Clinically validated machine learning algorithm for detecting residual diseases with multicolor flow cytometry analysis in acute myeloid leukemia and myelodysplastic syndrome

BACKGROUND: Multicolor flow cytometry (MFC) analysis is widely used to identify minimal residual disease (MRD) after treatment for acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS). However, current manual interpretation suffers from drawbacks of time consuming and interpreter idiosync...

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Dades bibliogràfiques
Publicat a:EBioMedicine
Autors principals: Ko, Bor-Sheng, Wang, Yu-Fen, Li, Jeng-Lin, Li, Chi-Cheng, Weng, Pei-Fang, Hsu, Szu-Chun, Hou, Hsin-An, Huang, Huai-Hsuan, Yao, Ming, Lin, Chien-Ting, Liu, Jia-Hau, Tsai, Cheng-Hong, Huang, Tai-Chung, Wu, Shang-Ju, Huang, Shang-Yi, Chou, Wen-Chien, Tien, Hwei-Fang, Lee, Chi-Chun, Tang, Jih-Luh
Format: Artigo
Idioma:Inglês
Publicat: Elsevier 2018
Matèries:
Research paper
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6284584/
https://ncbi.nlm.nih.gov/pubmed/30361063
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ebiom.2018.10.042
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