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...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:EBioMedicine
Main Authors: 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
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2018
Assuntos:
Research paper
Acesso em linha: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
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados