Article Versions Notes

Porciello G, Di Lauro T, Luongo A, Coluccia S, Prete M, Abbadessa L, Coppola E, Di Martino A, Mozzillo AL, Racca E, et al. Optimizing Nutritional Care with Machine Learning: Identifying Sarcopenia Risk Through Body Composition Parameters in Cancer Patients—Insights from the NUTritional and Sarcopenia RIsk SCREENing Project (NUTRISCREEN). Nutrients. 2025; 17(8):1376. https://doi.org/10.3390/nu17081376

Porciello, Giuseppe, Teresa Di Lauro, Assunta Luongo, Sergio Coluccia, Melania Prete, Ludovica Abbadessa, Elisabetta Coppola, Annabella Di Martino, Anna Licia Mozzillo, Emanuela Racca, and et al. 2025. "Optimizing Nutritional Care with Machine Learning: Identifying Sarcopenia Risk Through Body Composition Parameters in Cancer Patients—Insights from the NUTritional and Sarcopenia RIsk SCREENing Project (NUTRISCREEN)" Nutrients 17, no. 8: 1376. https://doi.org/10.3390/nu17081376

Porciello, G., Di Lauro, T., Luongo, A., Coluccia, S., Prete, M., Abbadessa, L., Coppola, E., Di Martino, A., Mozzillo, A. L., Racca, E., Piccirillo, A., Di Giacomo, V., Fontana, M., D’Amico, M., Palumbo, E., Vitale, S., D’Errico, D., Turrà, V., Parascandolo, I., ... Pignata, S. (2025). Optimizing Nutritional Care with Machine Learning: Identifying Sarcopenia Risk Through Body Composition Parameters in Cancer Patients—Insights from the NUTritional and Sarcopenia RIsk SCREENing Project (NUTRISCREEN). Nutrients, 17(8), 1376. https://doi.org/10.3390/nu17081376