NASHmap: clinical utility of a machine learning model to identify patients at risk of NASH in real-world settings

por Schattenberg, Jörn M., Balp, Maria-Magdalena, Reinhart, Brenda, Tietz, Andreas, Regnier, Stephane A., Capkun, Gorana, Ye, Qin, Loeffler, Jürgen, Pedrosa, Marcos C., Docherty, Matt
Publicado 2023