Combining microfluidics with machine learning algorithms for RBC classification in rare hereditary hemolytic anemia

Combining microfluidics with machine learning algorithms for RBC classification in rare hereditary hemolytic anemia

Abstract Combining microfluidics technology with machine learning represents an innovative approach to conduct massive quantitative cell behavior study and implement smart decision-making systems in support of clinical diagnostics. The spleen plays a key-role in rare hereditary hemolytic anemia (RHH...

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Bibliographic Details
Main Authors: Valeria Rizzuto, Arianna Mencattini, Begoña Álvarez-González, Davide Di Giuseppe, Eugenio Martinelli, David Beneitez-Pastor, Maria del Mar Mañú-Pereira, Maria José Lopez-Martinez, Josep Samitier
Format: Article
Language:English
Published: Nature Publishing Group 2021-06-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-92747-2

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https://doi.org/10.1038/s41598-021-92747-2

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