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Updated: Jan 20, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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使用机器学习来预测PFAS降解的第一阶反应速率常数

Chenhao Pei1,2, Yifan Qian1,2, Jie Shen1,3

  • 1State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 211135, China.

Bulletin of environmental contamination and toxicology
|January 19, 2026
PubMed
概括

本研究引入了一种机器学习框架,用于预测和多基物质 (PFAS) 的降解率. 该模型强调实验条件是影响PFAS分解的关键因素,有助于整治策略.

关键词:
环境整治 环境整治机器学习是机器学习.在PFAS中,我们可以使用PFAS.反应速率常数反应速率常数

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