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Updated: Jul 10, 2025

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
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个性化他类药物治疗计划使用反事实方法,多目标优化利益和风险

Yue Liang1,2, Pui Ying Yew1,2, Matt Loth1,3,2

  • 1Institute for Health Informatics, University of Minnesota, Minneapolis, MN, 55455, USA.

Informatics in medicine unlocked
|November 21, 2023
PubMed
概括

这项研究增强了个性化他类药物治疗计划 (PSTP),以最大限度地降低患者的风险和最大限度地提高患者的益处. 改进的PSTP框架减少了与他类药物相关的症状和治疗中止,改善了心血管健康结果.

关键词:
临床试验模拟的临床试验模拟反事实性的预测预测.概括的重叠重量是一般的重量.概括的倾向得分一般化倾向得分.史塔丁类药物是一种达丁类药物相关的症状

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