A Randomised Controlled Trial Of Interventional Versus Conservative Treatment Of Primary Spontaneous Pneumothorax
Funder
National Health and Medical Research Council
Funding Amount
$412,315.00
Summary
Primary spontaneous pneumothorax (PSP) is a collapsed lung that occurs in otherwise healthy people without underlying lung disease. Current standard treatment is to insert a chest drain into the chest to remove the air around the collapsed lung so that the lung re-inflates rapidly ("interventional treatment"). We will determine whether doing nothing, i.e. letting the lung re-inflate slowly on its own over several weeks ("conservative treatment"), is just as good or even better for patients.
Detecting, Locating and Tracking Human Faces using Skin Colour. With growing concerns for national security and public safety, government agencies in Australia and around the world are taking strong measures to introduce biometric-enhanced official identification documents such as passports, visas, and ID cards. The proposed face detection and tracking system will play a key role in personal identification and human activity monitoring. The developed system will have a huge potential in surveill ....Detecting, Locating and Tracking Human Faces using Skin Colour. With growing concerns for national security and public safety, government agencies in Australia and around the world are taking strong measures to introduce biometric-enhanced official identification documents such as passports, visas, and ID cards. The proposed face detection and tracking system will play a key role in personal identification and human activity monitoring. The developed system will have a huge potential in surveillance, security, law enforcement, and ICT. This project will contribute to building a knowledge economy in Australia and help safeguard and protect Australia from terrorism and crime. Furthermore, its outcomes will enhance the reputation of Australia as a leader in frontier technologies and smart information use.Read moreRead less
Diseases caused by the pneumococcus represent the largest cause of vaccine preventable death in the world today, mainly pneumonia and meningitis. In 2011, 16 developing countries will introduce pneumococcal conjugate vaccines, none in east Asia. Lack of research has been a major barrier to their use in the region. We have established an international centre of excellence in the field and we seek support to extend the capacity of this group and to transfer the technology to Vietnam.
New Insights Into Viral Inflammatory Disease Mechanisms And Approaches To Therapy
Funder
National Health and Medical Research Council
Funding Amount
$631,010.00
Summary
This fellowship aims to establish how viruses cause disease, including how they evade the immune response to persist and cause disease for prolonged periods. My vision is that knowing how the virus and the immune system interact to determine disease severity will assist in devising new treatments and prevention programs to lessen the impact of viral diseases in Australia and worldwide.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE200100049
Funder
Australian Research Council
Funding Amount
$900,000.00
Summary
Whopping Volta GPU Cluster – Transforming Artificial Intelligence Research. Artificial intelligence (AI), as it continues to grow and evolve, is taking an increasingly leading role in strategic plans of the world’s leading economies, IT companies, and universities, with the promise to be a key driver in innovation, science, education, and society. This project will establish a whopping Volta graphical processing unit Cluster (wVGC) with the aim of smashing current impediments to compute-intensiv ....Whopping Volta GPU Cluster – Transforming Artificial Intelligence Research. Artificial intelligence (AI), as it continues to grow and evolve, is taking an increasingly leading role in strategic plans of the world’s leading economies, IT companies, and universities, with the promise to be a key driver in innovation, science, education, and society. This project will establish a whopping Volta graphical processing unit Cluster (wVGC) with the aim of smashing current impediments to compute-intensive AI research. The wVGC features a contemporary HPC system equipped with 120 most advanced NVIDIA Volta GPUs distributed in 30 high capable nodes. The wVGC will transform AI research in Australia, putting us on the same footing as leading research groups around the globe, and at the forefront of the world’s AI revolution.Read moreRead less
Impact Of DTP Schedules On The Immunogenicity Of 2 Doses Of 13v-PCV Followed By An Early Booster
Funder
National Health and Medical Research Council
Funding Amount
$2,651,687.00
Summary
This project aims to come up with a vaccination schedule to make pneumococcal vaccines more effective and affordable for Fiji and other developing countries. We will evaluate schedules involving a 2 dose primary series in early infancy with a booster at 9 months of age. We will compare the immune responses to 3 different primary series and 2 booster options. The results of this project will be used to provide advice, at global and country levels, regarding introduction of pneumococcal vaccines.
A theoretical framework for practical partial fingerprint identification. Fingerprints captured from a crime scene are often partial and poor quality which makes it difficult to identify the criminal suspects from large databases. This project will find mathematical models which can estimate the missing information located in the blank areas of a partial fingerprint and effectively identify it.
Machine Learning for Fracture Risk Assessment from Simple Radiography. This project aims to develop a novel, reliable, low-cost system to detect poor bone health and assess fracture risk to help to prevent and manage osteoporosis-related fractures. Currently, osteoporosis-related fractures cost our health system millions of dollars annually and costs are increasing with our ageing population. Early detection of poor bone health will improve the effectiveness of preventive measures and ease this ....Machine Learning for Fracture Risk Assessment from Simple Radiography. This project aims to develop a novel, reliable, low-cost system to detect poor bone health and assess fracture risk to help to prevent and manage osteoporosis-related fractures. Currently, osteoporosis-related fractures cost our health system millions of dollars annually and costs are increasing with our ageing population. Early detection of poor bone health will improve the effectiveness of preventive measures and ease this burden. Current methods include unreliable, crude clinical and visual guides that suggest osteoporosis screening. The project plans to develop a novel system by applying machine learning algorithms to radiology data which is commonly captured for diagnosing other conditions.Read moreRead less