Non-invasive diagnosis of non-alcoholic steatohepatitis and fibrosis with the use of omics and supervised learning: a proof of concept study

This study aimed to train models for the non-invasive diagnosis of NASH and liver fibrosis based on measurements of lipids, glycans and biochemical parameters in peripheral blood and with the use of different machine learning methods.

Source: Metabolism - Clinical and Experimental - November 7, 2019 Category: Biomedical Science Authors: Nikolaos Perakakis, Stergios A. Polyzos, Alireza Yazdani, Aleix Sala-Vila, Jannis Kountouras, Athanasios D. Anastasilakis, Christos S. Mantzoros Source Type: research