[人工智能在药物开发中的革命]
Philippe Moingeon1, Christiane Garbay1, Muriel Dahan1
1Académie nationale de pharmacie, Paris, France.
概括
人工智能 (AI) 和机器学习为药物发现和开发创建预测模型. 这种计算方法使个性化医疗成为可能,并将虚拟模型与现实世界的研究相结合,以加强药物开发.
科学领域:
- 计算生物学是一种计算生物学.
- 药理学 药理学是指药理学的学科.
- 生物技术是生物技术.
背景情况:
- 人工智能 (AI) 和机器学习 (ML) 越来越多地用于药物发现和开发.
- 预测模型可以表示疾病异质性,并确定治疗点.
研究的目的:
- 探索AI和ML在推动药物发现和开发中的作用.
- 突出计算方法在精准医学中的潜力.
- 在药物开发中引入虚拟模型与实证研究的整合.
主要方法:
- 利用人工智能和机器学习来构建预测计算模型.
- 开发模型来表示疾病异质性并确定治疗点.
- 用虚拟患者或数字双胞胎来评估药物的疗效.
主要成果:
- 人工智能和机器学习有助于设计和优化候选药物.
- 计算模型使"计算"精准医学能够进行个性化治疗.
- 预测模型与现实研究的整合正在制药行业出现.
结论:
- 人工智能和机器学习显著提高了药物发现和开发中的决策.
- 计算精准医学提供基于个体患者数据的量身定制治疗.
- 结合虚拟和实证研究的混合现实方法正在改变药物开发.
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