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Updated: Jun 18, 2025

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
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A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM

Published on: August 18, 2023

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バイオ効果予測とナノ粒子の再設計の進歩のための解釈可能な因果系最適化フレームワーク

Xu Dong1, Xiangang Hu1, Fubo Yu1

  • 1Key Laboratory of Pollution Processes and Environmental Criteria (Ministry of Education), Carbon Neutrality Interdisciplinary Science Centre, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China.

Journal of the American Chemical Society
|August 1, 2024
PubMed
まとめ

この研究は,ナノマテリアルの安全性と有効性を改善するための解釈可能な因果系最適化 (ICSO) フレームワークを導入します. ICSOは,ナノ医療の応用において,炎症を軽減し,臓器の提供を向上させるため,ナノ粒子特性を最適化します.

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