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Updated: Jun 26, 2025

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最近机器学习方法的进展,用于预测药物开发中的致癌性.

Nguyen Quoc Khanh Le1,2,3,4, Thi-Xuan Tran5, Phung-Anh Nguyen6,7

  • 1Professional Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.

Expert opinion on drug metabolism & toxicology
|May 14, 2024
PubMed
概括

机器学习 (ML) 正通过改善致癌性预测来彻底改变药物开发. 这种方法提高了安全性评估,克服了传统方法的局限性,使药物发现更加有效和准确.

关键词:
人工智能的人工智能是人工智能.致癌性的预测预测.计算毒理学计算毒理学药物开发是药物的发展.机器学习是机器学习.预测建模预测建模安全评估安全评估的安全评估.毒性基因组学 毒性基因组学

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