Frontiers in Immunology (Nov 2022)
Artificial intelligence for precision medicine in autoimmune liver disease
- Alessio Gerussi,
- Alessio Gerussi,
- Miki Scaravaglio,
- Miki Scaravaglio,
- Laura Cristoferi,
- Laura Cristoferi,
- Laura Cristoferi,
- Damiano Verda,
- Chiara Milani,
- Chiara Milani,
- Elisabetta De Bernardi,
- Davide Ippolito,
- Rosanna Asselta,
- Rosanna Asselta,
- Pietro Invernizzi,
- Pietro Invernizzi,
- Jakob Nikolas Kather,
- Jakob Nikolas Kather,
- Marco Carbone,
- Marco Carbone
Affiliations
- Alessio Gerussi
- Division of Gastroenterology, Center for Autoimmune Liver Diseases, Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
- Alessio Gerussi
- European Reference Network on Hepatological Diseases (ERN RARE-LIVER), San Gerardo Hospital, Monza, Italy
- Miki Scaravaglio
- Division of Gastroenterology, Center for Autoimmune Liver Diseases, Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
- Miki Scaravaglio
- European Reference Network on Hepatological Diseases (ERN RARE-LIVER), San Gerardo Hospital, Monza, Italy
- Laura Cristoferi
- Division of Gastroenterology, Center for Autoimmune Liver Diseases, Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
- Laura Cristoferi
- European Reference Network on Hepatological Diseases (ERN RARE-LIVER), San Gerardo Hospital, Monza, Italy
- Laura Cristoferi
- Bicocca Bioinformatics Biostatistics and Bioimaging Centre - B4, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
- Damiano Verda
- Rulex Inc., Newton, MA, United States
- Chiara Milani
- Division of Gastroenterology, Center for Autoimmune Liver Diseases, Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
- Chiara Milani
- European Reference Network on Hepatological Diseases (ERN RARE-LIVER), San Gerardo Hospital, Monza, Italy
- Elisabetta De Bernardi
- Department of Medicine and Surgery and Tecnomed Foundation, University of Milano - Bicocca, Monza, Italy
- Davide Ippolito
- Department of Radiology, San Gerardo Hospital, Monza, Italy
- Rosanna Asselta
- Humanitas Clinical and Research Center, Rozzano, Milan, Italy
- Rosanna Asselta
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Pietro Invernizzi
- Division of Gastroenterology, Center for Autoimmune Liver Diseases, Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
- Pietro Invernizzi
- European Reference Network on Hepatological Diseases (ERN RARE-LIVER), San Gerardo Hospital, Monza, Italy
- Jakob Nikolas Kather
- Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany
- Jakob Nikolas Kather
- 0Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany
- Marco Carbone
- Division of Gastroenterology, Center for Autoimmune Liver Diseases, Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
- Marco Carbone
- European Reference Network on Hepatological Diseases (ERN RARE-LIVER), San Gerardo Hospital, Monza, Italy
- DOI
- https://doi.org/10.3389/fimmu.2022.966329
- Journal volume & issue
-
Vol. 13
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.
Keywords
