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Nanoporous siloxane membranes for ultrasound mediated ophthalmic drug delivery. This project will develop tailored polymers for use in a novel non-invasive ocular drug delivery device which treats vision threatening conditions such as age-related macular degeneration (AMD). The outcomes of this project will enable an entirely new ocular drug delivery technology, thereby delivering significant benefit to ophthalmic healthcare.
A data science framework for modelling disease patterns from medical images. A data science framework for modelling disease patterns from medical images. This project aims to extract models of disease patterns from medical imaging data, using deep learning, smart image processing, machine learning, and statistical modelling to quantify and model patterns conventional methods cannot detect. These disease models are expected to improve understanding of particular diseases and enable precision medi ....A data science framework for modelling disease patterns from medical images. A data science framework for modelling disease patterns from medical images. This project aims to extract models of disease patterns from medical imaging data, using deep learning, smart image processing, machine learning, and statistical modelling to quantify and model patterns conventional methods cannot detect. These disease models are expected to improve understanding of particular diseases and enable precision medicine, which recognises that there are important differences between individuals with a particular disease, and that when patients are separated into sub-populations with similar disease patterns, treatment can be tailored to these sub-populations.Read moreRead less
Developing Best Practice for Settlement Services for Refugee Women-at-Risk. As one of the few countries offering a Woman-at-Risk visa category, Australia is committed to providing support to this vulnerable group during the process of settlement. Each year, approximately $17 million is allocated to women at risk to assist with the process of settlement; however, there is a paucity of research to inform settlement practice specific to this group. This project aims to understand the determinants o ....Developing Best Practice for Settlement Services for Refugee Women-at-Risk. As one of the few countries offering a Woman-at-Risk visa category, Australia is committed to providing support to this vulnerable group during the process of settlement. Each year, approximately $17 million is allocated to women at risk to assist with the process of settlement; however, there is a paucity of research to inform settlement practice specific to this group. This project aims to understand the determinants of psychosocial wellbeing for women-at-risk during settlement and to draw upon the ecological model of community psychology to inform the design and delivery of settlement services for this group.Read moreRead less
Factors influencing the adoption and diffusion of supply chain technology standards in Australia. This project seeks to enable more organisations to use technologies such as bar codes and radio-frequency identification (RFID) tags. Studies show that 3.5 per cent of sales are lost due to information inefficiencies, 30 per cent of inventory records have errors, and 60 per cent of all invoices have errors. These types of errors and losses can be reduced through use of these technologies because the ....Factors influencing the adoption and diffusion of supply chain technology standards in Australia. This project seeks to enable more organisations to use technologies such as bar codes and radio-frequency identification (RFID) tags. Studies show that 3.5 per cent of sales are lost due to information inefficiencies, 30 per cent of inventory records have errors, and 60 per cent of all invoices have errors. These types of errors and losses can be reduced through use of these technologies because they enable more efficient and effective flow of goods and services. All four industry sectors we will study can benefit from these technologies: reduced errors and better service delivery in the healthcare sector; improved quality control and reduced transportation costs for primary producers; improved coordination and reduced transport related carbon emissions for automotive manufacturing and fast moving consumer goods sectors.Read moreRead less
Integrated depression management: a trial of a new model of care in a low vision rehabilitation setting. The project will integrate depression management into Vision Australia services and evaluate the impact of this new model of care. We anticipate that this new approach will lead to sustained improvements in clients’ quality of life.
Stopping the run-around: comorbidity action in the north (CAN). The purpose of the project is to identify the barriers and facilitators to effective use of mental health and drug and alcohol services in a metropolitan region of South Australia. The evidence base will then drive the development and implementation of effective change to service delivery to improve outcomes for people with comorbidity.
A new biomechanical model for understanding aging of stored Red Blood Cells. This project plans to develop a novel modelling framework to accurately represent the biomechanical properties of red blood cells (RBCs) over time under stored conditions. Stored RBCs suffer ageing-related deformability changes which impede RBC functions. The framework aims to integrate models for RBC membrane, inside haemoglobin and outside storage solution, and accounts for ageing effects by embedding time-dependent c ....A new biomechanical model for understanding aging of stored Red Blood Cells. This project plans to develop a novel modelling framework to accurately represent the biomechanical properties of red blood cells (RBCs) over time under stored conditions. Stored RBCs suffer ageing-related deformability changes which impede RBC functions. The framework aims to integrate models for RBC membrane, inside haemoglobin and outside storage solution, and accounts for ageing effects by embedding time-dependent correlations. It should provide new insights and understanding of the mechanisms of deformability changes of RBCs during stored lifespan. Therefore, it should significantly improve blood storage industry practices in terms of improving RBC storage protocols with preventative ageing strategies.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC170100030
Funder
Australian Research Council
Funding Amount
$4,133,659.00
Summary
ARC Training Centre in Cognitive Computing for Medical Technologies. The ARC Training Centre in Cognitive Computing for Medical Technologies aims to create a workforce that is expert in developing, applying and interrogating cognitive computing technologies in data-intensive medical contexts. This will facilitate the next generation of data-driven and machine learning-based medical technologies. The Centre will provide a world-class industry-driven research training environment for PhD students ....ARC Training Centre in Cognitive Computing for Medical Technologies. The ARC Training Centre in Cognitive Computing for Medical Technologies aims to create a workforce that is expert in developing, applying and interrogating cognitive computing technologies in data-intensive medical contexts. This will facilitate the next generation of data-driven and machine learning-based medical technologies. The Centre will provide a world-class industry-driven research training environment for PhD students and postdoctoral researchers. These researchers will lead the medical technology industry into a new era of data-driven personalised and precision medical devices and applications. The Centre will result in the development of capabilities in the core technologies of machine learning and the practical application of cognitive computing in the area of health.Read moreRead less
Achieving gender equality in STEMM hospital and health service research. This project addresses the crucial and vexed question of why gender inequality remains pervasive and persistent in Science, Technology, Engineering, Mathematics and Medicine (STEMM) workforces, despite substantial and wide-ranging efforts to effect change. Specifically, it examines the systemic causes of gender inequality in hospital and health research environments, a highly under-researched area of national significance. ....Achieving gender equality in STEMM hospital and health service research. This project addresses the crucial and vexed question of why gender inequality remains pervasive and persistent in Science, Technology, Engineering, Mathematics and Medicine (STEMM) workforces, despite substantial and wide-ranging efforts to effect change. Specifically, it examines the systemic causes of gender inequality in hospital and health research environments, a highly under-researched area of national significance. The project will result in critically-informed, pragmatic strategies that enable health service organisations to detect and redress gender inequality. The research advances inclusive and effective STEMM workforces and, ultimately, world-leading health research practice and gender equality in Australia.Read moreRead less
Effective Recommendations based on Multi-Source Data. Large-scale data collected from multiple sources such as the Web, sensor networks, academic publications, and social networks provide a new opportunity to exploit useful information for effective and efficient recommendations and decision making. The project will propose a new framework of recommender systems that is based on analysing relationships between different types of objects from multiple data sources. A graph model will be built to ....Effective Recommendations based on Multi-Source Data. Large-scale data collected from multiple sources such as the Web, sensor networks, academic publications, and social networks provide a new opportunity to exploit useful information for effective and efficient recommendations and decision making. The project will propose a new framework of recommender systems that is based on analysing relationships between different types of objects from multiple data sources. A graph model will be built to represent the extracted semantic relationships and novel linkage-analysis based algorithms will be developed for ranking objects. The results from this project will underpin many critical applications such as healthcare.Read moreRead less