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Updated: Jan 7, 2026

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通过SRG和OCLR干细胞指数,通过机器学习辅助多发性骨髓瘤侧面细胞群的预后

Xufei Xiang1, Ruiyi Yang2, Jicong Li1

  • 1School of Biomedical Sciences & Shandong Medicinal and Biotechnology Center, Shandong First Medical University, Jinan, 250117, China.

Computer methods and programs in biomedicine
|December 31, 2025
PubMed
概括

来自多发性骨髓瘤干细胞的新预后基因签名改善了患者的预测结果. 这种特征区分化疗抵抗和免疫逃避,指导针对性疗法,以更好地治疗多发性骨髓瘤.

关键词:
癌症的茎性 癌症的茎性机器学习是机器学习.多发性骨髓瘤是一种多发性骨髓瘤.预报 预测 预测 预测侧面人口细胞 侧面人口细胞

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