这篇文章综述了人工智能(AI)在药物开发领域的最新进展和未来方向,重点阐述了AI如何改革传统上耗时且昂贵的药物发现流程。它详细探讨了AI技术在药物开发流程的各个阶段的具体应用,包括目标识别、药物发现、临床前和临床研究以及上市后监测。文章指出,尽管AI,尤其是大型语言模型(LLMs)和生成式AI,显著提高了效率和效果,但数据质量、模型可解释性以及算法通用性等挑战仍然存在。此外,文章还探讨了AI在生物标记物发现、药物再利用以及临床试验优化方面的应用,并强调AI是增强而非完全取代人类能力的工具。References: Zhang K, Yang X, Wang Y, et al. Artificial intelligence in drug development[J]. Nature medicine, 2025, 31(1): 45-59.
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