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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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-02-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-82728-6 |
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| author | Yu Sun Shuhuai Qin Yingli Li Naimul Hasan Yan Vivian Li Jiangguo Liu |
| author_facet | Yu Sun Shuhuai Qin Yingli Li Naimul Hasan Yan Vivian Li Jiangguo Liu |
| author_sort | Yu Sun |
| collection | DOAJ |
| description | 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 artificial neural networks. The focus is to understand the effect of drug solubility, drug molecular weight, particle size, and pH-value of the release matrix/environment on drug release profiles. The results obtained from machine learning is then used as guidelines for designing new in vitro experiments to examine dependence of drug release profiles on those four factors. It is interesting to see that indeed the results of the new in vitro experiments are in basic agreement with the results obtained from machine learning. |
| format | Article |
| id | doaj-art-4b7fcfc7276a4e1f8177e37726c26cd2 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-4b7fcfc7276a4e1f8177e37726c26cd22025-02-09T12:32:28ZengNature PortfolioScientific Reports2045-23222025-02-0115111210.1038/s41598-024-82728-6Machine learning integrated with in vitro experiments for study of drug release from PLGA nanoparticlesYu Sun0Shuhuai Qin1Yingli Li2Naimul Hasan3Yan Vivian Li4Jiangguo Liu5School of Materials Science and Engineering, Colorado State UniversityDepartment of Mathematics, Colorado State UniversityDepartment of Mathematics, Colorado State UniversityDepartment of Design and Merchandising, Colorado State UniversitySchool of Materials Science and Engineering, Colorado State UniversitySchool of Materials Science and Engineering, Colorado State UniversityAbstract 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 artificial neural networks. The focus is to understand the effect of drug solubility, drug molecular weight, particle size, and pH-value of the release matrix/environment on drug release profiles. The results obtained from machine learning is then used as guidelines for designing new in vitro experiments to examine dependence of drug release profiles on those four factors. It is interesting to see that indeed the results of the new in vitro experiments are in basic agreement with the results obtained from machine learning.https://doi.org/10.1038/s41598-024-82728-6Drug deliveryMachine learningMicro-particles (MPs)Nanoparticles (NPs)PLGA (poly lactic-co-glycolic acid) |
| spellingShingle | Yu Sun Shuhuai Qin Yingli Li Naimul Hasan Yan Vivian Li Jiangguo Liu Machine learning integrated with in vitro experiments for study of drug release from PLGA nanoparticles Scientific Reports Drug delivery Machine learning Micro-particles (MPs) Nanoparticles (NPs) PLGA (poly lactic-co-glycolic acid) |
| title | Machine learning integrated with in vitro experiments for study of drug release from PLGA nanoparticles |
| title_full | Machine learning integrated with in vitro experiments for study of drug release from PLGA nanoparticles |
| title_fullStr | Machine learning integrated with in vitro experiments for study of drug release from PLGA nanoparticles |
| title_full_unstemmed | Machine learning integrated with in vitro experiments for study of drug release from PLGA nanoparticles |
| title_short | Machine learning integrated with in vitro experiments for study of drug release from PLGA nanoparticles |
| title_sort | machine learning integrated with in vitro experiments for study of drug release from plga nanoparticles |
| topic | Drug delivery Machine learning Micro-particles (MPs) Nanoparticles (NPs) PLGA (poly lactic-co-glycolic acid) |
| url | https://doi.org/10.1038/s41598-024-82728-6 |
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