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Updated: Sep 12, 2025

Microfluidic Production of Lysolipid-Containing Temperature-Sensitive Liposomes
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计算机器学习估计在不同温度下使用组合方法在超临界溶剂中的数字毒素溶解度

Hadil Faris Alotaibi1, Waqed H Hassan2,3, Ahmed Kateb Jumaah Al-Nussairi4

  • 1Department of Pharmaceutical Sciences, College of Pharmacy, Princess Nourah Bint AbdulRahman University, 11671, Riyadh, Saudi Arabia. Hfalotaibi@pnu.edu.sa.

Scientific reports
|August 10, 2025
PubMed
概括

这项研究使用集体机器学习模拟了在超临界二氧化碳 (CO2) 中的数字毒素溶解度. AdaBoost-GPR模型准确地预测了溶解度和溶剂密度,突出了计算方法的力量.

关键词:
药物颗粒中的药物颗粒.机器学习 机器学习制药过程 制药过程可溶性 可溶性 溶性超临界的二氧化碳二氧化碳

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