Beatrice Ramella Pollone on Muck Rack

Beatrice Ramella Pollone

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Articles

Explainable machine learning to predict immunotherapy outcomes in metastatic renal cell carcinoma - Meet-URO 15-AI study

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By Sara Elena Rebuzzi, Vanja Mišković, Giuseppe Fornarini, Sara Ferri, Sebastiano Buti, Alessio Signori, Leonardo Provenzano, Giuseppe Banna, Pasquale Rescigno, Marco Maruzzo, Davide Bimbatti, Umberto Basso, Ugo De Giorgi, Paolo Pedrazzoli, Luca Galli, Paolo Andrea Zucali, Fabrizio Di Costanzo, Aruni Ghose, Arsela Prelaj, Matteo Piceni, Beatrice Ramella Pollone
| Nature Verified
Abstract Metastatic renal cell carcinoma remains clinically challenging because of heterogeneous outcomes and limited predictive biomarkers for immunotherapy. We performed an explainable machine learning analysis using data from the multicenter retrospective Meet-URO 15 study, including 571 patients with metastatic renal cell carcinoma treated with second-line or later nivolumab.
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