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Updated: Jan 15, 2026

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RSC4All作为一种机器学习的诺米图,用于预测RSClinTM在HR+/HER2-节点负的早期乳腺癌中产生的结果

F Jacobs1, S D'Amico2, E Ferraro3

  • 1Humanitas Cancer Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.

ESMO open
|October 8, 2025
PubMed
概括

在早期乳腺癌中,RSC4All准确地预测了远程复发风险和化疗效益,反映了RSClinTM的性能. 这种可访问的工具有助于在RSClinTM无法使用的情况下做出治疗决策.

关键词:
型DX是DX的型型.在 RSClinTM 的基础上.作为辅助的决策过程.乳腺癌 乳腺癌 乳腺癌基因组测试是基因组测试.机器学习名ogramogram 机器学习名ogram

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