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WIT - Championing issues of sex and gender in transplantation

Sunday September 22, 2024 - 10:30 to 11:30

Room: Çamlıca

WIT3.3 Experiences: Benefits of investigating sex/gender for my research project / Clinical/ Translation research

Ruth Sapir-Pichhadze, Canada

Associate Professor of Medicine
McGill University

Biography

Dr. Ruth Sapir-Pichhadze is a clinician scientist and a transplant nephrologist at McGill University Health Centre. She completed training in General Internal Medicine, Nephrology, and Kidney Transplantation at the University of Toronto. Thereafter, she enrolled in the Eliot Phillipson Clinician Scientist Training Program and received a PhD in Clinical Epidemiology and Health Care Research at the Institute of Health Policy, Management and Evaluation at the University of Toronto. Dr. Sapir-Pichhadze is leading a CIHR, FRQS, and Genome Canada funded research program, which focuses on the application of personalized medicine strategies for the prevention of immune-mediated injuries. Specifically, she is interested in identifying genetic determinants of donor and recipient compatibility in an effort to optimize organ allocation schemes, inform personalized surveillance schedules, and establish individually tailored therapeutic regimens in kidney transplant candidates and recipients. In recognition of her efforts, Dr. Sapir-Pichhadze has been awarded the prestigious KRESCENT-CIHR New Investigator and the Chercheur boursier clinicien - Junior 1 awards.
My research focuses on studying the determinants of kidney transplant outcomes. I am particularly interested in identifying strategies to prevent immune-mediated injuries following kidney transplantation. Methodologically, I have experience in observational studies using large registries and single center databases, health services research, systematic reviews, decision analyses, epidemiologic methods for evaluating diagnostic test accuracy in the presence or absence of a gold standard, as well as analytic methods capable of dealing with time-varying variables and competing risks.

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