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Updated: Feb 4, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
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Published on: August 29, 2025

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通过循环训练和验证的帮助,通过机器学习开发和验证用于初级质瘤的强大的cuproptosis相关签名

Yi Zheng1, Pancheng Wu2,3, Si Yang4

  • 1Department of Clinical Oncology, Xijing Hospital, The Fourth Military Medical University, Xi'an, China.

Discover oncology
|February 2, 2026
PubMed
概括

这项研究为原发性质瘤开发了与cuproptosis相关的预后特征 (CRPS),改善了生存预测. CRPS的性能优于现有方法,并有助于个性化患者管理.

关键词:
这种疾病叫做cuproptosis.机器学习 机器学习主要的质瘤预测 预后 预测 预测瘤微环境是一个微环境.

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