Kaiser, A.-M.; Zare Jeddi, M.; Uhl, M.; Jornod, F.; Fernandez, M.F.; Audouze, K.
Characterization of Potential Adverse Outcome Pathways Related to Metabolic Outcomes and Exposure to Per- and Polyfluoroalkyl Substances Using Artificial Intelligence. Toxics 2022, 10, 449.
https://doi.org/10.3390/toxics10080449
AMA Style
Kaiser A-M, Zare Jeddi M, Uhl M, Jornod F, Fernandez MF, Audouze K.
Characterization of Potential Adverse Outcome Pathways Related to Metabolic Outcomes and Exposure to Per- and Polyfluoroalkyl Substances Using Artificial Intelligence. Toxics. 2022; 10(8):449.
https://doi.org/10.3390/toxics10080449
Chicago/Turabian Style
Kaiser, Andreas-Marius, Maryam Zare Jeddi, Maria Uhl, Florence Jornod, Mariana F. Fernandez, and Karine Audouze.
2022. "Characterization of Potential Adverse Outcome Pathways Related to Metabolic Outcomes and Exposure to Per- and Polyfluoroalkyl Substances Using Artificial Intelligence" Toxics 10, no. 8: 449.
https://doi.org/10.3390/toxics10080449
APA Style
Kaiser, A.-M., Zare Jeddi, M., Uhl, M., Jornod, F., Fernandez, M. F., & Audouze, K.
(2022). Characterization of Potential Adverse Outcome Pathways Related to Metabolic Outcomes and Exposure to Per- and Polyfluoroalkyl Substances Using Artificial Intelligence. Toxics, 10(8), 449.
https://doi.org/10.3390/toxics10080449