AUTHOR=Gerussi Alessio , Scaravaglio Miki , Cristoferi Laura , Verda Damiano , Milani Chiara , De Bernardi Elisabetta , Ippolito Davide , Asselta Rosanna , Invernizzi Pietro , Kather Jakob Nikolas , Carbone Marco TITLE=Artificial intelligence for precision medicine in autoimmune liver disease JOURNAL=Frontiers in Immunology VOLUME=13 YEAR=2022 URL=https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2022.966329 DOI=10.3389/fimmu.2022.966329 ISSN=1664-3224 ABSTRACT=

Autoimmune liver diseases (AiLDs) are rare autoimmune conditions of the liver and the biliary tree with unknown etiology and limited treatment options. AiLDs are inherently characterized by a high degree of complexity, which poses great challenges in understanding their etiopathogenesis, developing novel biomarkers and risk-stratification tools, and, eventually, generating new drugs. Artificial intelligence (AI) is considered one of the best candidates to support researchers and clinicians in making sense of biological complexity. In this review, we offer a primer on AI and machine learning for clinicians, and discuss recent available literature on its applications in medicine and more specifically how it can help to tackle major unmet needs in AiLDs.