人工智能支持的纳米医学:提高药物设计和制药领域的预测建模
Omnia M Sarhan1, Mostafa I Gebril2, Doaa Elsegaie3
1Department of Pharmaceutics and Pharmaceutical Technology, Faculty of Pharmacy, Badr University in Cairo, Cairo 11829, Egypt.
The Journal of pharmacy and pharmacology
|December 7, 2025
概括
人工智能 (AI) 和纳米医学的整合将彻底改变药物开发. 人工智能增强了纳米载体系统,用于准确的药理动力学预测,加速个性化治疗和减少实验工作量.
科学领域:
- 制药科学 制药科学
- 纳米技术纳米技术
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 和纳米医学的融合正在改变制药研究.
- 纳米载体系统如脂质体,聚合物纳米颗粒和树枝状体是先进药物输送的关键组成部分.
- 个性化治疗和可控药物释放是这种整合的主要受益者.
研究的目的:
- 审查人工智能驱动的方法与纳米载体系统的整合.
- 探索AI在提高药物动力学预测和剂量反应预测方面的作用.
- 识别挑战,并为人工智能支持的纳米医学开发提出解决方案.
主要方法:
- 利用高维数据集进行预测建模.
- 使用先进的AI技术,包括深度学习,强化学习和图形神经网络.
- 分析AI在药物输送纳米载体系统中的应用.
主要成果:
- 药物动力学预测和剂量反应预测的显著改善.
- 加快药物开发时间表,减少实验工作量.
- 提高了针对药物输送和个性化治疗的准确性.
结论:
- 支持人工智能的纳米医学为个性化药物开发提供了革命性的潜力.
- 挑战包括数据标准化,算法透明度和监管遵守.
- 跨学科的合作对于克服障碍和推进人工智能纳米医学至关重要.
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