人工智能在药物开发中的作用
Kang Zhang1,2, Xin Yang3, Yifei Wang3
1Eye Hospital and Institute for Advanced Study on Eye Health and Diseases, Institute for clinical Data Science, Wenzhou Medical University, Wenzhou, China. kang.zhang@gmail.com.
人工智能 (AI) 正通过提高效率和有效性来改变药物开发. 这篇概述详细介绍了从目标识别到市场后监测的AI应用,解决当前的挑战和未来的研究.
科学领域:
- 药理学和制药科学 药理学和制药科学
- 计算生物学和生物信息学
- 人工智能在医学中的应用
背景情况:
- 传统药物开发是漫长的,昂贵的,并且严重依赖于经验方法.
- 新兴的人工智能 (AI) 技术,包括大语言模型 (LLM) 和生成AI,提供了变革性的潜力.
- 人工智能整合已经在提高药物开发效率和有效性.
研究的目的:
- 提供对药物开发中近期人工智能进展的全面概述.
- 检查整个药物开发管道的AI应用.
- 确定人工智能增强药物开发的挑战和未来研究方向.
主要方法:
- 关于人工智能在药物开发中的应用的最新文献的审查.
- 在关键阶段对AI整合的分析:目标识别,药物发现,临床前研究,临床试验和市场后监测.
- 批判性地检查当前的挑战和未来的研究机会.
主要成果:
- 人工智能显示出在药物发现和开发中提高效率和有效性的巨大潜力.
- 人工智能应用涵盖了整个工作流程,从最初的目标识别到市场后监测.
- 人工智能集成已经观察到微妙但有意义的改进.
结论:
- 人工智能,特别是LLM和生成AI,正在彻底改变药物开发模式.
- 应对当前的挑战对于释放AI在制药创新的全部潜力至关重要.
- 未来的研究应该专注于进一步整合和优化人工智能工具,以加速和改进药物开发.
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