Dec 07, 2021

Dean Regier appointed Chair for the new Regulatory Advisory Council at Academy of Translational Medicine

Dr. Regier will provide leadership to establish the Regulatory Advisory Council and the Academy of Translational Medicine as leaders in regulatory affairs in Canada, and guide the evolving regulatory and health policy landscapes to advance the translation of scientific discoveries into solutions that improve patient care, therapeutics and research knowledge.
Sep 21, 2020

Drs. Maryam Darvishian and Parveen Bhatti published in Journal of Medical Virology on the association between markers of immune response at hospital admission and COVID‐19 disease severity and mortality

Congratulations to Drs. Maryam Darvishian and Parveen Bhatti of Cancer Control Research for having their paper entitled “Association between markers of immune response at hospital admission and COVID‐19 disease severity and mortality: A meta‐analysis and meta‐regression” accepted by the Journal of Medical Virology.
Jul 06, 2022

Dr. Helen McTaggart-Cowan has been appointed to Scientist in the Cancer Control Research department

Stuart Peacock, CCR department head, and Magali Coustalin, administrative manager, are very pleased to announce that Dr. Helen McTaggart-Cowan has been appointed to the role of Scientist in the department of Cancer Control Research.  Dr. McTaggart-Cowan has been a valued member of the ARCC team in CCR since 2010.  Her ongoing work is in the area of Health Services Research and Cancer Survivorship, and currently, she is developing a program with an overarching research aim to tailor health services to meet the diverse needs of cancer survivors.

Jul 06, 2022

Multi-Channel Content Based Image Retrieval Method for Skin Diseases Using Similarity Network Fusion and Deep Community Analysis

Congratulations, Yuheng Wang, for publishing his work on content-based image processing. This is the best AI system so far for automatically retrieving images with similar diagnoses from a database. The main contribution of the proposed system is that it can work with databases of multiple data types while avoiding the problem of dimensionality bias between different modalities.

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