通过数字设计的质量整合人工智能,以实现可持续的制药制造
Rand Abdulhussain1, Haja Muhamad1, Toaha Fiza1
1Department of Pharmacy, University of Huddersfield, Huddersfield HD1 3DH, UK.
International journal of pharmaceutics
|February 16, 2026
概括
人工智能 (AI) 集成到数字设计质量 (QbDD) 中,彻底改变了制药制造业. 这种数字化方法通过实时监测和预测控制来提高药品质量,效率和可持续性.
科学领域:
- 制药制造业 制药制造业 制药制造业
- 数字化转型 数字化转型
- 人工智能的人工智能
背景情况:
- 制药行业正在经历重大数字化转型,以提高产品质量,制造效率和环境可持续性.
- 传统的设计质量 (QbD) 原则正随着数字技术的整合而演变.
研究的目的:
- 探索人工智能 (AI) 在数字设计 (QbDD) 质量框架中的整合.
- 检查QbDD作为药品制造中传统QbD方法的演变的潜力.
- 评估人工智能在促进制药行业可持续性方面的作用.
主要方法:
- 审查有关AI和QbDD的当前文献和行业实践.
- 分析人工智能,机器学习,数字双胞胎和先进的数据分析,以优化药物开发和制造.
- 检查人工智能应用在能源优化,废物减少,预测性维护和供应链效率方面的应用.
主要成果:
- 数字设计的质量 (QbDD) 利用人工智能和数字工具重新定义关键组件,如设计空间,关键质量属性和实时发布测试.
- 人工智能可以通过实时监控和预测分析来实现主动和自适应的过程控制.
- 人工智能应用显示出提高制药制造业可持续性的巨大潜力,包括节能和减少废物.
结论:
- 支持人工智能的QbDD与传统的QbD相比,是一个显著的进步,提供了增强的控制和优化.
- 成功实施需要解决诸如监管调整,数据完整性和劳动力发展等挑战.
- 在可持续制药制造业中更广泛地采用人工智能,将为未来带来巨大的机会.
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