制药研发中的生成人工智能:从大型语言模型到人工智能代理,再到监管
James Weatherall1, Chris Meier2,
1AstraZeneca, Macclesfield, UK.
Drug discovery today
|January 10, 2026
概括
生成型人工智能 (GenAI) 正在改变制药研究和开发,影响从疾病研究到分子设计的领域. 这一分析为GenAI提供了一个行业的视角.
科学领域:
- 制药研究和开发 制药研发
- 数据科学数据科学数据科学
- 人工智能的人工智能
背景情况:
- 生成性人工智能 (GenAI) 正在快速发展,在制药研发领域提供了巨大的潜力.
- 应用范围包括科学洞察力生成,疾病研究,分子设计和临床文档起草.
- DISRUPT-DS圆桌会议由主要制药公司的数据科学领导者组成,分析了GenAI在研发中的作用.
研究的目的:
- 为整个行业提供关于制药研发中生成人工智能的当前状态和未来演变的全方位视角.
- 确定DISRUPT-DS圆桌会议对GenAI应用程序的分析中的关键发现.
- 讨论与监管相关的领域和药物发现人工智能的新兴话题.
主要方法:
- 数据科学领导者对制药研发中的生成人工智能应用进行分析.
- 讨论与监管相关的领域,包括文件起草和统计编程.
- 探索新兴的人工智能主题,如人工智能代理和基础模型.
主要成果:
- 基因人工智能正在重塑制药研发的各个方面,包括科学洞察力生成和分子设计.
- 与监管相关的应用程序,如GenAI驱动的文档起草和统计编程是重点领域.
- 像人工智能代理和基础模型这样的新兴话题代表了GenAI在行业中的未来方向.
结论:
- 生成性人工智能是一种具有变革性的技术,在医药研发领域具有广泛的应用.
- 该行业正在积极探索和实施GenAI,重点关注当前能力和未来潜力.
- 对于制药公司来说,了解GenAI不断变化的格局至关重要,以充分发挥其潜力.
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