走向制药工业5.0:人工智能对药物发现和开发的影响
Achuth Jayakrishnan1, Hiu Ching Phang2, Vinie Xian Ying Tan2
1Department of Microbiology, Hindusthan College of Arts and Science, Coimbatore, 641028, Tamil Nadu, India.
Current pharmaceutical biotechnology
|November 4, 2025
概括
人工智能 (AI) 正在通过加速药物发现和个性化治疗来在工业5.0中彻底改变制药行业. 虽然人工智能提供了显著的进步,但数据质量和协作方面的挑战仍然是完全整合.
科学领域:
- 制药科学 制药科学
- 计算生物学 计算生物学
- 人工智能的人工智能
背景情况:
- 制药行业正经历着由工业5.0驱动的重大转型.
- 人工智能 (AI) 技术的整合是药物发现和开发的核心.
研究的目的:
- 审查AI在制药管道的各个阶段的当前应用.
- 突出人工智能的潜力,重新定义药物发现和开发.
- 讨论与将人工智能整合到制药工作流程中的挑战.
主要方法:
- 关于制药行业AI应用的当前文献的综述.
- 探索AI在药物发现,配方,药理动力学,制造和药物监测中的作用.
- 分析包括数据质量,监管障碍和跨学科合作在内的挑战.
主要成果:
- 机器学习和深度学习等人工智能技术加速了新药候选药物的识别,并优化了临床试验设计.
- 人工智能模型提高了药物疗效,毒性和患者反应的预测,降低了临床试验失败率.
- 人工智能应用包括药物发现,配方,药物动力学,制造,质量控制,监管合规和药物监管.
结论:
- 人工智能准备重新定义制药研发,开启精准医学时代.
- 成功整合人工智能有望在全球范围内改变患者的治疗结果.
- 解决数据质量,监管和协作方面的挑战对于实现人工智能在工业5.0中的全部潜力至关重要.
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