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Breast cancer

Project Leader(s): 

Postdoctoral Fellow: Dr. Daniel Flores-Tapia, Department of the Mathematics, University of Manitoba

Lead faculty member: Dr. Kirill Kopotun, Department of the Mathematics, University of Manitoba

Non-academic participants: 

Breast Microwave Radar is a promising new technology for breast cancer detection. Nevertheless, current image formation methods face issues that limit the use of this technology in clinical scenarios. The goal of this project is to use mathematical modeling and analysis to develop a novel image formation method for breast microwave radar suitable for use in realistic breast imaging settings. This technique will be capable of generating accurate and high contrast images for a specific patient in real time.

Project Leader(s): 

Postdoctoral Fellow: Dr. Yildiz Yilmaz, Dalla Lana School of Public Health, University of Toronto

Lead faculty member: Dr. Shelley Bull, Dalla Lana School of Public Health, University of Toronto

The objective of the project is to develop, evaluate and apply informative statistical methods to the task of identifying novel genes/pathways involved in breast cancer recurrence. A model for time to cancer recurrence using clinical, pathological, and molecular measures in the setting of high-dimensional genome-wide genetic scans will be developed that allows for a proportion of the patients to be long-term survivors.

Project Leader(s): 

Dr. Shelley Bull, University of Toronto

Project team: 
Dr. Rafal Kustra, University of Toronto
Dr. David Tritchler, University of Toronto
Dr. Gerarda Darlington, University of Guelph
Dr. Celia Greenwood, University of Toronto
Dr. Kenneth Morgan, McGill University
Dr. Jinko Graham, Simon Fraser University
Dr. Brad McNeney, Simon Fraser University
Dr. J.C. Loredo-Osti, Memorial University of Newfoundland
Dr. Joseph Beyene, University of Toronto
Funding period: 
February 25, 2022 - March 31, 2021

Complex traits, such as susceptibility to diabetes, cancer or tuberculosis, which vary in human and natural populations, are determined by multiple genetic and environmental factors that interact with one another in complicated ways. This interaction depends upon population characteristics as well as characteristics of the individual and the family.