Machine learning demonstrates that somatic mutations imprint invariant morphologic features in myelodysplastic syndromes

Morphologic interpretation is the standard in diagnosing myelodysplastic syndrome (MDS), but it has limitations, such as varying reliability in pathologic evaluation and lack of integration with genetic data. Somatic events shape morphologic features, but the complexity of morphologic and genetic ch...

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Detalhes bibliográficos
Publicado no:Blood
Main Authors: Nagata, Yasunobu, Zhao, Ran, Awada, Hassan, Kerr, Cassandra M., Mirzaev, Inom, Kongkiatkamon, Sunisa, Nazha, Aziz, Makishima, Hideki, Radivoyevitch, Tomas, Scott, Jacob G., Sekeres, Mikkael A., Hobbs, Brian P., Maciejewski, Jaroslaw P.
Formato: Artigo
Idioma:Inglês
Publicado em: American Society of Hematology 2020
Assuntos:
Plenary Paper
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7702479/
https://ncbi.nlm.nih.gov/pubmed/32961553
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1182/blood.2020005488
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