Prediction and Classification of Liposomal Release and Stability Using Machine Learning Based on Ethanol and Tergitol 15-S Surfactants

This study evaluated the stability of liposomes under various concentrations of ethanol and Tergitol surfactants and classified them using machine learning algorithms. The developed models can be effectively applied to formulation design in liposome-based systems, including pharmaceutical and cosmetic applications.

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Publication Details

Journal
Current Pharmaceutical Design
Published
2026-03-11
DOI
https://doi.org/10.2174/0113816128417743251204162353
Primary Topic
Advancements in Transdermal Drug Delivery
Type
article
Field-Weighted Citation Impact
0.00
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article

Prediction and Classification of Liposomal Release and Stability Using Machine Learning Based on Ethanol and Tergitol 15-S Surfactants

Panalee Pomseethong, Jeong Seon Hwang, Jin-Chul Kim
Current Pharmaceutical Design
Advancements in Transdermal Drug Delivery
article

Prediction and Classification of Liposomal Release and Stability Using Machine Learning Based on Ethanol and Tergitol 15-S Surfactants

Panalee Pomseethong, Jeong Seon Hwang, Jin-Chul Kim
article en

Abstract

This study evaluated the stability of liposomes under various concentrations of ethanol and Tergitol surfactants and classified them using machine learning algorithms. The developed models can be effectively applied to formulation design in liposome-based systems, including pharmaceutical and cosmetic applications.

Current Pharmaceutical DesignVol. 32
Kangwon National University (KR)
Openalex Percentile: Top 20%
Advancements in Transdermal Drug Delivery
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