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Updated: Jan 9, 2026

A Package of Established Analytical Tools to Investigate the Solid-State Alteration of Lipid-Based Excipients
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通过调整压力和温度来分析口服固体剂制剂溶解度变化的机器学习分析

Ahmed A Lahiq1, Abdullah A Alshehri2, Shaker T Alsharif3

  • 1Department of Pharmaceutics, College of Pharmacy, Najran University, Najran, 66262, Saudi Arabia. aalahiq@nu.edu.sa.

Scientific reports
|December 10, 2025
PubMed
概括

这项研究使用机器学习模型准确预测了托尔芬胺酸溶解度和超临界二氧化碳 (SC-CO2) 密度. 通过黑猩猩优化算法 (ChOA) 优化的ADA-GPR模型显示了这两种属性的优异预测性能.

关键词:
药物溶解性 药物溶解性 药物溶解性斯过程是高斯过程.线性回归是一种线性回归.机器学习 机器学习支持矢量回归的支持矢量回归

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