TABLE 1: Perth TEAMS
TEAM NAME LEAD INSTITUTE SCI-TECH PROPOSITION
PremiOMICS Curtin University
Preterm birth is a major global problem that leads to death and disability in children. Every year there are 15 million PTB; of those 1.1 million will die within the first month. Despite availability of preventative treatments, doctors are unable to identify at-risk women early and accurately. To address this unmet clinical need, PremiOmics will generate a highly predictive risk profile to assist doctors identify which women to treat and how, through enhancing analysis of the mother’s routine testing with Big Data using artificial intelligence. Ultimately our goal is to reduce extreme PTB by 40 per cent in Australia.
Stealth Technologies The University of Western Australia
We propose a multi-drone carrier variant of our autonomous UGV, to become an Autonomous Drone Carrier (ADC). The ADC will deploy and co-ordinate multiple drones and/or cycle through drones, charging them at the station for continuous operation. The carrier is autonomous and can navigate itself to a launch potion, then the drones will autonomously deploy and perform their required mission. The capability of the drones is interchangeable and can be customised to meet specific requirements. The medium size of the ADC makes them deploy-able via helicopter, whilst large enough to perform multiple drone swarm missions.
MelDx Edith Cowan University
The aim of this research is to develop a diagnostic assay for the detection of melanoma skin cancer and is based on the measurement of a combination of autoantibodies. These biomarkers signal the first immune response toward the cancer and allow a high degree of accuracy in the diagnosis of primary melanoma via a simple blood test. In the future, we anticipate the test to be an additional tool for the routine diagnosis of melanoma to enhance diagnostic certainty and prevent the further spread of the cancer.
Sheep Productivity Partnership Department of Primary Industries and Regional Development (Western Australia)
This team is focus on a Sheep Productivity Partnership to help the industry increase productivity and efficiencies for sheep meat and wool production leading to improved profitability for the supply chain and greater opportunities for regional jobs and growth. It will also help livestock have a more positive impact on environmental and climate targets to meet obligations of their sector. It may also create a greater market demand for these products as there is community and customer understanding of the production systems and a social licence to operate, leading to an industry that is financially and socially resilient and is able to deal with risks including variable seasons, changing markets and environmental impacts.
ECU Melanoma Research Team Edith Cowan University
Melanoma is a deadly skin cancer. There is a critical need for melanoma-specific markers that can be used for treatment selection, predict response to therapies and monitoring patients that undergoing therapy. We propose the use of a blood test we are developing as a minimally-invasive surrogate to tumour biopsy to aid in the clinical management of patients with melanoma and other cancer types.
Food Stori - Food Provenance Platform using Blockchain Curtin University
Food safety and provenance is a multibillion dollar industry and people are willing to pay more for their food if they know where the food was grown. For this you need to have a transparent and traceable supply chain. Our solution “Food Stori” helps farmers who want to provide provenance of their produce. Our subscription based software platform captures, analyses and immutably records produce history using blockchain technology. We help the entire spectrum of agribusiness supply chain partners from paddock to plate, so the end consumer has confidence in what they eat.
JCAC The University of Notre Dame Australia
Scientific evidence highlights the negative outcomes physical inactivity can have on employees, including chronic disease, mental illness and reduced productivity. Employee wellness programs provide exercise opportunities to promote health outcomes. The University of Notre Dame Australia runs a unique EWP program which addresses limitations of typical EWP’s by delivering targeted exercise programs, considerate of an individual’s goals and readiness to change, and is supported with one-to-one supervision. This project seeks to partner with organisations with the explicit intent of enhancing employee health and wellbeing via consolidation of an EWP model evidenced to provide a strong return on investment.
GP Research The University of Notre Dame Australia
Electronic Medical Records (EMRs) provide opportunity to build Intelligent Decision Support Systems enabling personalised primary care. Audit tools have demonstrated that general practice patient records held within GP databases can be used to identify individuals at risk of chronic disease using appropriately coded data. Information contained in patient notes and reports are often not systematically coded and accessible. Natural language processing AI tools may be useful in analysing this complex information to support decision making in primary care eg provide the GP with more complete and targeted clear summaries of the patients’ multimorbid conditions, associated medications and services used.
The Accelerator Pipeline Telethon Kids Institute
We will establish the Accelerator for Systems Biology and Advanced Analytics in Paediatrics (ASAP), a powerful, cutting-edge pipeline developed in-house to address the pressing need for deep expertise in multi-omic research and big data integration across all domains. The objective of this pipeline will be to accelerate the progress, translation and impact of research centred around systems biology and precision medicine in paediatrics. By integrating biological as well as epidemiological data for individuals and populations, the most pressing health concerns in society today will be addressed.
CHASM The University of Western Australia
Current methods to map aggregate spatiotemporal phenomena, such as disease rates, are fundamentally inaccurate, resulting in inefficient resource allocation and poor outcomes across many areas of human endeavour. However, these inaccuracies are poorly understood and their impact is underestimated. We have developed a solution to the problems of spatiotemporally mapping aggregated data. However, implementation of this solution requires a) an awareness of the problem, b) proficiency in or access to R programming capacity. To solve this, we propose two things: a communications campaign and a user-friendly interface to implement the solution.

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