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Leaving No-one Behind: Informing Indigenous Aged Care Policy With Big Data.
Funder
National Health and Medical Research Council
Funding Amount
$1,668,851.00
Summary
Very little is known about older Indigenous people in aged care. Led by Indigenous people, this project will use a unique national dataset to answer questions on the experiences of Indigenous people in aged care, focusing on access and barriers to services and care, quality and safety of care and whether the care they receive meets their health needs. This research will inform service improvements and ensure older Indigenous people are not forgotten in much-needed aged care reforms.
Advancing The Spatial Analysis Of Cells In Tissues To Profile The Tumour Microenvironment
Funder
National Health and Medical Research Council
Funding Amount
$187,918.00
Summary
Tumours are composed of a mix of different cells, including cancer cells, immune cells and other cells supporting tumour growth. These cells are not organised randomly, but rather are distributed in specific patterns. Here we will develop computational methods to detect these patterns and determine what statistical tests should be used to compare samples. This project will give us the tools to investigate how the location of cells in tissues relates to treatment response and survival.
Identifying Unintentional Effects Of Medication Using Statistical Genetics Analyses Of Large-scale Genetic And Genomic Data
Funder
National Health and Medical Research Council
Funding Amount
$251,441.00
Summary
An increasing number of studies have highlighted unknown adverse effects of medication, for example, use of statins to lower cholesterol with increased risk of type 2 diabetes. The gold standard approach to confirm these effects is randomised control trials, which may not always be feasible or ethical, and are very expensive. This project aims to apply innovative statistical genetics approaches to (genetic and genomic) 'big-data' to predict unknown effects of commonly prescribed medications.
Sudden cardiac death (SCD) is a devastating consequence of a number of heart diseases. Underlying causes include inherited heart muscle problems (cardiomyopathies), with no cause found in 40%. Our study will investigate the role of 'concealed cardiomyopathy' cases, i.e. those with a SCD event with no evidence of heart disease, but carry errors in heart genes. Our findings will translate rapidly into more targeted clinical and genetic evaluation of families with the ultimate goal to prevent SCD.
Biomechanics Meets Phenomics: Towards Understanding And Predicting Abdominal Aortic Aneurysm (AAA) Disease Progression
Funder
National Health and Medical Research Council
Funding Amount
$1,324,897.00
Summary
The criterion used to decide whether to operate on an abdominal aortic aneurysm (AAA), based on the maximum diameter, does not take into consideration the rupture risk for a given patient. By combining imaging, computational biomechanics and metabolic phenotyping, we will assess the structural integrity of an AAA and local structural changes of systemic response. These will allow improved differentiation of rupture risk, leading to better outcomes for patients and savings for the health system.
ARX- A Hub Gene For A Common Biological Pathway In Schizophrenia
Funder
National Health and Medical Research Council
Funding Amount
$707,974.00
Summary
Schizophrenia is a severe psychiatric disorder with no cure. I have identified that some people with schizophrenia show variations to a gene called ARX. This project will use preclinical mouse models to explore how variations to the Arx gene affect brain molecules, networks of cells and behavioural outcomes. This biological pathway will provide the framework for the identification of new molecules to target therapeutically to modify the biological course of schizophrenia and improve outcomes.