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

SIMPLE SUMMARY: Immune checkpoint inhibitors have improved the prognosis for patients with advanced melanoma. Despite the recent success of immunotherapy, many patients still do not benefit from these treatments, and their real-life application may yield different outcomes compared to the advantage...

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Detalles Bibliográficos
Autores principales: Madonna, Gabriele, Masucci, Giuseppe V., Capone, Mariaelena, Mallardo, Domenico, Grimaldi, Antonio Maria, Simeone, Ester, Vanella, Vito, Festino, Lucia, Palla, Marco, Scarpato, Luigi, Tuffanelli, Marilena, D’angelo, Grazia, Villabona, Lisa, Krakowski, Isabelle, Eriksson, Hanna, Simao, Felipe, Lewensohn, Rolf, Ascierto, Paolo Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8391717/
https://www.ncbi.nlm.nih.gov/pubmed/34439318
http://dx.doi.org/10.3390/cancers13164164

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8391717/
https://www.ncbi.nlm.nih.gov/pubmed/34439318
http://dx.doi.org/10.3390/cancers13164164

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