The Prediction of the In Vitro Release Curves for PLGA-Based Drug Delivery Systems with Neural Networks

The Prediction of the In Vitro Release Curves for PLGA-Based Drug Delivery Systems with Neural Networks

<b>Background/Objectives:</b> The accurate prediction of drug release profiles from Poly (lactic-co-glycolic acid) (PLGA)-based drug delivery systems is a critical challenge in pharmaceutical research. Traditional methods, such as the Korsmeyer-Peppas and Weibull models, have been widely...

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Bibliographic Details
Main Authors: Zheng Zhang, Bolun Zhang, Ren Chen, Qian Zhang, Kangjun Wang
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Pharmaceutics
Subjects:
PLGA carriers
neural networks
data-driven modeling
drug release prediction
in vitro release curves
Online Access:https://www.mdpi.com/1999-4923/17/4/513
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