MDPI and ACS Style
Madonna, G.; Masucci, G.V.; Capone, M.; Mallardo, D.; Grimaldi, A.M.; Simeone, E.; Vanella, V.; Festino, L.; Palla, M.; Scarpato, L.;
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 2021, 13, 4164.
https://doi.org/10.3390/cancers13164164
AMA Style
Madonna G, Masucci GV, Capone M, Mallardo D, Grimaldi AM, Simeone E, Vanella V, Festino L, Palla M, Scarpato L,
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. 2021; 13(16):4164.
https://doi.org/10.3390/cancers13164164
Chicago/Turabian Style
Madonna, Gabriele, Giuseppe V. Masucci, Mariaelena Capone, Domenico Mallardo, Antonio Maria Grimaldi, Ester Simeone, Vito Vanella, Lucia Festino, Marco Palla, Luigi Scarpato,
and 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, no. 16: 4164.
https://doi.org/10.3390/cancers13164164
