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Updated: Sep 11, 2025

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在多发性骨髓瘤的治疗反应预测模型的构建,基于多omics和机器学习

Xionghui Zhou1, Rong Gui2, Jing Liu3

  • 1Department of Blood Transfusion, Third Xiangya Hospital, Central South University, Changsha 410013. 2314710056@qq.com.

Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences
|August 11, 2025
PubMed
概括

这项研究确定了与多发性骨髓瘤 (MM) 治疗反应不佳相关的代谢变化. 使用代谢学和转录学的机器学习模型准确地预测新诊断的MM患者的治疗结果.

关键词:
机器学习是机器学习.代谢生物组的代谢生物组多发性骨髓瘤是多发性骨髓瘤的一种.预测模型 预测模型翻译学 翻译学 翻译学 翻译学

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Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
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