在药物监管中编排生成性AI:预测和预防不可预测的情况
Darmendra Ramcharran1, Jeffery L Painter2, Vijay Kara3
1GSK, 1000 Winter Street, Waltham, MA 02451, USA University of Rhode Island, Kingston, RI, USA.
Therapeutic advances in drug safety
|December 23, 2025
概括
生成型人工智能 (GenAI) 为药物监测 (PV) 带来了新的机遇和挑战. 本综述探讨了GenAI在药物和疫苗安全方面的整合,并提出了负责任实施的框架.
科学领域:
- 药物监督和人工智能 药物监督和人工智能
背景情况:
- 生成型人工智能 (GenAI) 正迅速成为一种变革性的技术.
- 药物监管 (PV) 在药物和疫苗安全监测方面面临着不断变化的挑战.
- 将先进的人工智能集成到高风险的安全领域需要仔细考虑.
研究的目的:
- 审查新兴趋势和GenAI在药监中的实际应用.
- 研究GenAI在药物和疫苗安全方面的潜在好处和固有的风险.
- 为GenAI在光伏系统中的道德和有效整合提出一个框架.
主要方法:
- 这篇视角综述综合了当前的实验数据和早期的现实应用.
- 它分析了GenAI在药物监测中的采用概念框架.
- 该审查强调严格的测试,人类监督和道德考虑.
主要成果:
- 基因药物监管机构 (GenAI) 为加强药物监管过程提供了重大机会.
- 潜在的风险包括数据隐私,算法偏见和需要强有力的验证.
- 提出了一个结构化的框架,以指导GenAI在光伏领域的实施.
结论:
- 如果经过深思熟虑地实施,GenAI可以彻底改变药监.
- 成功的整合需要关注安全,道德和人类-人工智能合作.
- 这项工作支持光伏专业人员在药物安全领域不断发展的人工智能领域进行导航.
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