Clinically validated machine learning algorithm for detecting residual diseases with multicolor flow cytometry analysis in acute myeloid leukemia and myelodysplastic syndrome - 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; et al. (EBioMedicine, 2018)
Keywords: Acute myeloid leukemia; Advanced Basic Science; Artificial intelligence; Disease-Free Survival; Female; Flow Cytometry; Humans; Internal Medicine; Leukemia, Myeloid, Acute - blood; Leukemia, Myeloid, Acute - mortality; Leukemia, Myeloid, Acute - therapy; Machine Learning; Male; Minimal residual disease; Multicolor flow cytometry; Myelodysplastic syndrome; Myelodysplastic Syndromes - blood; Myelodysplastic Syndromes - mortality; Myelodysplastic Syndromes - therapy; Neoplasm, Residual; Predictive Value of Tests; Research paper; Survival Rate; Minimal residual disease; Multicolor flow cytometry; Acute myeloid leukemia; Artificial intelligence; Myelodysplastic syndrome