Pubblicazioni

Application of a Machine Learning Technology in the Definition of Metabolically Healthy and Unhealthy Status: A Retrospective Study of 2567 Subjects Suffering from Obesity with or without Metabolic Syndrome

2022 - NUTRIENTS

Masi, D.; Risi, R.; Biagi, F.; Vasquez Barahona, D.; Watanabe, M.; Zilich, R.; Gabrielli, G.; Santin, P.; Mariani, S.; Lubrano, C.; Gnessi, L.

Metabolic syndrome diagnosis and widespread high grade prostatic intraepithelial neoplasia significantly increase prostate cancer risk. Results from a multicenter biopsy study

2016 - BMC CANCER

Cicione, ANTONIO FRANCESCO MARIA; DE NUNZIO, Cosimo; Tubaro, Andrea; Cantiello, Francesco; Manno, Stefano; Oliveira, Carlos; Lima, Estevao; Damiano, Rocco