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基于人工智能和机器学习的方法来预测遗传损害.

Abhishek Tripathi1, Alisha1, Riya1

  • 1Department of Computational Biology, Indraprastha Institute of Information Technology, New Delhi, India.

Methods in molecular biology (Clifton, N.J.)
|November 22, 2025
PubMed
概括

遗传毒理学研究了病原体对遗传的有害影响. 人工智能 (AI) 和机器学习 (ML) 模型越来越多地用于预测基因毒性损害和评估药物开发风险.

关键词:
艾姆斯试验的测试人工智能的人工智能是人工智能.深度学习是一种深度学习.遗传损伤是一种遗传损伤.基因毒性药物 基因毒性药物基因毒性预测的预测机器学习是机器学习.在QSAR中使用QSAR.

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