人工智能 (AI) 在制药配方和剂量计算中
1Department of Pharmaceutical Sciences, School of Pharmacy, Philadelphia College of Osteopathic Medicine, Suwanee, GA 30024, USA.
Pharmaceutics
|November 27, 2025
概括
人工智能 (AI) 正在彻底改变制药科学,提高药物配方和剂量计算. 机器学习 (ML) 等人工智能技术提高了药物开发中的准确性,效率和个性化.
科学领域:
- 制药科学 制药科学
- 计算化学的计算化学
- 药物开发 药物开发
背景情况:
- 传统的制药科学在准确性,效率和个性化方面面临着挑战.
- 人工智能 (AI) 为这些挑战提供了创新的解决方案.
研究的目的:
- 为制药计算中人工智能应用提供全面概述.
- 探索AI在药物配方,剂量计算和个性化医疗中的作用.
主要方法:
- 审查当前的人工智能技术,包括机器学习 (ML),深度学习 (DL) 和自然语言处理 (NLP).
- 在预测药物特性,辅助剂优化,配方设计和PK/PD建模方面探索AI应用.
主要成果:
- 人工智能提高了药品计算的准确性,效率和个性化.
- 人工智能被应用于预测药物特性,优化辅料和设计配方.
- 人工智能有助于PK/PD建模,实时剂量调整和精确医学.
结论:
- 人工智能显著影响药品配方的自动化决策,质量控制和监管合规性.
- 新兴趋势包括人工智能辅助的3D打印和与可穿戴技术的集成,以实现个性化治疗.
- 人工智能对制药和个性化医学的未来具有变革性的潜力.
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