AIMC Topic: Blood Preservation

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Cold storage surpasses the impact of biological age and donor characteristics on red blood cell morphology classified by deep machine learning.

Scientific reports Mar 5, 2025
Assessment of the morphology of red blood cells (RBCs) can improve clinical benefits following blood transfusion. Deep machine learning surpasses traditional microscopy-based classification methods, offering more accurate and consistent results while...
Humans Female Young Adult Adult Male Middle Aged Deep Learning Adolescent Age Factors Flow Cytometry Blood Donors Erythrocytes Cold Temperature Blood Preservation
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Blood quality evaluation on-chip classification of cell morphology using a deep learning algorithm.

Lab on a chip Apr 12, 2023
The quality of red blood cells (RBCs) in stored blood has a direct impact on the recovery of patients treated by blood transfusion, which directly reflects the quality of blood. The traditional means for blood quality evaluation involve the use of re...
Humans Algorithms Deep Learning Blood Transfusion Erythrocytes Lab-On-A-Chip Devices Blood Preservation
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