Implementing partial least squares and machine learning regressive models for prediction of drug release in targeted drug delivery application

Implementing partial least squares and machine learning regressive models for prediction of drug release in targeted drug delivery application

Abstract A combined methodology was performed based on chemometrics and machine learning regressive models in estimation of polysaccharide-coated colonic drug delivery. The release of medication was measured using Raman spectroscopy and the data was used for estimation of drug delivery using machine...

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Bibliographic Details
Main Authors: Anupam Yadav, B. Jayaprakash, Laith Hussein Jasim, Mayank Kundlas, Maan Younis Anad, Ankur Srivastava, M. Janaki Ramudu, B. Bharathi, Prabhat Kumar Sahu
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Drug delivery
Machine learning
Linear regression
Multilayer perceptron
Theil-Sen regression
Online Access:https://doi.org/10.1038/s41598-025-06227-y
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https://doi.org/10.1038/s41598-025-06227-y

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