DILI

Yuan Jin1,2, Yingqing Shou2, Qinkai Lei2

  • 1Key Laboratory of Birth Regulation and Control Technology of National Health Commission of China, Maternal and Child Health Care Hospital of Shandong Province Affiliated to Qingdao University, Jinan, China.

PubMed
概括

这项研究开发了一种新的机器学习方法,通过整合各种数据集和分析毒性途径来预测药物诱导的肝损伤 (DILI). 该模型实现了超过86%的精度,有助于药物开发和患者安全.