Computational analysis of controlled drug release from porous polymeric carrier with the aid of Mass transfer and Artificial Intelligence modeling

Computational analysis of controlled drug release from porous polymeric carrier with the aid of Mass transfer and Artificial Intelligence modeling

Abstract Controlled release of a desired drug from porous polymeric biomaterials was analyzed via computational method. The method is based on simulation of mass transfer and utilization of artificial intelligence (AI). This study explores the efficacy of three regression models, i.e., Kernel Ridge...

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Bibliographic Details
Main Authors: Saad M Alshahrani, Hadil Faris Alotaibi, M. Yasmin Begum
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Controlled release
Pharmaceutics
Kernel Ridge regression (KRR)
Gaussian process regression (GPR)
Gradient boosting (GB)
Online Access:https://doi.org/10.1038/s41598-024-79749-6
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https://doi.org/10.1038/s41598-024-79749-6

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