Artificial intelligence for precision medicine in autoimmune liver disease.
autoimmunity
deep learning
digital pathology
genomics
machine learning
population genetics
radiomics
whole-slide digital image analysis
Journal
Frontiers in immunology
ISSN: 1664-3224
Titre abrégé: Front Immunol
Pays: Switzerland
ID NLM: 101560960
Informations de publication
Date de publication:
2022
2022
Historique:
received:
10
06
2022
accepted:
13
10
2022
entrez:
28
11
2022
pubmed:
29
11
2022
medline:
30
11
2022
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 36439097
doi: 10.3389/fimmu.2022.966329
pmc: PMC9691668
doi:
Types de publication
Journal Article
Review
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
966329Informations de copyright
Copyright © 2022 Gerussi, Scaravaglio, Cristoferi, Verda, Milani, De Bernardi, Ippolito, Asselta, Invernizzi, Kather and Carbone.
Déclaration de conflit d'intérêts
Author DV is employed by Rulex. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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