PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
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

View Full Paper
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.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Hwang et al. (2026) studied this question.

synapsesocial.com/papers/69b8f10fdeb47d591b8c5da1https://doi.org/10.2174/0113816128417743251204162353
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Leveraging ensemble machine learning models (XGBoost and random forest) and genetic algorithms to predict factors contributing to the liposomal entrapment of therapeutics2025 · 4 citations
  2. 2Machine learning predicts lipid emulsion stability in parenteral nutrition using multi-laboratory literature data2025
  3. 3Ethosome-Based Colloidal Systems for Transdermal Delivery: The Role of Biosurfactant in Enhancing Stability and Efficacy2025 · 6 citations
  4. 4Leveraging machine learning to streamline the development of liposomal drug delivery systems2024 · 3 citations
  5. 5A machine learning workflow to accelerate the design of in vitro release tests from liposomes2025 · 4 citations