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Updated: Jul 12, 2025

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
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机器学习方法用于评估药物的TdP风险,使用心脏电生理学模型,包括个人间的变化

Yunendah Nur Fuadah1,2, Ali Ikhsanul Qauli1,3, Aroli Marcellinus1

  • 1Computational Medicine Lab, Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, Republic of Korea.

Frontiers in physiology
|October 20, 2023
PubMed
概括

这项研究开发了一种可靠的药物诱导心脏毒性预测系统,使用来自人类心室细胞模型和机器学习的多in silico特征. 该方法准确预测Torsade de Pointes (TdP) 风险,改善药物安全性评估.

关键词:
药物风险评估 药物风险评估可以解释的人工智能AI网格搜索 网格搜索 网格搜索在 silico 的特征.机器学习是机器学习.在Torsade de Pointes的位置上

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