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

Journal: EBioMedicine
Published Date:

Abstract

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 idiosyncrasy. Artificial intelligence (AI), with the expertise in assisting repetitive or complex analysis, represents a potential solution for these drawbacks.

Authors

  • Bor-Sheng Ko
    Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
  • Yu-Fen Wang
    Tai-Cheng Stem Cell Therapy Center, National Taiwan University, Taipei, Taiwan.
  • Jeng-Lin Li
    Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan.
  • Chi-Cheng Li
    Tai-Cheng Stem Cell Therapy Center, National Taiwan University, Taipei, Taiwan; Center of Stem Cell and Precision Medicine, Buddhist Tzu Chi General Hospital, Hualien, Taiwan.
  • Pei-Fang Weng
    Tai-Cheng Stem Cell Therapy Center, National Taiwan University, Taipei, Taiwan.
  • Szu-Chun Hsu
    Department of Laboratory Medicine, National Taiwan University Hospital, Taipei, Taiwan.
  • Hsin-An Hou
    Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
  • Huai-Hsuan Huang
    Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
  • Ming Yao
    Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
  • Chien-Ting Lin
    Tai-Cheng Stem Cell Therapy Center, National Taiwan University, Taipei, Taiwan.
  • Jia-Hau Liu
    Tai-Cheng Stem Cell Therapy Center, National Taiwan University, Taipei, Taiwan.
  • Cheng-Hong Tsai
    Tai-Cheng Stem Cell Therapy Center, National Taiwan University, Taipei, Taiwan.
  • Tai-Chung Huang
    Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
  • Shang-Ju Wu
    Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
  • Shang-Yi Huang
    Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
  • Wen-Chien Chou
    Department of Laboratory Medicine, National Taiwan University Hospital, Taipei, Taiwan.
  • Hwei-Fang Tien
    Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
  • Chi-Chun Lee
  • Jih-Luh Tang
    Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan; Tai-Cheng Stem Cell Therapy Center, National Taiwan University, Taipei, Taiwan. Electronic address: tangjh@ntu.edu.tw.