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.

Frequency and Prognostic Significance of Abnormal Liver Function Tests in Patients With Cardiogenic Shock

2017 - THE AMERICAN JOURNAL OF CARDIOLOGY

JÃ¤ntti, Toni; TarvasmÃ¤ki, Tuukka; Harjola, Veli-Pekka; Parissis, John; Pulkki, Kari; Sionis, Alessandro; Silva-Cardoso, Jose; KÃ¸ber, Lars; Banaszewski, Marek; Spinar, Jindrich; Fuhrmann, Valentin; Tolonen, Jukka; Carubelli, Valentina; Disomma, Salvatore; Mebazaa, Alexandre; Lassus, Johan

Plasma cathepsin D levels: A novel tool to predict pediatric hepatic inflammation

2015 - THE AMERICAN JOURNAL OF GASTROENTEROLOGY

Walenbergh, Sm; Houben, T; Hendrikx, T; Jeurissen, Ml; van Gorp, Pj; Vreugdenhil, Ac; Adriaanse, Mp; Buurman, Wa; Hofker, Mh; Mosca, A; Lindsey, Pj; Alisi, A; Liccardo, D; Panera, N; Koek, Gh; Nobili, V; Shiri-Sverdlov, R.