人工智能与制剂在工业中的发展趋同的现状:一篇回顾
Siddhesh Warke1, Oly Katari1, Sanyog Jain2
1Centre for Pharmaceutical Nanotechnology, Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research (NIPER), Sec-67, S.A.S. Nagar, Punjab, 160062, India.
AAPS PharmSciTech
|November 26, 2025
概括
人工智能 (AI) 和机器学习 (ML) 加快了制药药物开发,缩短了新药的上市时间. 这些技术为优化配方和大规模生产流程提供了巨大的潜力.
科学领域:
- 制药科学 制药科学
- 计算生物学 计算生物学
- 药物开发 药物开发
背景情况:
- 由于复杂性和时间限制,制药行业在药物开发方面面临着挑战.
- 人工智能 (AI) 和机器学习 (ML) 的整合正在药物发现和开发中迅速增加.
- 工业4.0强调过程自动化和加速开发,推动AI/ML的采用.
研究的目的:
- 审查当前关于AI和ML在制药配方开发中的研究.
- 确定人工智能和机器学习可以有利于大规模制药产品开发的领域.
- 突出AI和ML在优化药物开发时间表和流程方面的潜力.
主要方法:
- 对药物配方AI/ML当前研究的文献综述.
- 对AI/ML在药物发现,开发和制造中的应用进行分析.
- 识别行业趋势和投资模式在AI/ML的药品.
主要成果:
- 人工智能和机器学习在药物开发中越来越多地被利用,其中一个例子是mRNA疫苗设计.
- 显著的研发投资正在流入制药行业的AI/ML应用.
- 人工智能/ML工具显示出增强早期配方开发和整体生产力的前景.
结论:
- 人工智能和机器学习的整合可以显著减少药物开发时间表和成本.
- 需要进一步的细化和结构化的指导,以使AI/ML在行业中得到广泛的采用.
- 人工智能和机器学习具有巨大的潜力,可以彻底改变制药研发和生产.
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