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Machine learning-driven optimization of mRNA-lipid nanoparticle vaccine quality with XGBoost/Bayesian method and ensemble model approaches

Ravi Maharjan Ki Hyun Kim Kyeong Lee Hyo-Kyung Han Seong Hoon Jeong

药物分析学报（英文）2024，Vol.14Issue(11)：1645-1660,16.
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药物分析学报（英文）2024，Vol.14Issue(11)：1645-1660,16.DOI:10.1016/j.jpha.2024.100996

Machine learning-driven optimization of mRNA-lipid nanoparticle vaccine quality with XGBoost/Bayesian method and ensemble model approaches

Machine learning-driven optimization of mRNA-lipid nanoparticle vaccine quality with XGBoost/Bayesian method and ensemble model approaches

Ravi Maharjan 1Ki Hyun Kim 2Kyeong Lee 1Hyo-Kyung Han 1Seong Hoon Jeong1

作者信息

  • 1. BK21 FOUR Team and Integrated Research Institute for Drug Development,College of Pharmacy,Dongguk University,Gyeonggi,10326,Republic of Korea
  • 2. BK21 FOUR Team and Integrated Research Institute for Drug Development,College of Pharmacy,Dongguk University,Gyeonggi,10326,Republic of Korea||College of Pharmacy,Mokpo National University,Jeonnam,58554,Republic of Korea
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摘要

关键词

Vaccine manufacturing/Microfluidic device/XGBoost/Bayesian optimization/Self-validated ensemble model

Key words

Vaccine manufacturing/Microfluidic device/XGBoost/Bayesian optimization/Self-validated ensemble model

引用本文复制引用

Ravi Maharjan,Ki Hyun Kim,Kyeong Lee,Hyo-Kyung Han,Seong Hoon Jeong..Machine learning-driven optimization of mRNA-lipid nanoparticle vaccine quality with XGBoost/Bayesian method and ensemble model approaches[J].药物分析学报（英文）,2024,14(11):1645-1660,16.

基金项目

This work was partially supported by the Advance Production of Vaccine Raw Materials(Grant Nos.:20022404 and 20018168)funded by the Ministry of Trade,Industry & Energy(MOTIE,Korea).This work was also partially supported by the National Research Foundation of Korea(NRF)grant funded by the Korean government(MSIT)(Grant No.:NRF-2018R1A5A2023127)and Dongguk Uni-versity Research Fund of 2023(Grant No.:S-2023-G0001-00099). （Grant Nos.:20022404 and 20018168）

药物分析学报（英文）

2095-1779

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