Marija Kekic1, Oleg Stepanov2, Wenjuan Wang3

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

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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