在药物和生物产品开发中利用人工智能:FDA和临床试验转型倡议研讨会报告
Atasi Poddar1, Marsha Samson1, Gabriel K Innes1
1Office of Medical Policy, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA.
NEJM AI
|December 12, 2025
概括
人工智能 (AI) 可以显著提高药物开发效率. 本文讨论了在药物和生物产品开发中整合人工智能的挑战和政策需求.
科学领域:
- 药理学和制药科学 药理学和制药科学
- 生物技术是生物技术.
- 监管科学 监管科学
背景情况:
- 人工智能 (AI) 提供了提高药物开发效率和准确性的机会.
- 在药物开发中可扩展地采用人工智能面临着独特的挑战.
- 监管机构和行业利益相关者正在探索AI的作用.
研究的目的:
- 综合了关于人工智能在药物和生物产品开发中的公开研讨会的见解.
- 确定AI在制药行业实施的指导原则.
- 强调需要制定政策,以支持人工智能集成.
主要方法:
- 美国食品和药物管理局和临床试验转型倡议召开了一场公开研讨会.
- 参与者包括医疗产品赞助商,技术创新者,学者和监管机构.
- 综合了关于AI应用和挑战的讨论中的关键见解.
主要成果:
- 人工智能在整个药物产品生命周期中具有变革性的潜力.
- 讨论确定了负责任的人工智能使用的关键原则.
- 强调了可扩展人工智能采用的新出现的挑战.
结论:
- 政策制定对于加强人工智能在药物和生物产品开发中的整合至关重要.
- 监管机构,行业和学术界之间的合作是必不可少的.
- 实现人工智能的全部潜力需要解决当前的挑战,并制定明确的准则.
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