Coupling biophotonic modalities with machine based recognition systems for disease diagnosis. This project will develop new ways to diagnose canine cancer, malaria and atherosclerosis using infrared-based technology and sophisticated pattern recognition techniques in the hope to discover infrared biomarkers that will lead to early diagnosis of the disease and ultimately save lives.
Integrated multi-level interpretation and its applications for intelligent multimodality biomedical image navigation, retrieval and tracking. The 64- and 128-slice positron emission tomography – computed tomography (PET-CT) devices at the Royal Prince Alfred Hospital were the first in the country. These scanners, with the medical cyclotron and radiochemistry facilities, represent an investment of over A$13 million. This project will address pressing issues in optimising the utilisation of the in ....Integrated multi-level interpretation and its applications for intelligent multimodality biomedical image navigation, retrieval and tracking. The 64- and 128-slice positron emission tomography – computed tomography (PET-CT) devices at the Royal Prince Alfred Hospital were the first in the country. These scanners, with the medical cyclotron and radiochemistry facilities, represent an investment of over A$13 million. This project will address pressing issues in optimising the utilisation of the information and systems to provide better service to patients and referring clinicians. This research will add considerable value to Australia's medical imaging infrastructure and healthcare delivery; and advance scientific research in better understanding of system biology, physiology and pathology. The research outcomes will strengthen Australia’s leading position in biomedical information technology research and Australian medical imaging expertise.Read moreRead less
Biomedical Visual Image Analytics for Multi-disciplinary Retrieval. The project aims to develop a framework to provide users with the interactive access to information that is necessary for the best collaborative decision-making. Visual analytics theory is becoming increasing valuable for managing ‘big data’ because it can provide interactive and intuitive understanding of the rich information embedded within complex data and decision support systems. There are, however, fundamental challenges t ....Biomedical Visual Image Analytics for Multi-disciplinary Retrieval. The project aims to develop a framework to provide users with the interactive access to information that is necessary for the best collaborative decision-making. Visual analytics theory is becoming increasing valuable for managing ‘big data’ because it can provide interactive and intuitive understanding of the rich information embedded within complex data and decision support systems. There are, however, fundamental challenges that currently prevent visual analytics from being routinely applied to multi-disciplinary collaboration, which is now ‘the norm’ to solve large complicated problems where there is significant social impact. This project aims to address these challenges and improve visual analytics theory by developing a biomedical visual image analytics framework that enables interactive information retrieval of multidisciplinary databases.Read moreRead less
Multiscale integration of imaging and omics data. This project aims to integrate multiscale imaging and molecular data to characterise disease in patients. Modern healthcare needs to embrace ‘big (health) data’s potential to address an ageing population’s increasing healthcare demands and the inefficiencies and waste in patient treatment. This project expects to pioneer basic science research in methodologies to integrate, correlate and then derive knowledge from multi-scale data, to characteris ....Multiscale integration of imaging and omics data. This project aims to integrate multiscale imaging and molecular data to characterise disease in patients. Modern healthcare needs to embrace ‘big (health) data’s potential to address an ageing population’s increasing healthcare demands and the inefficiencies and waste in patient treatment. This project expects to pioneer basic science research in methodologies to integrate, correlate and then derive knowledge from multi-scale data, to characterise the mechanisms of disease in individual patients, in space and time. Its integrated model is expected to form the basis of a framework for individualised patient disease analysis.Read moreRead less
An integrated virtual functional human body (VFHB). This research is aimed at extracting and harnessing new knowledge from the immense volume of biomedical imaging data that is currently generated in healthcare through innovative information technologies. These technologies will allow a ‘virtual functional human body’ in a realistic, comprehensible visual format to be built, which will be accessible to researchers and lay individuals. It is expected that it will lead to a paradigm-change in the ....An integrated virtual functional human body (VFHB). This research is aimed at extracting and harnessing new knowledge from the immense volume of biomedical imaging data that is currently generated in healthcare through innovative information technologies. These technologies will allow a ‘virtual functional human body’ in a realistic, comprehensible visual format to be built, which will be accessible to researchers and lay individuals. It is expected that it will lead to a paradigm-change in the delivery of information systems, scientific discovery and impact on a lay individual's perception of their health status such that it will empower them to actively participate in their health and general well-being.Read moreRead less
Med-Graphic Avatar - a comprehensive, holistic and customisable model for personal health records. Our customisable Med-Graphic Avatar will open up unprecedented access, intuitive interpretation, smart utilisation, and new understanding of massive, diverse health data, and will herald a revolution in patient-centric, holistic medical care, synergising with next generation of participatory, personalised, preventative and predictive eHealth.