Centre for Research Excellence: Precision Public Health Approaches to Breast Cancer Screening, Early Detection and Mortality Reduction
Project Details
The CRE, also known as MyBreast cancerRISK (MyBRISK), is combining a holistic and precision public health approach to breast cancer control. It is using artificial intelligence applied to digital mammograms, genomics, and personal and family data to stratify women across vastly different levels of breast cancer risk. Its aim is to enable more effective breast cancer screening by tailoring it to a woman’s risk level.
This is being achieved by:
- Developing, applying, and teaching advanced analytics. This includes applying AI to Big Datasets that comprise integrated state-of-the-art epidemiological and genetic studies using digital mammograms, family history and genomic testing
- Co-designing novel personalised screening pathways that translate our new models into improved breast cancer screening. This includes working with radiologists (BreastScreen and private), general practitioners, clinicians and women using qualitative interviews, focus groups and stakeholder engagement, as well as studying the health economic consequences of these models
- Continuing to inform pathobiology research on mammogram-based causes of breast cancer
- Creating widely accessible educational material to support implementation
- Using technological applications to provide an interface between women and clinicians by creating a simple automated decision support tool (BRISK) for women and health professionals
- Building a new generation of up-skilled early and mid-career researchers and clinical leaders with opportunities for training, mentorship, career development and international exchange
Researchers
Professor Melissa Southey (Unit Head and Chief Investigator)
The Late Professor John Hopper (Founding Member)
Dr Sue Malta (CRE Manager and Senior Researcher)
Our team of researchers and professional staff is listed here
Collaborators
MyBRISK CRE is a collaboration between the University of Melbourne and partner organisations. These include other research institutes and universities, general practice, government, radiologists, pathobiologists, community representative organisations, consumers and commercial businesses. Find our collaborators listed here
Explore joint projects
The MyBRISK team offers opportunities to develop collaborative projects and explore future grant applications as well as opportunities for graduate researchers. To discuss further, contact Dr Sue Malta at susan.malta@unimelb.edu.au
Funding
Funded by the National Health and Medical Research Council through a five-year grant (2022-2027).
Research Publications
Following are publications that are significant to the CRE, illustrating relevant innovation and findings:
Nguyen, T.L., et al., Predicting interval and screen-detected breast cancers from mammographic density defined by different brightness thresholds. Breast Cancer Res, 2018. 20(1): p. 152.
Schmidt, D.F., et al., Cirrus: An automated mammography-based measure of breast cancer risk based on textural features. JNCI Cancer Spectrum, 2018. 2(4): p. pky057.
Joo J, et al., Heritable DNA methylation marks associated with susceptibility to breast cancer. Nature Communications, 2018.
Stacy M. Carter, et al., The ethical, legal and social implications of using artificial intelligence systems in breast cancer care. The Breast 2020. 49: p. 25-32.
Michailidou, K., et al., Association analysis identifies 65 new breast cancer risk loci. Nature, 2017. 551(7678): p. 92-94.
Huo, C.W., et al., Mammographically dense human breast tissue stimulates MCF10DCIS.com progression to invasive lesions and metastasis. Breast Cancer Research, 2016. 18: p. 1-13.
Terry, M.B., et al., 10-year performance of four models of breast cancer risk: a validation study. Lancet Oncol, 2019. 20(4): p. 504-517.
Research Group
Breast CancerFaculty Research Themes
School Research Themes
Data science, health metrics and disease modeling, Prevention and management of non-communicable diseases (including cancer), and promotion of mental health, Screening and early detection of disease
Key Contact
For further information about this research, please contact the research group leader.
Department / Centre
Centre for Epidemiology and Biostatistics
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