UNDERSTANDING THE BENEFITS AND LIMITATIONS OF METAPHASE II SPINDLE TRANSFER
Funder
National Health and Medical Research Council
Funding Amount
$1,629,373.00
Summary
Mitochondrial DNA (mtDNA) diseases are transmitted from a mother's eggs to her children. However, the levels of affected mtDNA differ amongst her eggs. Consequently, a carrier would not know if the newborn child were to suffer from these diseases. Mitochondrial Donation offers couples the potential to have an unaffected child. We will undertake the most comprehensive study of mitochondrial donation using one of its associated approaches to determine if it produces healthy embryos and offspring.
Improving Oocyte Mitochondrial DNA Copy Number To Enhance Female Reproductive Capacity.
Funder
National Health and Medical Research Council
Funding Amount
$670,867.00
Summary
Eggs with too few copies of mitochondrial DNA either fail to fertilise or arrest during early development. By supplementing eggs with mitochondrial DNA, we have been able to enhance embryo quality and gene expression profiles. By breeding the offspring derived from eggs given mitochondrial supplementation, we will determine if they and their progeny meet normal developmental milestones, regulate the transmission of mitochondrial DNA appropriately, and are healthy and fertile.
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.
Improving Care Of The Dying With Chronic Heart Failure
Funder
National Health and Medical Research Council
Funding Amount
$130,000.00
Summary
Chronic heart failure is increasing in prevalence and is primarily a condition of ageing. Although chronic heart failure has worse outcomes than many cancers, patients are often denied the benefits of palliative care with its emphasis on symptom management, spirituality, emotional health and focus on family issues. This project seeks to assess the state of knowledge in Australia related to palliative care in chronic heart failure. Guidelines and care maps appropriate to Australian conditions wil ....Chronic heart failure is increasing in prevalence and is primarily a condition of ageing. Although chronic heart failure has worse outcomes than many cancers, patients are often denied the benefits of palliative care with its emphasis on symptom management, spirituality, emotional health and focus on family issues. This project seeks to assess the state of knowledge in Australia related to palliative care in chronic heart failure. Guidelines and care maps appropriate to Australian conditions will be developed and their usefulness assessed in improving care of patients and their families.Read moreRead less
Innovation In The Synthesis And Translation Of Research Evidence To Inform The Prevention, Management And Treatment Of Chronic Disease In Indigenous Populations
Funder
National Health and Medical Research Council
Funding Amount
$2,642,121.00
Summary
Chronic disease remains the principal cause of health inequality for Indigenous Australians. Primary care is critical to mounting a health system response. The Aboriginal community controlled sector is at the coal face of chronic disease management, yet requires the synthesis, utilisation, development, evaluation and translation of evidence to practice. CREATE was established for this purpose
Statistical Methods of Model Fitting and Segmentation in Computer Vision. Electronic sensors such as cameras and lasers can provide a rich source of information about the position, shape, and motion of objects around us. However, to extract this information in a reliable, automatic, and accurate way requires a sophisticated statistical theory of the process. Example applications include: video surveillance (better automatic detection of moving people and vehicles and of characterising what those ....Statistical Methods of Model Fitting and Segmentation in Computer Vision. Electronic sensors such as cameras and lasers can provide a rich source of information about the position, shape, and motion of objects around us. However, to extract this information in a reliable, automatic, and accurate way requires a sophisticated statistical theory of the process. Example applications include: video surveillance (better automatic detection of moving people and vehicles and of characterising what those people and vehicles are doing), industrial prototyping and inspection (measuring the size and shape of objects), urban planning (laser scanning streetscapes to create computer models of cities), entertainment industry (movie special effects and games), etc. Read moreRead less
Learning to see in 3D. The project aims to endow machine vision with an ability we, as humans, use almost constantly: to judge 3D properties from a 2D image. This extremely useful ability will be applied to digital images to obtain 3D measurements and aid in automating tasks such as mining, surveying, medical diagnosis, and visual effects in movies.
Recognising and reconstructing objects in real time from a moving camera. This project will use a moving camera to estimate the three-dimensional shape and identity of objects and surfaces it can see. This ability, which we humans use all the time, has wide application in automation including driver assistance, exploring hazardous environments, robotics, remote collaboration, and the creation of three-dimensional models for entertainment.
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
Australian Laureate Fellowships - Grant ID: FL130100102
Funder
Australian Research Council
Funding Amount
$3,179,946.00
Summary
Lifelong computer vision systems. This project will create a computer vision system that can produce a detailed environmental map in real time, turning standard video cameras into sensors that 'understand' a scene with basic semantic tools. This high-level sensing will unlock a wide range of applications for autonomous systems.