Dalfovo, D.; Sassorossi, C.; De Paolis, E.; Campanella, A.; Nachira, D.; Ciavarella, L.P.; Boldrini, L.; Troost, E.G.C.; Ádány, R.; Farré, N.;
et al. LANTERN-XGB: An Interpretable Multi-Modal Machine Learning for Improving Clinical Decision-Making in Lung Cancer. Int. J. Mol. Sci. 2026, 27, 3128.
https://doi.org/10.3390/ijms27073128
AMA Style
Dalfovo D, Sassorossi C, De Paolis E, Campanella A, Nachira D, Ciavarella LP, Boldrini L, Troost EGC, Ádány R, Farré N,
et al. LANTERN-XGB: An Interpretable Multi-Modal Machine Learning for Improving Clinical Decision-Making in Lung Cancer. International Journal of Molecular Sciences. 2026; 27(7):3128.
https://doi.org/10.3390/ijms27073128
Chicago/Turabian Style
Dalfovo, Davide, Carolina Sassorossi, Elisa De Paolis, Annalisa Campanella, Dania Nachira, Leonardo Petracca Ciavarella, Luca Boldrini, Esther G. C. Troost, Róza Ádány, Núria Farré,
and et al. 2026. "LANTERN-XGB: An Interpretable Multi-Modal Machine Learning for Improving Clinical Decision-Making in Lung Cancer" International Journal of Molecular Sciences 27, no. 7: 3128.
https://doi.org/10.3390/ijms27073128
APA Style
Dalfovo, D., Sassorossi, C., De Paolis, E., Campanella, A., Nachira, D., Ciavarella, L. P., Boldrini, L., Troost, E. G. C., Ádány, R., Farré, N., Öztürk, E., Minucci, A., Trisolini, R., Bria, E., Löck, S., Margaritora, S., & Lococo, F.
(2026). LANTERN-XGB: An Interpretable Multi-Modal Machine Learning for Improving Clinical Decision-Making in Lung Cancer. International Journal of Molecular Sciences, 27(7), 3128.
https://doi.org/10.3390/ijms27073128
