Search Results - Lu, En-Hsuan

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  1. 1
    Advancing probabilistic risk assessment by integrating human biomonitoring, new approach methods, and Bayesian modeling: A case study with the mycotoxin deoxynivalenol

    Advancing probabilistic risk assessment by integrating human biomonitoring, new approach methods, and Bayesian modeling: A case study with the mycotoxin deoxynivalenol by Lu, En-Hsuan, Grimm, Fabian A., Rusyn, Ivan, De Saeger, Sarah, De Boevre, Marthe, Chiu, Weihsueh A.

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  2. 2
    Incorporating new approach methods (NAMs) data in dose-response assessments: The future is now

    Incorporating new approach methods (NAMs) data in dose-response assessments: The future is now by Lu, En-Hsuan, Rusyn, Ivan, Chiu, Weihsueh A.

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  3. 3
    Two-Stage Machine Learning-Based Approach to Predict Points of Departure for Human Noncancer and Developmental/Reproductive Effects

    Two-Stage Machine Learning-Based Approach to Predict Points of Departure for Human Noncancer and Developmental/Reproductive Effects by Kvasnicka, Jacob, Aurisano, Nicolò, von Borries, Kerstin, Lu, En-Hsuan, Fantke, Peter, Jolliet, Olivier, Wright, Fred A., Chiu, Weihsueh A.

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  4. 4
    Systematic probabilistic risk assessment of pesticide residues in tea leaves

    Systematic probabilistic risk assessment of pesticide residues in tea leaves by Lu, En-Hsuan, Huang, Shao-Zu, Yu, Ting-Hung, Chiang, Su-Yin, Wu, Kuen-Yuh

    Published in Chemosphere (Oxford)
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  5. 5
    Evaluating scientific confidence in the concordance of in vitro and in vivo protective points of departure

    Evaluating scientific confidence in the concordance of in vitro and in vivo protective points of departure by Lu, En-Hsuan, Ford, Lucie C., Chen, Zunwei, Burnett, Sarah D., Rusyn, Ivan, Chiu, Weihsueh A.

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  6. 6
    Two-Stage Machine Learning-Based Approach to Predict Points of Departure for Human Non-cancer and Developmental/Reproductive Effects

    Two-Stage Machine Learning-Based Approach to Predict Points of Departure for Human Non-cancer and Developmental/Reproductive Effects by Kvasnicka, Jacob, Aurisano, Nicolò, von Borries, Kerstin, Lu, En-Hsuan, Fantke, Peter, Jolliet, Olivier, Wright, Fred A., Chiu, Weihsueh A.

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  7. 7
    Reducing uncertainty in dose-response assessments by incorporating Bayesian benchmark dose modeling and in vitro data on population variability

    Reducing uncertainty in dose-response assessments by incorporating Bayesian benchmark dose modeling and in vitro data on population variability by Lu, En-Hsuan, Ford, Lucie C, Rusyn, Ivan, Chiu, Weihsueh A

    Published in Risk analysis
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