Quantitative Systems Pharmacology Model-Based Predictions of Clinical Endpoints to Optimize Warfarin and Rivaroxaban Anti-Thrombosis Therapy by Sonja Hartmann, Konstantinos Biliouris, Lawrence J. Lesko, Ulrike Nowak-Göttl, Mirjam N. Trame

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Application of a patient‐centered reverse translational systems‐based approach to understand mechanisms of an adverse drug reaction of immune checkpoint inhibitors by Sarah Kim, Gezim Lahu, Majid Vakilynejad, Theodoros G. Soldatos, David B. Jackson, Lawrence J. Lesko, Mirjam N. Trame

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A case study of a patient‐centered reverse translational systems‐based approach to understand adverse event profiles in drug development by Sarah Kim, Gezim Lahu, Majid Vakilynejad, Theodoros G. Soldatos, David B. Jackson, Lawrence J. Lesko, Mirjam N. Trame

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Nonlinear Mixed‐Effects Model Development and Simulation Using nlmixr and Related R Open‐Source Packages by Matthew Fidler, Justin J. Wilkins, Richard Hooijmaijers, Teun M. Post, Rik Schoemaker, Mirjam N. Trame, Yuan Xiong, Wenping Wang

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Performance of the SAEM and FOCEI Algorithms in the Open‐Source, Nonlinear Mixed Effect Modeling Tool nlmixr by Rik Schoemaker, Matthew Fidler, Christian Laveille, Justin J. Wilkins, Richard Hooijmaijers, Teun M. Post, Mirjam N. Trame, Yuan Xiong, Wenping Wang

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Semi-Mechanistic Pharmacokinetic Model to Guide the Dose Selection of Nimotuzumab in Patients with Autosomal Dominant Polycystic Kidney Disease by Niurys de Castro-Suárez, Mirjam N. Trame, Mayra Ramos-Suzarte, José M. Dávalos, Raymed A. Bacallao-Mendez, Anaelys R. Maceo-Sinabele, Víctor Mangas-Sanjuán, Gledys Reynaldo-Fernández, Leyanis Rodríguez-Vera

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