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Real-world data to build explainable trustworthy artificial intelligence models for prediction of immunotherapy efficacy in NSCLC patients.
Prelaj A, Galli EG, Miskovic V, Pesenti M, Viscardi G, Pedica B, Mazzeo L, Bottiglieri A, Provenzano L, Spagnoletti A, Marinacci R, De Toma A, Proto C, Ferrara R, Brambilla M, Occhipinti M, Manglaviti S, Galli G, Signorelli D, Giani C, Beninato T, Pircher CC, Rametta A, Kosta S, Zanitti M, Di Mauro MR, Rinaldi A, Di Gregorio S, Antonia M, Garassino MC, de Braud FGM, Restelli M, Lo Russo G, Ganzinelli M, Trovò F, Pedrocchi ALG. Prelaj A, et al. Among authors: galli eg. Front Oncol. 2023 Jan 23;12:1078822. doi: 10.3389/fonc.2022.1078822. eCollection 2022. Front Oncol. 2023. PMID: 36755856 Free PMC article.
Machine Learning Using Real-World and Translational Data to Improve Treatment Selection for NSCLC Patients Treated with Immunotherapy.
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 EG, Ganzinelli M, Sozzi G, de Braud FGM, Garassino MC, Restelli M, Pedrocchi ALG, Trovo' F. Prelaj A, et al. Among authors: galli eg. Cancers (Basel). 2022 Jan 16;14(2):435. doi: 10.3390/cancers14020435. Cancers (Basel). 2022. PMID: 35053597 Free PMC article.