Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while pres ....Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while preserving the data privacy. These tools should provide significant benefits to the privacy of cloud users, as well as financial and reputation benefits to the IT industry, by significantly reducing the likelihood of massive user data privacy breaches in the event of a cyber-hacking attack on the cloud server.Read moreRead less
Semantic Vectorisation: From Bitmaps to Intelligent Representations. The objective of this innovative project is to provide a solution to the open question of representing natural images by semantically rich vector graphics. The challenges are to identify key visual and temporal elements for images and videos, and efficiently decompose the visual data into semantic vector representations that are faithful to original data, compact and editable. The project aims to investigate new bitmap-to-vecto ....Semantic Vectorisation: From Bitmaps to Intelligent Representations. The objective of this innovative project is to provide a solution to the open question of representing natural images by semantically rich vector graphics. The challenges are to identify key visual and temporal elements for images and videos, and efficiently decompose the visual data into semantic vector representations that are faithful to original data, compact and editable. The project aims to investigate new bitmap-to-vector conversion methods. It is expected to develop a framework where semantic labels and hyperlinks can be embedded in visual data automatically. It hopes to pioneer the creation of a web of images where the links are on image/video regions. New image simplification, stylisation, and non-photorealistic rendering methods are expected to be provided.Read moreRead less
Reducing The Greatest Uncertainty In Radiotherapy.
Funder
National Health and Medical Research Council
Funding Amount
$594,197.00
Summary
The weakest link in radiotherapy is defining treatment volumes (contouring). Lack of accuracy and consistency in clinical trial contouring has been shown to result in reduced patient outcomes. Manual review of contouring is resource intensive, expensive and for advanced treatments unachievable in a timely fashion. We will assess an automated approach to contouring assessment using 4 clinical trial datasets, changing practice for future studies and enabling consistent assessment in the clinic.
We have discovered a single tumour factor which causes cancer cachexia, a wasting condition that is one of the worst complications of malignancy, for which there is no current effective treatment. We have developed antibodies which effectively block this condition in preclinical models and have produced human/humanised version of this. This application is to characterise these human antibodies to allow us proceed to clinical trials.
Alpha-particles linked to recombinant antibodies targeting tumour cells have potential to effectively treat tumours while minimising normal tissue side effects. We will explore a novel alpha-particle therapy approach to solid tumours, by delivering 225Ac directly into tumour cells, or into cells that support the tumour (microenvironment). This approach will hopefully result in development of a new approach to treatment of cancers that are resistant to conventional therapies.
Humanisation And Pre-clinical Validation Of A Therapeutic Anti-cancer Antibody
Funder
National Health and Medical Research Council
Funding Amount
$699,136.00
Summary
This grant will develop a novel antibody against a protease expressed on cancer cells. Preclinical studies, and antibody humanisation, will be performed. This project will also provide vital information on optimal therapeutic approaches with the antibody that can be ultimately taken into human trials.
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.
ADAM Metalloprotease Inhibition For Treatment Of Colorectal Cancer
Funder
National Health and Medical Research Council
Funding Amount
$770,925.00
Summary
Colorectal cancer (CRC) causes over 4000 deaths/year, typically from developing drug resistance and spreading to other organs (metastasis). These processes involve tumour cells called cancer stem cells (CSCs), which rely on specific cell surface proteins for survival and function. We are developing antibodies against one of these type of proteins, to test in mouse models of CRC. These already show promise in targeting CSCs and inhibiting drug-resistance and metastasis in mice.
ARC Centre of Excellence for Robotic Vision. Robots are vital to Australia's future prosperity in the face of high relative wages, low or decreasing productivity, and impending labour shortages. However the work and workplaces of our most important industries are unstructured and changeable and current robots are challenged by their inability to quickly, safely and reliably "see" and "understand" what is around them. The Centre's research will create the fundamental science and technologies th ....ARC Centre of Excellence for Robotic Vision. Robots are vital to Australia's future prosperity in the face of high relative wages, low or decreasing productivity, and impending labour shortages. However the work and workplaces of our most important industries are unstructured and changeable and current robots are challenged by their inability to quickly, safely and reliably "see" and "understand" what is around them. The Centre's research will create the fundamental science and technologies that will allow robots to see as we do, and overcome the last barrier to the ubiquitous deployment of robots into society for the benefit of all.Read moreRead less