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.

Gerussi, A., Scaravaglio, M., Cristoferi, L., Verda, D., Milani, C., De Bernardi, E., et al. (2022). Artificial intelligence for precision medicine in autoimmune liver disease. FRONTIERS IN IMMUNOLOGY, 13 [10.3389/fimmu.2022.966329].

Artificial intelligence for precision medicine in autoimmune liver disease

Gerussi, Alessio
Primo
;
Scaravaglio, Miki;Cristoferi, Laura;Milani, Chiara;De Bernardi, Elisabetta;Ippolito, Davide;Invernizzi, Pietro;Carbone, Marco
Ultimo
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.
Articolo in rivista - Review Essay
autoimmunity; deep learning; digital pathology; genomics; machine learning; population genetics; radiomics; whole-slide digital image analysis;
English
11-nov-2022
2022
13
966329
none
Gerussi, A., Scaravaglio, M., Cristoferi, L., Verda, D., Milani, C., De Bernardi, E., et al. (2022). Artificial intelligence for precision medicine in autoimmune liver disease. FRONTIERS IN IMMUNOLOGY, 13 [10.3389/fimmu.2022.966329].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/401143
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