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An improved advanced fragment analysis-based classification and risk stratification of pediatric acute lymphoblastic leukemia.

Yanran SunQiaosheng ZhangGuoshuang FengZhen ChenChao GaoShuguang LiuRuidong ZhangHan ZhangXueling ZhengWenyu GongYadong WangYong WuJie LiHuyong Zheng
Published in: Cancer cell international (2019)
Compared to the previous AFA assay, the iAFA technique is more functional, time-saving and labor-saving. It could be a valuable clinical tool for the classification and risk stratification of pediatric ALL patients.
Keyphrases
  • acute lymphoblastic leukemia
  • end stage renal disease
  • machine learning
  • deep learning
  • ejection fraction
  • newly diagnosed
  • chronic kidney disease
  • prognostic factors
  • peritoneal dialysis
  • patient reported outcomes