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.
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.
An International Comparison Of Systems Of Care, Risk Stratification And Outcomes In TIA And Minor Stroke
Funder
National Health and Medical Research Council
Funding Amount
$1,189,790.00
Summary
Transient ischaemic attacks (TIAs: self-limited brief episodes of stroke symptoms) are high-risk events with an approximately 15% risk of stroke within 90-days. Current practice calls for specialist treatment within 1-7 days. But this recommendation (based on 20 year old overseas evidence) may not apply in contemporary Australia. We will conduct a study of patients with TIA that will document their interactions with Australian health systems and inform contemporary Australian practice.
The identification, prevention and management of chronic disease risk factors and understanding impact on clinical outcomes is fundamental to improving health and well-being. The program of work encapsulated in this application utilises a number of research methods to advance our understanding and provide new directions for cardiovascular disease prevention and management.
Novel Morphological Retinal Vascular Features As Early Biomarkers Of Vision-threatening Eye Diseases.
Funder
National Health and Medical Research Council
Funding Amount
$107,169.00
Summary
Vision loss is not just a personal health burden, but a huge socio-economical burden. Management of major vision-threatening eye diseases such as diabetic retinopathy, age-related macular degeneration and glaucoma will be improved if we can successfully identified persons at risk of developing the disease before clinical presentation to benefit from preventive treatment. My research aims to contribute to the prediction of these blinding diseases using advanced computer imaging analysis for simpl ....Vision loss is not just a personal health burden, but a huge socio-economical burden. Management of major vision-threatening eye diseases such as diabetic retinopathy, age-related macular degeneration and glaucoma will be improved if we can successfully identified persons at risk of developing the disease before clinical presentation to benefit from preventive treatment. My research aims to contribute to the prediction of these blinding diseases using advanced computer imaging analysis for simple retinal photographs.Read moreRead less