From Unit to Dose: A Machine Learning Approach for Precise Prediction of Hemoglobin and Iron Content in Individual Packed Red Blood Cell Units

From Unit to Dose: A Machine Learning Approach for Precise Prediction of Hemoglobin and Iron Content in Individual Packed Red Blood Cell Units

Abstract Transfusion of packed red blood cells (pRBCs) saves lives, but iron overload limits survival of chronically transfused patients. Quality control methods, which involve entering pRBC units and removing them from the blood supply, reveal that hemoglobin (38.5–79.9 g) and heme iron (133.42–276...

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Bibliographic Details
Main Authors: Jeremy Epah, Ilay Gülec, Stefan Winter, Johanna Dörr, Christof Geisen, Eva Haecker, Dietmar Link, Matthias Schwab, Erhard Seifried, Richard Schäfer
Format: Article
Language:English
Published: Wiley 2022-12-01
Series:Advanced Science
Subjects:
hemoglobin
iron
machine learning
packed red blood cells
personalized medicine
prediction
Online Access:https://doi.org/10.1002/advs.202204077

Internet

https://doi.org/10.1002/advs.202204077

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