Automated Screening Measures Associated With Risk And Treatment (SMART) Of Breast Cancer
Funder
National Health and Medical Research Council
Funding Amount
$98,244.00
Summary
Women with greater mammographic density (white area on a mammogram) are at greater risk of breast cancer. Prof Hopper (supervisor) has led international research in this area using a method called CUMULUS. Drs Makalic and Schmidt (co-supervisors) have created an automated measure, called CIRRUS. My aims are to: find out which factors influence CIRRUS, confirm that CIRRUS predicts breast cancer risk, and develop automated measures of a breast cancer risk based on magnetic resonance imaging (MRI).
Complex Statistical Analyses Of Genome-wide Association Studies Related To Breast And Prostate Cancers Using High Performance Supercomputing
Funder
National Health and Medical Research Council
Funding Amount
$656,073.00
Summary
Breast and prostate cancers are the most common cancers in Australian women and men. Simple analyses of genome-wide association (GWAS) studies explain only a fraction of why these cancers run in families. The University of Melbourne now has a supercomputer that can conduct much more complex analyses. We will apply these to the world’s GWAS data for breast and prostate cancers. We hope to learn more about the causes of these cancers, and expand an expert Australian workforce in supercomputing.