Sheharyar Raza: Applying AI to Accelerate Big Data Research in Transfusion Medicine
Sheharyar Raza, Transfusion Medicine Specialist and Data Scientist at University Health Network, shared on LinkedIn about a recent article he and his colleagues co-authored, adding:
”Big Data and AI are mutually reinforcing technologies. Organizations building either capability need to consider both.
In this article for the International Society of Blood Transfusion (ISBT) journal, co-authors Ruchika Goel, Na Li et al discuss how AI can be applied to accelerate various steps in big data research pipelines in transfusion medicine. A key takeaway is that there is substantial untapped opportunity in all aspects of big data, with significant risks well worth the effort of solving them.”
Title: Harnessing big data and artificial intelligence in transfusion medicine: Opportunities for precision, safety and efficiency
Authors: Sheharyar Raza, Ruchika Goel, Christian Erikstrup, Angelo D’Alessandro, Brian Custer, Na Li
Read the Full Article on International Society of Blood Transfusion
Stay updated on all scientific advances with Hemostasis Today.
-
Nov 8, 2026, 19:31Anna Kajaste-Rudnitski: Presenting AAV-Induced p53 Signalling in Human CNS Cells at ESGCT 26
-
Nov 8, 2026, 19:29David McIntosh: Cybersecurity Matters, but Blood Availability Remains the Bigger Challenge
-
Nov 8, 2026, 19:26Wenxue Ma: An Integrative Framework for Macrophage-Mediated Therapeutic Resistance in Cancer
-
Nov 8, 2026, 19:25Yildiz Yigit: Presenting a Polycythemia Vera Case at the MPN Subcommittee Session
-
Nov 8, 2026, 18:56Denis Oduor: Strengthening the Regulation and Delivery of Blood Transfusion and Transplantation Services
-
Nov 8, 2026, 18:28Raghavendra Rao: A Narrative Review on Chronic Venous Disease during Pregnancy
-
Nov 8, 2026, 17:57Dhiren Patel: PLD1-Derived Phospholipids Regulate NAD Kinase and ROS Production in Neutrophils
-
Nov 8, 2026, 17:48Andra T.: What Causes Antiphospholipid Syndrome? – Four Steps, not One Cause
-
Nov 8, 2026, 17:38Nasrin Samadi: Can a Normal Clotting Test Be Misleading?