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.
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.
Osteoarthritis Compass: Predicting Personalized Disease Onset And Progression With Future Capacity For Clinical Use.
Funder
National Health and Medical Research Council
Funding Amount
$860,231.00
Summary
Knee osteoarthritis (OA) is common, painful, and costly. General guidelines for knee OA management exist but cannot be personalized to the patient. New computer modelling methods enable prediction of knee OA onset and progression on a patient by patient basis but need further testing. Our aims are to 1) apply these new computer modelling methods to legacy datasets acquired from patient groups at risk of, and with, knee OA, and 2) make these models simple and fast enough to be clinically useful.
Improving Cardiac Valve Implant Outcomes With Advanced Computer Simulation
Funder
National Health and Medical Research Council
Funding Amount
$593,367.00
Summary
This project focuses on improving heart valve procedures, specifically focusing on new transcatheter techniques of heart valve implantation. The research uses advanced imaging and computer simulation techniques to predict the outcome and improve minimally invasive heart procedures.