Advancement Of A Personalised Approach To Minimising Infective Complications In Cancer Care
Funder
National Health and Medical Research Council
Funding Amount
$265,138.00
Summary
Managing infections in patients with cancer have become more difficult and unpredictable because of new generation cancer therapies. Measuring the response of the immune system (immune profiling) will allow us to predict which patients will develop infection so that action such as vaccination can be taken to reduce their risk. This program will refine immune profiling to personalise infection care for cancer patients and to introduce it into hospital practice.
Healthy Lungs For Life: A Life Course Approach To Reduce COPD
Funder
National Health and Medical Research Council
Funding Amount
$2,491,398.00
Summary
Chronic Obstructive Lung Disease (COPD) causes breathing distress, disability and premature death. I have shown that COPD mostly has its origins in childhood. This means we can now identify early life risk factors to prevent COPD or help us catch it early, to improve health. My 5-year vision is to reduce the dire burden of COPD by creating evidence to change guidelines and policy and facilitating the transfer of that knowledge to practice.
Brain Connectivity Imaging Markers To Confirm Diagnosis For Bipolar Vs. Unipolar Depression – A Connectome Approach.
Funder
National Health and Medical Research Council
Funding Amount
$434,369.00
Summary
Differentiating Bipolar disorders from Unipolar Depression is a major clinical challenge. This misdiagnosis hinders optimal clinical care and has many deleterious consequences such self-harm, increased chances of suicide, poor prognosis, and greater health care costs related to this disorder. This project will provide urgently-needed advance in accurate identification of Bipolar disorders using Magnetic Resonance Imaging and remove one of the key obstacles to accurate diagnosis.
Modelling Of Clinic And Ambulatory Blood Pressure On Cardiovascular Risk And Outcomes
Funder
National Health and Medical Research Council
Funding Amount
$133,957.00
Summary
Whilst ambulatory blood pressure monitoring data has been shown to be a good predictor of cardiovascular events, there remains controversy as to its utility in clinical practice. This project will use data from existing population and clinical cohort studies to examine the role of ambulatory blood pressure in risk assessment and hypertension management in Australia and around the globe. The findings are likely to have a major impact on clinical guidelines for hypertension management.
A Worldwide Study Of Cancer Risk For Lynch Syndrome
Funder
National Health and Medical Research Council
Funding Amount
$710,761.00
Summary
People with the genetic Lynch syndrome are more likely to get cancer but we cannot accurately predict who will get cancer and when. Doctors need this information to improve cancer prevention. Large collaborative studies are needed for this research. We have agreement from the 115 researchers to combine, into a single resource, 8,863 family trees of Lynch syndrome. We will analyse this data to determine the risk of cancer and whether it differs by sex, age, or nationality.
Improved And Automated Measures Of Breast Cancer Risk Based On Digital Mammography And Family History Data Collected By BreastScreen That Will Enable Tailored Screening For Breast Cancer
Funder
National Health and Medical Research Council
Funding Amount
$741,180.00
Summary
We will use mammograms and family history information collected by BreastScreen to update and improve our automated measures of mammographic density for the new era of digital mammograms. We will then develop a new risk prediction tool by combining the measure of mammographic density for digital mammograms with other risk factors so that information on risk can be given to women at the time of their scans. The results of this project will enable Australian women to receive tailored screening.
Predicting Fracture Outcomes From Clinical Registry Data Using Artificial Intelligence Supplemented Models For Evidence-informed Treatment (PRAISE) Study
Funder
National Health and Medical Research Council
Funding Amount
$636,217.00
Summary
This project will establish the role of artificial intelligence (AI) techniques to improve the prediction of clinical and longer-term patient reported outcomes following wrist fracture. Prediction models based on existing, routinely collected registry data with will be compared with models based on registry data enhanced by AI analysis of X-ray images, radiology reports and surgical reports. The AI analysis will reason on both image and text data, better replicating how humans learn.
Sudden Cardiac Arrest: Improving Detection Of Patients At Risk
Funder
National Health and Medical Research Council
Funding Amount
$838,845.00
Summary
Sudden cardiac death accounts for ~10% of deaths in our community. Many of these deaths occur in people who could otherwise have had many more years of productive life ahead of them. The aim of our research is to determine the underlying mechanisms so that we can develop better tools for detecting underlying problems before they become life threatening and potentially develop new treatments to modify the underlying causes.
Developmental Schizotypy In The General Population: Early Risk Factors And Predictive Utility.
Funder
National Health and Medical Research Council
Funding Amount
$830,952.00
Summary
This study will determine early childhood risk factors for psychosis-proneness in children aged 11 years, and emerging signs and symptoms of mental health disorders of these children, using population data from the NSW Child Development Study. Determining risk for psychosis as early as possible in the life course will enable the provision of preventative interventions to children at critical points in development.