Current Projects
The RUBY Study
IN-SYNC: Understanding the biology of breast cancer
The RUBY Study
Reducing there Burden of Breast Cancer in Young Women
Co-PI: May Lynn Quan
A self-management intervention to support young women with breast cancer.
Sapphire
IN-SYNC: Understanding the biology of breast cancer
The RUBY Study
Sapphire: Improving Outcomes for Young Women with Breast Cancer
Co-PI: May Lynn Quan
A self-management intervention to support young women with breast cancer.
IN-SYNC: Understanding the biology of breast cancer
IN-SYNC: Understanding the biology of breast cancer
IN-SYNC: Understanding the biology of breast cancer
IN-SYNC: A Pilot Study to Establish Research Tools for Understanding the Biology of Breast Cancer in Women 40 Years and Under
PI: May Lynn Quan
A live cell banking process for young-onset breast tumours that can be used in live cell studies.
Predicting pathologic complete response
Alberta Cancer SCN Breast Health Initiative Collaboration
IN-SYNC: Understanding the biology of breast cancer
A Prediction Model for Pathologic Complete Response Following Neoadjuvant Chemotherapy in Breast Cancer Using Routinely-collected Health Record Data in Alberta
PI: Darren Brenner
Prediction models to support successful neoadjuvant treatment.
Etiology of young vs. older-onset breast cancer
Alberta Cancer SCN Breast Health Initiative Collaboration
Alberta Cancer SCN Breast Health Initiative Collaboration
Mutational Landscape Differences Between Young-Onset and Older-Onset Breast Cancer Patients
PI: Darren Brenner
A cross-comparison of tumours that will help identify mutational signatures by age group.
Alberta Cancer SCN Breast Health Initiative Collaboration
Alberta Cancer SCN Breast Health Initiative Collaboration
Alberta Cancer SCN Breast Health Initiative Collaboration
The Cancer Strategic Clinical Network (SCN) established the Provincial Breast Health Initiative to implement improvements and address gaps in care across breast cancer pathways.
PI: May Lynn Quan
Natural language processing method
Algorithms for metastatic recurrence
Natural language processing method
Validating a natural language processing method for identifying complete pathologic response of breast cancer patients undergoing neoadjuvant chemotherapy from electronic pathology reports.
PI: Shawn Xu
Diagnostic Interval
Algorithms for metastatic recurrence
Natural language processing method
New methods to determine the diagnostic interval for cancer patients using administrative data.
PI: Shawn Xu
Algorithms for metastatic recurrence
Algorithms for metastatic recurrence
Algorithms for metastatic recurrence
Developing algorithms to determine the cancer patients with metastatic recurrence using real-world data.
PI: Shawn Xu
Collaborative Projects
PLAN Study
Prevention of persistent pain with lidocaine infusions in breast cancer surgery (PLAN)
Exploring interventions to prevent persistent pain after breast cancer surgery through the use of lidocaine infusions.
Completed Projects
I-CARE
Improving CARE in Elderly Breast Cancer Patients A retrospective study that identifies strategies to improve treatment and outcomes for women aged 75 and older.
