人工智能在持续过程验证中的应用建议:向生物制药行业的人工智能挑战和好处的旅程
Mario Stassen1, Catarina S Leitão2, Toni Manzano3
1Department of Life Sciences Innovation, Stassen Pharmaconsult BV, Aerdenhout, The Netherlands; mmhstassen@gmail.com.
PDA journal of pharmaceutical science and technology
|December 27, 2024
概括
人工智能 (AI) 通过实时数据分析和主动调整来增强生物制药中的持续过程验证 (CPV). 本综述为制药制造业中合规和安全的AI集成提供了建议.
科学领域:
- 制药制造业 制药制造业 制药制造业
- 生物技术是生物技术.
- 人工智能的人工智能
背景情况:
- 持续过程验证 (CPV) 对于维持制药制造业的质量至关重要.
- 人工智能 (AI) 的整合为CPV带来了新的机遇和挑战.
- 未来CPV项目启动了AI在CPV中的作用的探索.
研究的目的:
- 审查人工智能对生物制药行业CPV的影响.
- 识别应用人工智能到CPV中的挑战和机遇.
- 为制药制造业对AI的合规和安全实施提供建议.
主要方法:
- 在生物制药CPV中对AI应用的文献综述.
- 对人工智能整合的挑战和机会的分析.
- 根据监管标准和最佳实践制定建议.
主要成果:
- 人工智能为CPV的实时数据分析和主动过程调整提供了巨大的潜力.
- 关键的挑战包括将人工智能解决方案与严格的监管标准保持一致.
- 强调透明度,可解释性和风险管理对于成功采用人工智能至关重要.
结论:
- 人工智能可以改变CPV,确保高质量的制药产品并满足监管的期望.
- 需要最佳实践来弥合人工智能潜力和实际应用之间的差距.
- 这项工作为在制药行业实施人工智能,机器学习和深度学习提供了指导方针.
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