Chemometric and computational modeling of polysaccharide coated drugs for colonic drug delivery

Chemometric and computational modeling of polysaccharide coated drugs for colonic drug delivery

Abstract A methodology based on Principal Component Analysis (PCA) and machine learning (ML) regression was developed in this study for predicting 5-aminosalicylic acid drug release from polysaccharide-coated formulation. The Raman method was used for collection of spectral data which were then used...

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Bibliographic Details
Main Authors: Ahmad Khaleel AlOmari, Khaled Almansour
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Colonic drug delivery
Drug release
Machine learning
Raman spectra
Online Access:https://doi.org/10.1038/s41598-025-99823-x
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https://doi.org/10.1038/s41598-025-99823-x

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