毒性
化学毒性
器官系统
计算机科学
风险分析(工程)
医学
病理
内科学
疾病
作者
Jie Liu,Wenjing Guo,Fan Dong,Tucker A. Patterson,Huixiao Hong
出处
期刊:Computational methods in engineering & the sciences
日期:2023-01-01
卷期号:: 519-537
被引量:1
标识
DOI:10.1007/978-3-031-20730-3_22
摘要
Organ toxicity is a leading concern in safety assessment for regulatory agencies and pharmaceutical companies. Due to the huge amount of compounds and the limitation in animal toxicity testing, alternative and innovative approaches are urgently needed for toxicity assessment. It is a tremendous challenge for organ level toxicity prediction due to the differences among organs and the complicated mechanisms of organ toxicity induction. With the advantages of efficiency and low cost, machine learning methods have been used as promising alternatives for organ toxicity prediction. This chapter reviews the current advances in organ toxicity prediction using machine learning.
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