S24-03 Thyroid hormones quantitative systems toxicology platform (TH QST platform) in rat and human for cross-species NGRA von Schaller, S., Balazki, P., Lesage, R., Melching-Kollmuss, S., Fabian, E., Riffle, B. Williamson, Stinchcombe, S.

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S15-03 PK-Sim as an open source simulation tool for human risk assessment of pharmaceuticals: an industry perspective von Schaller, S., Yang, H., Geci, R., Balazki, P., Kuepfer, L., Paini, A.

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S23-03 A qualified open-source framework for precision toxicology by integration of PBK with mechanism-based quantification of AOPs von Schaller, S., Paini, A., Balazki, P., Geci, R., Proenca, S., Kramer, N., Kuepfer, L., Yang, H.

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Predictions of bedaquiline central nervous system exposure in patients with tuberculosis meningitis using physiologically based pharmacokinetic modeling von Mehta, K.M., Balazki, P., Graaf, P.H. van der, Guo, T., Hasselt, J.G.C. van

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A Physiologically‐Based Quantitative Systems Pharmacology Model of the Incretin Hormones GLP‐1 and GIP and the DPP4 Inhibitor Sitagliptin von Balazki, Pavel, Schaller, Stephan, Eissing, Thomas, Lehr, Thorsten

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Evaluation of the drug‐drug interaction potential of treosulfan using a physiologically‐based pharmacokinetic modelling approach von Schaller, Stephan, Martins, Frederico S., Balazki, Pavel, Böhm, Sonja, Baumgart, Joachim, Hilger, Ralf A., Beelen, Dietrich W., Hemmelmann, Claudia, Ring, Arne

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Predictions of Bedaquiline Central Nervous System Exposure in Patients with Tuberculosis Meningitis Using Physiologically based Pharmacokinetic Modeling von Mehta, Krina, Balazki, Pavel, van der Graaf, Piet H., Guo, Tingjie, van Hasselt, J. G. Coen

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A Quantitative Systems Pharmacology Kidney Model of Diabetes Associated Renal Hyperfiltration and the Effects of SGLT Inhibitors von Balazki, Pavel, Schaller, Stephan, Eissing, Thomas, Lehr, Thorsten

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Erratum to: MONALISA for stochastic simulations of Petri net models of biochemical systems von Balazki, Pavel, Lindauer, Klaus, Einloft, Jens, Ackermann, Jörg, Koch, Ina

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MONALISA for stochastic simulations of Petri net models of biochemical systems von Balazki, Pavel, Lindauer, Klaus, Einloft, Jens, Ackermann, Jörg, Koch, Ina

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Physiologically based pharmacokinetic model combined with reverse dose method to study the nephrotoxic tolerance dose of tacrolimus von Cai, Limin, Ke, Meng, Wang, Han, Wu, Wanhong, Lin, Rongfang, Huang, Pinfang, Lin, Cuihong

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Intestinal Excretion, Intestinal Recirculation, and Renal Tubule Reabsorption Are Underappreciated Mechanisms That Drive the Distribution and Pharmacokinetic Behavior of Small Mole... von Zhang, Donglu, Wei, Cong, Hop, Cornelis E. C. A., Wright, Matthew R., Hu, Ming, Lai, Yurong, Khojasteh, S. Cyrus, Humphreys, W. Griff

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Petri net-based prediction of therapeutic targets that recover abnormally phosphorylated proteins in muscle atrophy von Jung, Jinmyung, Kwon, Mijin, Bae, Sunghwa, Yim, Soorin, Lee, Doheon

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Mechanistic evaluation of the effect of sodium‐dependent glucose transporter 2 inhibitors on delayed glucose absorption in patients with type 2 diabetes mellitus using a quantitati... von Mori‐Anai, Kazumi, Tashima, Yoshihiko, Nakada, Tomohisa, Nakamaru, Yoshinobu, Takahata, Takayuki, Saito, Ryuta

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Reproducibility of Quantitative Systems Pharmacology Models: Current Challenges and Future Opportunities von Kirouac, Daniel C., Cicali, Brian, Schmidt, Stephan

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A graphical and computational modeling platform for biological pathways von Livigni, Alessandra, O'Hara, Laura, Polak, Marta E, Angus, Tim, Wright, Derek W, Smith, Lee B, Freeman, Tom C

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Effective Removal of Dabigatran by Idarucizumab or Hemodialysis: A Physiologically Based Pharmacokinetic Modeling Analysis von Fuhr, Laura Maria, Hanke, Nina, Meibohm, Bernd, Lehr, Thorsten

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A Quantitative Systems Pharmacology Model of the Incretin Hormones GIP and GLP1, Glucagon, Glucose, Insulin, and the Small Molecule DPP-4 Inhibitor, Linagliptin von Wu, Nan, An, Guohua

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Recent applications of quantitative systems pharmacology and machine learning models across diseases von Aghamiri, Sara Sadat, Amin, Rada, Helikar, Tomáš

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Complete populations of virtual patients for in silico clinical trials von Sinisi, S, Alimguzhin, V, Mancini, T, Tronci, E, Leeners, B

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