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Home » ORBCoN Resources » Presentation Library »

Machine Learning in Transfusion Medicine

Presented by Dr. Waseem Anani, October 28, 2021

If you require a certificate of attendance please request at info@transfusionontario.org

Presentation Library

University of Toronto Transfusion Medicine Rounds

How do we improve transfusion practice in pediatric massive hemorrhage protocols?
Pre-transfusion medications for reaction prevention and treatment
Exploring the relevance of race and ethnicity in transfusion medicine
Trials Update Session: STRATUS trial – Low volume tubes and MINT trial
Treating Neonates with Anemia and Thrombocytopenia: Can current evidence drive the practices?
What’s new with TRALI?
You can’t improve what you don’t measure
Antiplatelet Therapy and Intracranial Hemorrhage: Is There Any Role for Platelet Transfusion?
Reducing risk from transfusion in patients with sickle cell disease -indications for transfusion/avoidance of transfusion and alternatives to transfusion
Cultural Perspective of Blood Transfusion in Indigenous Communities
Specialist in Transfusion Science Program
Reflecting on the RePHILL Trial
Behaviour Change Approaches to Implementation Science in Transfusion Medicine
Who is missing?: Underrepresented communities in trauma research
Big Data Applications in Transfusion Medicine: Size Matters
MLT Session – Interesting Serology Cases
The EPIC Experience
RhIG Administration in Early Pregnancy, Now and In the Future
Red Blood Cell Transfusion in Cardiac Patients: How low can we go?
Using Blood Wisely: Progress at 18 months
Use of plasma and platelets prior to interventional radiology procedures: The times, they are a-changin
Machine Learning in Transfusion Medicine
Albumin: Understanding the Controversy
CONCOR-1 Study
CBS Inventory and Engineering perspectives in Future
Cold Immune Hemolytic Anemia: Clinical aspects and advances in treatment
FP Analysis, START Study Results
SCD: Genotyping/alloimmunization prevention and management

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