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March 17, 2026Current Pharmaceutical Design0 citations

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

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JHJeong Seon HwangPPPanalee PomseethongJKJin-Chul Kim

Key Points

  • The research aims to predict and classify the stability of liposomes using machine learning techniques.
  • Evaluated liposome stability under varying concentrations of ethanol and Tergitol surfactants.
  • Utilized machine learning algorithms for classification and prediction of liposomal release.
  • Assessed potential applications in pharmaceutical and cosmetic formulations.
  • Developed models show effective classification of liposome stability.
  • Machine learning accurately predicts liposomal behavior with surfactants and ethanol.

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.

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Cite This Study

Hwang et al. (2026) studied this question.

synapsesocial.com/papers/69b8f10fdeb47d591b8c5da1https://doi.org/10.2174/0113816128417743251204162353
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