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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Autores principales: 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
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/ef93268b7f6d46169f3c3acc7cd6ac84
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