australia become a provider of software services for international clients and permit devolution to regional centres.Read moreRead less
Development of a three dimensional audio-visual next generation speech recognition system. To overcome the disadvantages of current Audio-Visual Speech Recognition Systems, we propose a set of robust algorithms in three dimensional computer vision and speech processing. The proposed system will have far-reaching implications in various areas, for example, human-machine interaction for speech recognition in automated dialog systems and voice-to-text conversions.
Integration of Spatiotemporal Video Data for Realtime Smart Proactive Surveillance. This project will have a great impact on the national security by helping the law enforcement agencies to stop crime before it happens. It will automatically detect and tag criminal activities in surveillance videos. It will detect, authenticate, track and profile individuals in sensitive installations. At airports, it will match faces to electronic images embedded in passports. The system will use existing surve ....Integration of Spatiotemporal Video Data for Realtime Smart Proactive Surveillance. This project will have a great impact on the national security by helping the law enforcement agencies to stop crime before it happens. It will automatically detect and tag criminal activities in surveillance videos. It will detect, authenticate, track and profile individuals in sensitive installations. At airports, it will match faces to electronic images embedded in passports. The system will use existing surveillance infrastructures for locating lost people and will also ensure privacy protection of public. On the commercial side, this project can recognize old customers for better and customized services. It can count the number of people present in each floor of a building for rescue operations and for designing future buildings.Read moreRead less
Automated Determination of the Pose of a Human from Visual Information - Markerless 3D Pose Recovery of Humans from Videos. The development of 3D human pose recovery has been sought by computer vision researchers for many years. Our results will, firstly, have benefit for Australia's standing in the international computer vision community. Over time, the research outcomes will be developed into a software product for rehabilitation analysis by recognizing discrepancies between the walking pat ....Automated Determination of the Pose of a Human from Visual Information - Markerless 3D Pose Recovery of Humans from Videos. The development of 3D human pose recovery has been sought by computer vision researchers for many years. Our results will, firstly, have benefit for Australia's standing in the international computer vision community. Over time, the research outcomes will be developed into a software product for rehabilitation analysis by recognizing discrepancies between the walking patterns of healthy individuals and those with abnormalities as a result of accidents or diseases. The Australian economy will benefit by the reduction in the lifetime cost of injuries. This software will also provide benefits to the movie animation, computer games industry, and the training of athletes.Read moreRead less