Genotype and Machine Learning Based Blood Matching: Towards Improved Transfusion Outcomes
2nd April 2025
10:30 to 12:30
Hringsalur, Landspítali Hringbraut

Join us for an insightful session on high-throughput genotyping technology, which enables automated, simultaneous typing of HEA, HPA, and HLA antigens.
Guest speaker: Nicholas Gleadall on behalf of the Blood Transfusion Genomics and Haem-Match Consortium Assistant Professor of Transfusion and Transplantation Genomics Victor Dahdaleh Heart and Lung Research Institute Department of Haematology University of Cambridge and NHS Blood and Transplant.
This talk will offer valuable insights into the future of genotyping blood donors and patients, as well as the advancement and expansion of blood bank genomic services to better serve patients in Iceland.
Dr. Gleadall will also discuss the Haem-Match Consortium's innovative machine-learning-based solutions for optimizing blood allocation with extended matching criteria.
This is a fantastic opportunity to learn about cutting-edge advancements in transfusion medicine! Don’t miss it!
The talk will begin at 11am.
Light refreshments and coffee will be available from 10:30am to 11am.
The Blood Transfusion Genomics Consortium (BGC), a consortium of 15 major blood supply organizations, has developed the Universal Blood Donor Typing (UBDT) array, a high-throughput genotyping technology enabling automated, simultaneous typing of human erythroid, platelet, and leukocyte antigens (HEA, HPA, and HLA).
In parallel, the Haem-Match Consortium has developed machine-learning-based solutions to optimize blood allocation using extended matching criteria.
Together, these innovations offer blood services the ability to enhance transfusion outcomes, reducing alloimmunization risk while improving blood supply logistics.
