通过计算机显示器黑暗地:人工智能在吸收,分布,新陈代谢和分泌科学科学
Dennis A Smith1, Lucy Melanie Burton1, Sophie Amanda Smith1
1Independent Researcher.
Xenobiotica; the fate of foreign compounds in biological systems
|December 14, 2023
概括
人工智能 (AI) 正在改变ADME科学,不是通过更好的建模,而是通过彻底改变文献评论. 这种转变对教育和研究产生了影响,并有可能使ADME数据中的现有缺陷永久化.
科学领域:
- 药理动力学和药物新陈代谢
- 科学研究中的人工智能
背景情况:
- 人工智能 (AI) 开始影响吸收,分布,新陈代谢和分泌 (ADME) 科学.
- 目前的人工智能影响主要在于文献合成,而不是高级预测建模.
- 现有的ADME文献包含缺陷,例如蛋白质结合对未结合药物度的影响,人工智能可能无意中传播.
研究的目的:
- 分析人工智能对ADME科学目前和潜在的影响.
- 突出人工智能正在意想不到的方式影响该领域,特别是文学研究.
- 讨论人工智能对ADME教育和科学进步的影响.
主要方法:
- 在科学文献研究中对人工智能应用的审查.
- 分析AI在合成现有科学信息中的作用.
- 检查AI对ADME数据质量和解释的潜在影响.
主要成果:
- 人工智能擅长总结现有科学文献,影响了ADME信息的获取和使用方式.
- 目前,由于数据限制,ADME中的AI的预测建模能力有限.
- 如果不仔细指导,人工智能可能会无意中放大科学文献中现有的缺陷.
- 人工智能还在促进技术技能发展和药监处理.
结论:
- 人工智能对ADME科学的主要影响是通过文献审查,改变研究和教育范式.
- 缺乏大型标准化的ADME数据集,阻碍了AI在预测建模中的应用.
- 未来的人工智能应用可能会专注于丰富ADME数据库.
- 需要仔细指导,以确保人工智能对ADME领域的好处而不是伤害.
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