Artificial intelligence to empower diagnosis of myelodysplastic syndromes by multiparametric flow cytometry

The diagnosis of myelodysplastic syndromes (MDS) might be challenging and relies on the convergence of cytological, cytogenetic, and molecular factors. Multiparametric flow cytometry (MFC) helps diagnose MDS, especially when other features do not contribute to the decision-making process, but its us...

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Detalles Bibliográficos
Autores principales: Clichet, Valentin, Lebon, Delphine, Chapuis, Nicolas, Zhu, Jaja, Bardet, Valérie, Marolleau, Jean-Pierre, Garçon, Loïc, Caulier, Alexis, Boyer, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Fondazione Ferrata Storti 2023
Materias:
Article - Myelodysplastic Syndromes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10483367/
https://www.ncbi.nlm.nih.gov/pubmed/36924240
http://dx.doi.org/10.3324/haematol.2022.282370

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10483367/
https://www.ncbi.nlm.nih.gov/pubmed/36924240
http://dx.doi.org/10.3324/haematol.2022.282370

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