Clinical Categorization Algorithm (CLICAL) and Machine Learning Approach (SRF-CLICAL) to Predict Clinical Benefit to Immunotherapy in Metastatic Melanoma Patients: Real-World Evidence from the Istituto Nazionale Tumori IRCCS Fondazione Pascale, Napoli, Italy.

MLA

Madonna, Gabriele, et al. “Clinical Categorization Algorithm (CLICAL) and Machine Learning Approach (SRF-CLICAL) to Predict Clinical Benefit to Immunotherapy in Metastatic Melanoma Patients: Real-World Evidence from the Istituto Nazionale Tumori IRCCS Fondazione Pascale, Napoli, Italy.” Cancers, vol. 13, no. 16, Aug. 2021. EBSCOhost, https://doi.org/10.3390/cancers13164164.

APA

Madonna, G., Masucci, G. V., Capone, M., Mallardo, D., Grimaldi, A. M., Simeone, E., Vanella, V., Festino, L., Palla, M., Scarpato, L., Tuffanelli, M., D’angelo, G., Villabona, L., Krakowski, I., Eriksson, H., Simao, F., Lewensohn, R., & Ascierto, P. A. (2021). Clinical Categorization Algorithm (CLICAL) and Machine Learning Approach (SRF-CLICAL) to Predict Clinical Benefit to Immunotherapy in Metastatic Melanoma Patients: Real-World Evidence from the Istituto Nazionale Tumori IRCCS Fondazione Pascale, Napoli, Italy. Cancers, 13(16). https://doi.org/10.3390/cancers13164164

Chicago

Madonna, Gabriele, Giuseppe V Masucci, Mariaelena Capone, Domenico Mallardo, Antonio Maria Grimaldi, Ester Simeone, Vito Vanella, et al. 2021. “Clinical Categorization Algorithm (CLICAL) and Machine Learning Approach (SRF-CLICAL) to Predict Clinical Benefit to Immunotherapy in Metastatic Melanoma Patients: Real-World Evidence from the Istituto Nazionale Tumori IRCCS Fondazione Pascale, Napoli, Italy.” Cancers 13 (16). doi:10.3390/cancers13164164.