Contribution of machine learning to tumor growth inhibition modeling for hepatocellular carcinoma patients under Roblitinib (FGF401) drug treatment

• Hoofdauteurs: Mélanie Wilbaux (Auteur), David Demanse (Auteur), Yi Gu (Auteur), Astrid Jullion (Auteur), Andrea Myers (Auteur), Vasiliki Katsanou (Auteur), Christophe Meille (Auteur)
• Formaat: Boek
• Gepubliceerd in: Wiley, 2022-08-01T00:00:00Z.
• Onderwerpen: article
• Online toegang: Connect to this object online.

Abstract Machine learning (ML) opens new perspectives in identifying predictive factors of efficacy among a large number of patients' characteristics in oncology studies. The objective of this work was to combine ML with population pharmacokinetic/pharmacodynamic (PK/PD) modeling of tumor growt...