18 results on '"Strikwold, Marije"'
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2. Inter-individual variation in chlorpyrifos toxicokinetics characterized by physiologically based kinetic (PBK) and Monte Carlo simulation comparing human liver microsome and Supersome™ cytochromes P450 (CYP)-specific kinetic data as model input
3. Integrating in vitro data and physiologically based kinetic modeling-facilitated reverse dosimetry to predict human cardiotoxicity of methadone
4. Integrating physiologically based kinetic (PBK) and Monte Carlo modelling to predict inter-individual and inter-ethnic variation in bioactivation and liver toxicity of lasiocarpine
5. Use of an in vitro–in silico testing strategy to predict inter-species and inter-ethnic human differences in liver toxicity of the pyrrolizidine alkaloids lasiocarpine and riddelliine
6. Selecting the dose metric in reverse dosimetry based QIVIVE: Reply to ‘Comment on ‘Use of an in vitro–in silico testing strategy to predict inter-species and inter-ethnic human differences in liver toxicity of the pyrrolizidine alkaloids lasiocarpine and riddelliine’ by Ning et al., Arch Toxicol doi: https://doi.org/10.1007/s00204-019-02397-7’, Arch Toxicol doi: https://doi.org/10.1007/s00204-019-02421-w
7. Integrating in vitro data and physiologically based kinetic (PBK) modelling to assess the in vivo potential developmental toxicity of a series of phenols
8. New approach methodologies (NAMs) for human-relevant biokinetics predictions
9. Combining in vitro embryotoxicity data with physiologically based kinetic (PBK) modelling to define in vivo dose–response curves for developmental toxicity of phenol in rat and human
10. Inter-individual variation in chlorpyrifos toxicokinetics characterized by physiologically based kinetic (PBK) and Monte Carlo simulation comparing human liver microsome and Supersome™ cytochromes P450 (CYP)-specific kinetic data as model input
11. New approach methodologies (NAMs) for human-relevant biokinetics predictions: Meeting the paradigm shift in toxicology towards an animal-free chemical risk assessment
12. New approach methodologies (NAMs) for human-relevant biokinetics predictions: Meeting the paradigm shift in toxicology towards an animal-free chemical risk assessment
13. Replacing animal experiments in developmental toxicity testing of phenols by combining in vitro assays with physiologically based kinetic (PBK) modelling
14. Development of a Combined In Vitro Physiologically Based Kinetic (PBK) and Monte Carlo Modelling Approach to Predict Interindividual Human Variation in Phenol-Induced Developmental Toxicity
15. Replacing animal experiments in developmental toxicity testing of phenols by combining in vitro assays with physiologically based kinetic (PBK) modelling
16. Integrating in vitro data and physiologically based kinetic (PBK) modelling to assess the in vivo potential developmental toxicity of a series of phenols
17. Selecting the dose metric in reverse dosimetry based QIVIVE: Reply to 'Comment on 'Use of an in vitro–in silico testing strategy to predict inter-species and inter-ethnic human differences in liver toxicity of the pyrrolizidine alkaloids lasiocarpine and riddelliine' by Ning et al., Arch Toxicol doi: https://doi.org/10.1007/s00204-019-02397-7', Arch Toxicol doi: https://doi.org/10.1007/s0020 4-019-02421-w
18. Relative embryotoxic potency of p-substituted phenols in the embryonic stem cell test (EST) and comparison to their toxic potency in vivo and in the whole embryo culture (WEC) assay
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