U of T Rounds: Machine Learning in Transfusion Medicine

Presented by:

Dr. Waseem Anani
Medical Officer, Canadian Blood Services
Assistant Professor, University of Toronto

Learning Objectives:

1.    Describe how machine learning techniques can be applied to transfusion medicine questions.
2.    Understand the drawbacks of machine learning in answering clinical questions.
3.    Describe the glycan changes on red blood cells in various disease states including sickle cell disease.

Note: This event is an Accredited Group Learning Activity (Section 1) as defined by the Maintenance of Certification program of The Royal College of Physicians and Surgeons of Canada.

Zoom: https://uhn-etms.zoom.us/j/93143333871
Meeting ID: 931 4333 3871

To view live and archived webcasts, please visit the ORBCoN Webcasting Centre. Click on the appropriate webcast title, which will take you directly to the presentation.

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The LearnTransfusion series is the seminar component of the Areas of Focused Competency (AFC)-Diploma Program in Transfusion Medicine. The series, organized by Canadian Blood Services is also open to all practitioners in the field of Transfusion Medicine. Through a series of regular webinars, trainees and practitioners are exposed to various scientific, technical and clinical aspects of transfusion medicine.