在药物和生物产品发现和开发中利用AI/ML:监管视角
Fahimeh Mirakhori1, Sarfaraz K Niazi2
1College of Natural and Mathematics Sciences, University of Maryland, Baltimore County (UMBC), USG, Rockville, MD 20850, USA.
Pharmaceuticals (Basel, Switzerland)
|January 25, 2025
概括
人工智能 (AI) 在药物开发中提供了变革性的潜力,但需要强大的监管框架. 这篇评论考察了AI.
科学领域:
- 制药科学 制药科学
- 药物开发 药物开发
- 监管科学 监管科学
背景情况:
- 人工智能 (AI) 在制药科学,药物开发,临床试验和制造业中带来了重大机遇和挑战.
- 人工智能的快速发展暴露了监管差距,目前的政策正在努力应对新出现的技术挑战.
- 越来越多的人认为,需要加强人工监督,并为医疗保健中人工智能制定实际监管指南.
研究的目的:
- 对AI在药物和生物产品开发中的当前监管环境进行调查.
- 讨论对人工智能的监管监管的承诺,挑战和实际反思.
- 为制药行业合法和道德的人工智能开辟前进道路.
主要方法:
- 对人工智能监管格局进行全面,多学科的审查.
- 从FDA研讨会对药物和生物产品开发中的AI的观点摘要.
- 对人工智能实施的挑战,局限性和采用的做法进行分析.
主要成果:
- 现有的公共政策不足以跟上AI快速发展的步伐.
- 对于人工智能治理,有必要制定协调的框架,实践指南和有效的政策.
- 基于风险的监管监管对于确保安全,可扩展性,数据隐私,透明度和公平待遇至关重要.
结论:
- 负责任的数据驱动人工智能具有巨大的前景,但需要仔细管理风险.
- 解决监管差距和观点分歧对于达成关于人工智能监督的共识至关重要.
- 未来的机遇在于为制药创新建立合法的和道德的人工智能框架.
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