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Updated: Jun 7, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
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可解释的机器学习算法识别了乳腺癌治疗中的中介代谢特征和生物标志物

Ning Xie1, Dehua Liao2, Binliang Liu1

  • 1Department of Breast Cancer Medical Oncology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Changsha, Hunan, China.

Journal of clinical laboratory analysis
|November 21, 2024
PubMed
概括

研究人员确定了两个关键代谢物FAPy-adenine和2-pyrocatechuic acid,作为预测治疗反应的潜在生物标志物,在接受inetetamab治疗的HER2-阳性乳腺癌 (BC) 患者中.

关键词:
乳腺癌 乳腺癌 乳腺癌在开始的tetamab疗法中.机器学习是机器学习.血代谢物质是血代谢物质.治疗标志物治疗标志物

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