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Artificial intelligence for precision medicine in autoimmune liver disease
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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9691668/ https://www.ncbi.nlm.nih.gov/pubmed/36439097 http://dx.doi.org/10.3389/fimmu.2022.966329 |
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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 |
author_facet | Gerussi, Alessio Scaravaglio, Miki Cristoferi, Laura Verda, Damiano Milani, Chiara De Bernardi, Elisabetta Ippolito, Davide Asselta, Rosanna Invernizzi, Pietro Kather, Jakob Nikolas Carbone, Marco |
author_sort | Gerussi, Alessio |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9691668 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96916682022-11-26 Artificial intelligence for precision medicine in autoimmune liver disease Gerussi, Alessio Scaravaglio, Miki Cristoferi, Laura Verda, Damiano Milani, Chiara De Bernardi, Elisabetta Ippolito, Davide Asselta, Rosanna Invernizzi, Pietro Kather, Jakob Nikolas Carbone, Marco Front Immunol Immunology 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. Frontiers Media S.A. 2022-11-11 /pmc/articles/PMC9691668/ /pubmed/36439097 http://dx.doi.org/10.3389/fimmu.2022.966329 Text en Copyright © 2022 Gerussi, Scaravaglio, Cristoferi, Verda, Milani, De Bernardi, Ippolito, Asselta, Invernizzi, Kather and Carbone https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Gerussi, Alessio Scaravaglio, Miki Cristoferi, Laura Verda, Damiano Milani, Chiara De Bernardi, Elisabetta Ippolito, Davide Asselta, Rosanna Invernizzi, Pietro Kather, Jakob Nikolas Carbone, Marco Artificial intelligence for precision medicine in autoimmune liver disease |
title | Artificial intelligence for precision medicine in autoimmune liver disease |
title_full | Artificial intelligence for precision medicine in autoimmune liver disease |
title_fullStr | Artificial intelligence for precision medicine in autoimmune liver disease |
title_full_unstemmed | Artificial intelligence for precision medicine in autoimmune liver disease |
title_short | Artificial intelligence for precision medicine in autoimmune liver disease |
title_sort | artificial intelligence for precision medicine in autoimmune liver disease |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9691668/ https://www.ncbi.nlm.nih.gov/pubmed/36439097 http://dx.doi.org/10.3389/fimmu.2022.966329 |
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