用NONMEM进行药量测量的ChatGPT和Gemini大语言模型:评论
Hinpetch Daungsupawong1, Viroj Wiwanitkit2
1Lao People's Democratic Republic, Phonhong, Laos. hinpetchdaung@gmail.com.
本信件评估了使用NONMEM进行药量测量的ChatGPT和Gemini大语言模型. 它还提出了关于它们在该领域的应用的额外担忧.
科学领域:
- 药量测量和计算科学 药量测量和计算科学
- 人工智能在药物开发中的作用
背景情况:
- 这项研究探讨了像ChatGPT和Gemini这样的大型语言模型 (LLM) 在药量分析中的新兴使用.
- 它特别关注它们在NONMEM (非线性混合效应建模) 软件环境中的应用,这是药物开发中的标准.
研究的目的:
- 评估ChatGPT和Gemini在药量分析中的表现.
- 确定与在药量学中使用这些LLM相关的潜在挑战和问题.
- 为考虑将LLM整合到药物开发工作流程中的研究人员提供见解.
主要方法:
- 对ChatGPT和Gemini模型的评估.
- 在使用NONMEM软件进行药量分析中的应用.
- 对模型输出和用户体验的定性评估.
主要成果:
- 关于ChatGPT和Gemini在药量测量方面的能力的初步发现.
- 确定LLM可能有益或有问题的特定领域.
- 讨论实施的实际考虑.
结论:
- 法律学士学位表现有前途,但需要在药理学中进行仔细的验证.
- 需要进一步的研究来解决这些问题并优化LLM的使用.
- 负责任地整合人工智能工具是推动药物开发的关键.
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