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Updated: Feb 6, 2026

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Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites
Published on: June 24, 2019
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集団薬物動態モデリングにおける共変量選択のための確率的ゲート
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
まとめ
本研究では、集団薬物動態(PPK)モデリングにおける効率的な共変量選択のためのニューラルネットワークと確率的ゲートを用いた機械学習アプローチを紹介します。この手法は、この重要なステップを自動化し、創薬における時間と精度を節約します。
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