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.
-
May 12, 2026, 16:46Tagreed Alkaltham: Why Apheresis Matters in Modern Transfusion Medicine
-
May 12, 2026, 16:37Reinhold Kreutz: Cardiovascular Burden in Acute Intermittent Porphyria Needs Greater Awareness
-
May 12, 2026, 16:33Pablo Corral: The Truth About Very Low LDL-Cholesterol
-
May 12, 2026, 16:24Mildred Lundgren: We Must Talk About the Invisible Causes of Stroke
-
May 12, 2026, 16:17Irene Scala: The Sex Disparities In Access to Acute Stroke Treatments In Italy
-
May 12, 2026, 16:04May Nour: UCLA Health Mobile Stroke Unit Becomes The 1st In The World to Perform mCTA In the Field
-
May 12, 2026, 15:57Leonardo Roever: Prognostic Impact of Lipoprotein(a) and CAR in Elderly Acute Ischemic Stroke Patients
-
May 12, 2026, 15:54Bruno Pougault: Prioritizing Laboratory Tests in Resource-Limited Emergency Care
-
May 12, 2026, 15:37Jennifer Holter Chakrabarty: Supporting the Next Generation of Hematology Researchers