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在急性髓性白血病的多中心队列中基于机器学习的综合预后模型的建立

Lin Yan1, Huasong Yu1, Xiaoyi Xu2

  • 1State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.

Frontiers in oncology
|October 30, 2025
PubMed
概括

这项研究确定了急性髓性白血病 (AML) 中的关键基因,以预测患者的结果. 一种新的预后模型,MLAPS,显示出强大的预测能力,CD69是AML的潜在治疗目标.

关键词:
在RNA-Seqq.急性骨髓性白血病 (AML) 是一种急性骨髓性白血病.机器学习是机器学习.预后 预后 预后瘤微环境是一个微环境.

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