APA (7th ed.) Citation

Fu, J., Qiao, G., Ma, K., Jia, J., Li, H., Bai, Z., . . . Sun, J. (2026). Unraveling the adverse outcome pathways of metabolic dysfunction-associated steatotic liver disease triggered by environmental mixtures via biological knowledge-driven machine learning. Journal of Hazardous Materials, 514, N.PAG. https://doi.org/10.1016/j.jhazmat.2026.142869

Chicago Style (17th ed.) Citation

Fu, Jiaming, et al. "Unraveling the Adverse Outcome Pathways of Metabolic Dysfunction-associated Steatotic Liver Disease Triggered by Environmental Mixtures via Biological Knowledge-driven Machine Learning." Journal of Hazardous Materials 514 (2026): N.PAG. https://doi.org/10.1016/j.jhazmat.2026.142869.

MLA (9th ed.) Citation

Fu, Jiaming, et al. "Unraveling the Adverse Outcome Pathways of Metabolic Dysfunction-associated Steatotic Liver Disease Triggered by Environmental Mixtures via Biological Knowledge-driven Machine Learning." Journal of Hazardous Materials, vol. 514, 2026, p. N.PAG, https://doi.org/10.1016/j.jhazmat.2026.142869.