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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Detaylı Bibliyografya
Yayımlandı:EBioMedicine
Asıl Yazarlar: 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
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Elsevier 2018
Konular:
Research paper
Online Erişim: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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