httk-package | R Documentation |
John Wambaugh, Robert Pearce, Caroline Ring, Gregory Honda, Nisha Sipes, Jimena Davis, Barbara Wetmore, Woodrow Setzer, Mark Sfeir
PowerPoint Presentation: High-Throughput Toxicokinetics (HTTK) R package
doi: 10.1080/17425255.2021.1935867Breen et al. (2021): High-throughput PBTK models for in vitro to in vivo extrapolation
doi: 10.18637/jss.v079.i04Pearce et al. (2017): httk: R Package for High-Throughput Toxicokinetics
doi: 10.1021/es501955gArmitage et al. (2014): Application of mass balance models and the chemical activity concept to facilitate the use of in vitro toxicity data for risk assessment
doi: 10.1093/toxsci/kfv171Incorporating High-Throughput Exposure Predictions with Dosimetry-Adjusted In Vitro Bioactivity to Inform Chemical Toxicity Testing
doi: 10.1093/toxsci/kfv118Wambaugh et al. (2015): Toxicokinetic Triage for Environmental Chemicals
doi: 10.1007/s10928-017-9548-7Pearce et al. (2017): Evaluation and calibration of high-throughput predictions of chemical distribution to tissues
doi: 10.1016/j.envint.2017.06.004Ring et al. (2017): Identifying populations sensitive to environmental chemicals by simulating toxicokinetic variability
doi: 10.1021/acs.est.7b00650Sipes et al. (2017): An Intuitive Approach for Predicting Potential Human Health Risk with the Tox21 10k Library
doi: 10.1093/toxsci/kfy020Wambaugh et al. (2018): Evaluating In Vitro-In Vivo Extrapolation of Toxicokinetics
doi: 10.1371/journal.pone.0217564Honda et al. (2019): Using the concordance of in vitro and in vivo data to evaluate extrapolation assumptions
doi: 10.1093/toxsci/kfz205Wambaugh et al. (2019): Assessing Toxicokinetic Uncertainty and Variability in Risk Prioritization
doi: 10.1038/s41370-020-0238-yLinakis et al. (2020): Development and evaluation of a high-throughput inhalation model for organic chemicals
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