Article Versions Notes

Deodato F, Macchia G, Duhanxhiu P, Mammini F, Cavallini L, Ntreta M, Zamfir AA, Buwenge M, Cellini F, Ciabatti S, et al. A Multicenter Machine Learning-Based Predictive Model of Acute Toxicity in Prostate Cancer Patients Undergoing Salvage Radiotherapy (ICAROS Study). Cancers. 2025; 17(13):2142. https://doi.org/10.3390/cancers17132142

Deodato, Francesco, Gabriella Macchia, Patrick Duhanxhiu, Filippo Mammini, Letizia Cavallini, Maria Ntreta, Arina Alexandra Zamfir, Milly Buwenge, Francesco Cellini, Selena Ciabatti, and et al. 2025. "A Multicenter Machine Learning-Based Predictive Model of Acute Toxicity in Prostate Cancer Patients Undergoing Salvage Radiotherapy (ICAROS Study)" Cancers 17, no. 13: 2142. https://doi.org/10.3390/cancers17132142

Deodato, F., Macchia, G., Duhanxhiu, P., Mammini, F., Cavallini, L., Ntreta, M., Zamfir, A. A., Buwenge, M., Cellini, F., Ciabatti, S., Bianchi, L., Schiavina, R., Brunocilla, E., D’Angelo, E., Morganti, A. G., & Cilla, S. (2025). A Multicenter Machine Learning-Based Predictive Model of Acute Toxicity in Prostate Cancer Patients Undergoing Salvage Radiotherapy (ICAROS Study). Cancers, 17(13), 2142. https://doi.org/10.3390/cancers17132142