Prelaj, A.; Boeri, M.; Robuschi, A.; Ferrara, R.; Proto, C.; Lo Russo, G.; Galli, G.; De Toma, A.; Brambilla, M.; Occhipinti, M.;
et al. Machine Learning Using Real-World and Translational Data to Improve Treatment Selection for NSCLC Patients Treated with Immunotherapy. Cancers 2022, 14, 435.
https://doi.org/10.3390/cancers14020435
AMA Style
Prelaj A, Boeri M, Robuschi A, Ferrara R, Proto C, Lo Russo G, Galli G, De Toma A, Brambilla M, Occhipinti M,
et al. Machine Learning Using Real-World and Translational Data to Improve Treatment Selection for NSCLC Patients Treated with Immunotherapy. Cancers. 2022; 14(2):435.
https://doi.org/10.3390/cancers14020435
Chicago/Turabian Style
Prelaj, Arsela, Mattia Boeri, Alessandro Robuschi, Roberto Ferrara, Claudia Proto, Giuseppe Lo Russo, Giulia Galli, Alessandro De Toma, Marta Brambilla, Mario Occhipinti,
and et al. 2022. "Machine Learning Using Real-World and Translational Data to Improve Treatment Selection for NSCLC Patients Treated with Immunotherapy" Cancers 14, no. 2: 435.
https://doi.org/10.3390/cancers14020435
APA Style
Prelaj, A., Boeri, M., Robuschi, A., Ferrara, R., Proto, C., Lo Russo, G., Galli, G., De Toma, A., Brambilla, M., Occhipinti, M., Manglaviti, S., Beninato, T., Bottiglieri, A., Massa, G., Zattarin, E., Gallucci, R., Galli, E. G., Ganzinelli, M., Sozzi, G.,
... Trovo', F.
(2022). Machine Learning Using Real-World and Translational Data to Improve Treatment Selection for NSCLC Patients Treated with Immunotherapy. Cancers, 14(2), 435.
https://doi.org/10.3390/cancers14020435
