大型语言模型及其在药物发现和开发中的应用:一本小册子
James Lu1, Keunwoo Choi2, Maksim Eremeev2
1Clinical Pharmacology, Genentech Inc., South San Francisco, California, USA.
Clinical and translational science
|April 10, 2025
概括
大型语言模型 (LLM) 在临床药理学和翻译医学中提供了强大的应用,增强了科学家的药物发现,开发和研究工作流程.
科学领域:
- 药理学 药理学是指药理学的学科.
- 翻译医学是一种翻译医学.
- 人工智能的人工智能
背景情况:
- 大型语言模型 (LLM) 在科学领域越来越有影响力.
- 它们在临床药理学和翻译医学等专业领域的潜力是显著的,但需要集中探索.
- 了解LLM的能力对于推动药物发现和开发至关重要.
研究的目的:
- 提供关于LLM在临床药理学和翻译医学中的应用的全面介绍.
- 阐明支持这些科学学科相关的LLM的基本概念.
- 引导研究人员利用LLM来加强研究和开发工作.
主要方法:
- 探索法学士的基本概念.
- 审查药物发现和开发管道中的潜在应用.
- 识别医疗写作和定量分析中的实际用例.
主要成果:
- 法律法规可以促进目标识别和帮助临床前研究.
- 在临床试验分析和定量临床药理学工作流程中,LLM有助于.
- LLM 支持医疗写作任务,加速分析过程.
结论:
- 在临床药理学和翻译医学方面,LLM具有变革性的潜力.
- 研究人员可以利用LLM来优化药物发现和开发的各个阶段.
- 清楚地了解LLM使科学家能够加强他们的研发工作.
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