Automated texture selection and classification methods for detection of osteoarthritis in knee radiographs. In Australia there are 1-2 million OA sufferers, a condition that costs approximately $9 billion annually. This project will address an important problem of early detection and monitoring of OA and this remains in line with the National Research Priority 2. Potential outcomes of the project will result in better diagnosis and treatment of OA, reduced discomfort to the individual and saving ....Automated texture selection and classification methods for detection of osteoarthritis in knee radiographs. In Australia there are 1-2 million OA sufferers, a condition that costs approximately $9 billion annually. This project will address an important problem of early detection and monitoring of OA and this remains in line with the National Research Priority 2. Potential outcomes of the project will result in better diagnosis and treatment of OA, reduced discomfort to the individual and saving to the national economy. This project will improve existing activity and rehabilitation programs such as exercise of lower limbs and it will help in developing diets for healthy people and OA sufferers.Read moreRead less
An Integrated Proteomic and Bioinformatic Approach for Classifying Raw and Cooked Fish. Truth in labelling of foodstuffs is an international concern. In Australia, one of the most vulnerable industries is fishing. The fishing industry and the CSIRO have pioneered standardized fish names, but to date there is no rapid test that can provide answers that are better than 'yes' or 'no' to those who seek to enforce health and consumer regulations or provide provenance data to an industry valued at ....An Integrated Proteomic and Bioinformatic Approach for Classifying Raw and Cooked Fish. Truth in labelling of foodstuffs is an international concern. In Australia, one of the most vulnerable industries is fishing. The fishing industry and the CSIRO have pioneered standardized fish names, but to date there is no rapid test that can provide answers that are better than 'yes' or 'no' to those who seek to enforce health and consumer regulations or provide provenance data to an industry valued at $2.3Billion.
This project will develop a robust testing method based on an integrated proteomic and bioinformatics system that will ensure truth in labelling of raw and cooked fish samples for the benefit of Australia's fishing industry.Read moreRead less