Machine learning for precision diagnostics of autoimmunity

Machine learning for precision diagnostics of autoimmunity

Abstract Early and accurate diagnosis is crucial to prevent disease development and define therapeutic strategies. Due to predominantly unspecific symptoms, diagnosis of autoimmune diseases (AID) is notoriously challenging. Clinical decision support systems (CDSS) are a promising method with the pot...

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Bibliographic Details
Main Authors: Jan Kruta, Raphael Carapito, Marten Trendelenburg, Thierry Martin, Marta Rizzi, Reinhard E. Voll, Andrea Cavalli, Eriberto Natali, Patrick Meier, Marc Stawiski, Johannes Mosbacher, Annette Mollet, Aurelia Santoro, Miriam Capri, Enrico Giampieri, Erik Schkommodau, Enkelejda Miho
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Multi-omics
Autoimmune
Machine learning
EHR
Diagnostics
Online Access:https://doi.org/10.1038/s41598-024-76093-7
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