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在人口药理动力学建模中用于共变选择的随机门

Marija Kekic1, Oleg Stepanov2, Wenjuan Wang3

  • 1Predictive AI & Data, Clinical Pharmacology & Safety Sciences, R&D BioPharmaceuticals, AstraZeneca, Barcelona, Spain.

CPT: pharmacometrics & systems pharmacology
|February 4, 2026
PubMed
概括

本研究介绍了一种机器学习方法,使用带有随机门的神经网络,用于在人口药理动力学 (PPK) 建模中高效的共变体选择. 该方法自动化了这一关键步骤,节省了时间,提高了药物开发的准确性.

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