UNASSIGNED: Detailed analysis of the literature from 2010 to 2021 was performed on Pubmed in order to build \"NANOSE\" database. Regression analyses have been applied to exploit machine-learning technology.
UNASSIGNED: A total of 64 research articles were considered for building the NANOSE database (102 formulations). Particle-based formulations were characterized by an average size between 150-200 nm and presented a negative zeta potential (ZP) from -10 to -25 mV. The most general-purpose model for the regression of DTP/DTE values is represented by Decision Tree regression, followed by K-Nearest Neighbors Regressor (KNeighbor regression).
UNASSIGNED: A literature review revealed that nose-to-brain delivery has been widely investigated in neurodegenerative diseases. Correlation studies between the physicochemical properties of nanosystems (mean size and ZP) and DTE/DTP parameters suggest that ZP may be more significant than particle size for DTP/DTE predictability.
■在Pubmed上对2010年至2021年的文献进行了详细分析,以建立“NANOSE”数据库。回归分析已应用于利用机器学习技术。
■总共64篇研究文章被考虑用于构建NANOSE数据库(102种配方)。基于颗粒的制剂的特征在于平均尺寸在150-200nm之间并且呈现-10至-25mV的负ζ电位(ZP)。DTP/DTE值回归的最通用模型由决策树回归表示,其次是K-最近邻回归(Kneighbor回归)。
■文献综述显示,鼻-脑传递在神经退行性疾病中得到了广泛的研究。纳米系统的物理化学性质(平均尺寸和ZP)与DTE/DTP参数之间的相关性研究表明,对于DTP/DTE可预测性,ZP可能比粒径更重要。