Computer modeling: prediction of the release curve of oral sustained-release tablets
10.16438/j.0513-4870.2023-1345
- VernacularTitle:计算机建模在口服缓控释片体外释放曲线预测中的应用
- Author:
Xiao CHEN
1
;
Hai-hua ZHENG
1
,
2
;
Xin-tong PAN
1
;
Bai XIANG
1
;
Zhen-hua PAN
1
;
Yun-jie DANG
1
Author Information
1. School of Pharmacy, Hebei Medical University, Shijiazhuang 050017, China
2. The Second Hospital of Hebei Medical University, Shijiazhuang 050000, China
- Publication Type:Research Article
- Keywords:
oral sustained-release tablet;
computer modeling;
italic>in vitro release curve;
mathematical modeling;
machine learning
- From:
Acta Pharmaceutica Sinica
2024;59(6):1593-1600
- CountryChina
- Language:Chinese
-
Abstract:
Sustained and controlled release preparation is ideal for reducing the side effects of drugs, improving patient compliance and enhancing efficacy, among which oral sustained-release tablets are the most widely used. The in vitro release of the preparation is closely related to the in vivo absorption of the drug. However, current in vitro release experiments are labor-intensive and destructive, and the lack of big data also makes it difficult to establish good in vivo and in vitro correlations. Computer modeling, as a technical means that can transform objective principles into mathematical models, has great prospects in data prediction. This review explores the existing computer modeling methods that can be used to predict in vitro release profiles of oral sustained-release tablets, and further discusses auxiliary technologies that can improve the accuracy of the models, providing new ideas for drug development.
