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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:EBioMedicine
Hlavní autoři: 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
Médium: Artigo
Jazyk:Inglês
Vydáno: Elsevier 2018
Témata:
Research paper
On-line přístup: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
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!

Podobné jednotky