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Updated: Jun 25, 2026

Using Lipid Nanoparticles for the Delivery of Chemically Modified mRNA into Mammalian Cells
10:02

Using Lipid Nanoparticles for the Delivery of Chemically Modified mRNA into Mammalian Cells

Published on: June 10, 2022

2.1K

机器学习驱动的优化mRNA-脂质纳米粒子疫苗质量与XGBoost/贝叶斯方法和组合模型方法

Ravi Maharjan1, Ki Hyun Kim1,2, Kyeong Lee1

  • 1BK21 FOUR Team and Integrated Research Institute for Drug Development, College of Pharmacy, Dongguk University, Gyeonggi, 10326, Republic of Korea.

Journal of pharmaceutical analysis
|January 6, 2025
PubMed
概括

这项研究优化了使用机器学习的信使RNA-脂质纳米粒子 (mRNA-LNP) 生产. 自验证组合 (SVEM) 模型准确预测了最佳的脂质比率,以有效制造疫苗.

关键词:
贝叶斯优化是贝叶斯的优化.微流体装置是一种微流体装置.自验证组合模型的自我验证疫苗制造业 疫苗制造业在XGBoost上使用.

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