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.
3D Diffusion Models for Generating and Understanding 3D Scenes. Diffusion models, such as DALL-E2 and Imagen, have achieved remarkable success in generating photorealistic images and hold promise to solve long-standing computer vision problems. However, 3D scene generation remains unexplored. This research project aims to bridge the gap by developing 3D diffusion models capable of generating complete 3D scenes. This will advance our theoretical understanding of diffusion in complex 3D environmen ....3D Diffusion Models for Generating and Understanding 3D Scenes. Diffusion models, such as DALL-E2 and Imagen, have achieved remarkable success in generating photorealistic images and hold promise to solve long-standing computer vision problems. However, 3D scene generation remains unexplored. This research project aims to bridge the gap by developing 3D diffusion models capable of generating complete 3D scenes. This will advance our theoretical understanding of diffusion in complex 3D environments and open up new possibilities for applications in fields such as virtual reality, architecture, and city planning. The proposed 3D diffusion models will also enhance the accuracy of computer vision tasks related to 3D scene understanding, such as object detection, tracking, and semantic segmentation.Read moreRead less
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
Developing A Smart Farming Oriented Secure Data Infrastructure. Smart farming is the future of agriculture. However, recently the Federal Bureau of Investigation has issued a
warning that the lack of data privacy and cyber security mechanisms in the field runs a high risk of disaster. This
project aims to establish an innovative secure data infrastructure for smart farming including secure and automated smart farming supply-chain management. The deliverables of this project will include the cutt ....Developing A Smart Farming Oriented Secure Data Infrastructure. Smart farming is the future of agriculture. However, recently the Federal Bureau of Investigation has issued a
warning that the lack of data privacy and cyber security mechanisms in the field runs a high risk of disaster. This
project aims to establish an innovative secure data infrastructure for smart farming including secure and automated smart farming supply-chain management. The deliverables of this project will include the cutting-edge Blockchain based secure IoT data management and privacy-preserving smart contracts for smart farming supply-chain management. This data infrastructure will be the first of its kind which will lay a solid foundation for smart farming technology.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.