Fuenzalida, K.; Leal-Witt, M.J.; Acevedo, A.; Muñoz, M.; Gudenschwager, C.; Arias, C.; Cabello, J.F.; La Marca, G.; Rizzo, C.; Pietrobattista, A.;
et al. Integrating Machine Learning and Follow-Up Variables to Improve Early Detection of Hepatocellular Carcinoma in Tyrosinemia Type 1: A Multicenter Study. Int. J. Mol. Sci. 2025, 26, 3839.
https://doi.org/10.3390/ijms26083839
AMA Style
Fuenzalida K, Leal-Witt MJ, Acevedo A, Muñoz M, Gudenschwager C, Arias C, Cabello JF, La Marca G, Rizzo C, Pietrobattista A,
et al. Integrating Machine Learning and Follow-Up Variables to Improve Early Detection of Hepatocellular Carcinoma in Tyrosinemia Type 1: A Multicenter Study. International Journal of Molecular Sciences. 2025; 26(8):3839.
https://doi.org/10.3390/ijms26083839
Chicago/Turabian Style
Fuenzalida, Karen, MarÃa Jesús Leal-Witt, Alejandro Acevedo, Manuel Muñoz, Camila Gudenschwager, Carolina Arias, Juan Francisco Cabello, Giancarlo La Marca, Cristiano Rizzo, Andrea Pietrobattista,
and et al. 2025. "Integrating Machine Learning and Follow-Up Variables to Improve Early Detection of Hepatocellular Carcinoma in Tyrosinemia Type 1: A Multicenter Study" International Journal of Molecular Sciences 26, no. 8: 3839.
https://doi.org/10.3390/ijms26083839
APA Style
Fuenzalida, K., Leal-Witt, M. J., Acevedo, A., Muñoz, M., Gudenschwager, C., Arias, C., Cabello, J. F., La Marca, G., Rizzo, C., Pietrobattista, A., Spada, M., Dionisi-Vici, C., & Cornejo, V.
(2025). Integrating Machine Learning and Follow-Up Variables to Improve Early Detection of Hepatocellular Carcinoma in Tyrosinemia Type 1: A Multicenter Study. International Journal of Molecular Sciences, 26(8), 3839.
https://doi.org/10.3390/ijms26083839