Machine learning integrated with in vitro experiments for study of drug release from PLGA nanoparticles

Machine learning integrated with in vitro experiments for study of drug release from PLGA nanoparticles

Abstract This paper investigates delivery of encapsulated drug from poly lactic-co-glycolic micro-/nano-particles. Experimental data collected from about 50 papers are analyzed by machine learning algorithms including linear regression, principal component analysis, Gaussian process regression, and...

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Bibliographic Details
Main Authors: Yu Sun, Shuhuai Qin, Yingli Li, Naimul Hasan, Yan Vivian Li, Jiangguo Liu
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Drug delivery
Machine learning
Micro-particles (MPs)
Nanoparticles (NPs)
PLGA (poly lactic-co-glycolic acid)
Online Access:https://doi.org/10.1038/s41598-024-82728-6
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https://doi.org/10.1038/s41598-024-82728-6

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