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Artificial intelligence for precision medicine in autoimmune liver disease

Authors :
Gerussi, A
Scaravaglio, M
Cristoferi, L
Verda, D
Milani, C
De Bernardi, E
Ippolito, D
Asselta, R
Invernizzi, P
Kather, J
Carbone, M
Gerussi, Alessio
Scaravaglio, Miki
Cristoferi, Laura
Verda, Damiano
Milani, Chiara
De Bernardi, Elisabetta
Ippolito, Davide
Asselta, Rosanna
Invernizzi, Pietro
Kather, Jakob Nikolas
Carbone, Marco
Gerussi, A
Scaravaglio, M
Cristoferi, L
Verda, D
Milani, C
De Bernardi, E
Ippolito, D
Asselta, R
Invernizzi, P
Kather, J
Carbone, M
Gerussi, Alessio
Scaravaglio, Miki
Cristoferi, Laura
Verda, Damiano
Milani, Chiara
De Bernardi, Elisabetta
Ippolito, Davide
Asselta, Rosanna
Invernizzi, Pietro
Kather, Jakob Nikolas
Carbone, Marco
Publication Year :
2022

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.

Details

Database :
OAIster
Notes :
ELETTRONICO, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1376720463
Document Type :
Electronic Resource