从实证探索到数据驱动的创新:人工智能在制药品味道掩饰中的作用
Chun Qiao1, Jinru Hu1, Yuxin Jin2
1Innovation Research Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, No. 1200, Cai-Lun Road, Pudong District, Shanghai 201203, China; Engineering Research Center of Modern Preparation Technology of Traditional Chinese Medicine of Ministry of Education, Shanghai University of Traditional Chinese Medicine, No. 1200, Cai-Lun Road, Pudong District, Shanghai 201203, China.
概括
味道掩盖技术通过解决苦药配方来提高药物的可接受性. 人工智能 (AI) 为口味预测,辅助剂选择和个性化药物递送系统提供先进的解决方案.
科学领域:
- 制药科学 制药科学
- 药物运输 药物运输 药物运输
- 计算化学的计算化学
背景情况:
- 口服药物的厌恶味道,特别是苦味,显著阻碍了患者的遵守.
- 味道掩盖技术对于提高口服药物的可口性和接受性至关重要.
- 传统方法正在向智能,系统和精确的解决方案发展.
研究的目的:
- 审查制药配方的口味掩饰技术的演变.
- 探索人工智能 (AI) 在味道评估和配方优化中的整合.
- 讨论人工智能驱动的系统,用于精确的掩护和个性化药物输送.
主要方法:
- 批判性地检查历史上的口味掩饰方法.
- 阐明口味感知和可变性的分子和生理基础.
- 传统的传感/分析技术与新兴的数字和生物传感平台的比较.
- 强调人工智能集成用于味道评估,战略开发和流程控制.
主要成果:
- 人工智能在味道预测,助剂选择和配方优化方面提供了新的机会.
- 新兴的数字和生物传感平台为传统技术提供了先进的替代方案.
- 由人工智能驱动的系统显示出精密掩饰,受控释放和患者特定的可口性潜力.
结论:
- 人工智能集成正在改变制药开发中的口味掩饰策略.
- 下一代品味优化需要一个框架,以实现智能,高效和个性化的药物递送.
- 智能味道系统为改善患者遵守和治疗结果铺平了道路.
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