Machine learning techniques for personalised medicine approaches in immune-mediated chronic inflammatory diseases: applications and challenges

J Peng, EC Jury, P Dönnes, C Ciurtin - Frontiers in pharmacology, 2021 - frontiersin.org
In the past decade, the emergence of machine learning (ML) applications has led to
significant advances towards implementation of personalised medicine approaches for …

Artificial intelligence-driven drug development against autoimmune diseases

P Moingeon - Trends in pharmacological sciences, 2023 - cell.com
Artificial intelligence (AI)-based predictive models are being used to foster a precision
medicine approach to treat complex chronic diseases such as autoimmune and …

Integrated bioinformatics and validation reveal potential biomarkers associated with progression of primary Sjögren's syndrome

N Li, L Li, M Wu, Y Li, J Yang, Y Wu, H Xu… - Frontiers in …, 2021 - frontiersin.org
Background Primary Sjögren's syndrome (pSS) is a chronic systemic autoimmune disease
of the exocrine glands characterized by specific pathological features. Previous studies have …

Diagnostic markers and potential therapeutic agents for Sjögren's syndrome screened through multiple machine learning and molecular docking

L Zhou, H Wang, H Zhang, F Wang… - Clinical and …, 2023 - academic.oup.com
Primary Sjögren's syndrome (pSS) is a chronic inflammatory autoimmune disease, which
mainly damages patients' exocrine glands. Sensitive early diagnostic indicators and …

Model-based computational precision medicine to develop combination therapies for autoimmune diseases

E Desvaux, A Aussy, S Hubert… - Expert Review of …, 2022 - Taylor & Francis
Introduction The complex pathophysiology of autoimmune diseases (AIDs) is being
progressively deciphered, providing evidence for a multiplicity of pro-inflammatory pathways …

Systemic autoimmune disease patients′ blood immunome reveals specificities and commonalities among different diagnostic entities

P Rybakowska, S Van Gassen, G Barturen… - bioRxiv, 2024 - biorxiv.org
Background: Systemic autoimmune diseases (SADs) are characterized by internal
heterogeneity, overlapping clinical symptoms, and shared molecular pathways. Therefore …

Introduction to Machine Learning in Medicine

R Buongiorno, C Caudai, S Colantonio… - Introduction to Artificial …, 2023 - Springer
Abstract Introduction of Machine Learning is certainly a revolutionary outbreak, both in the
medical field and in many other research fields. The opportunities ML opens up are many …

Artificial intelligence in rheumatology

J Peng, G Robinson, EC Jury, P Dönnes… - Artificial Intelligence in …, 2024 - Elsevier
Autoimmune rheumatic diseases are characterized by chronic inflammation driven by
abnormal immune responses reflected in a significant heterogeneity in clinical presentation …

Integrated Bioinformatics and Validation Reveal Potential Biomarkers Associated With Progression of Primary Sjögren's Syndrome

KA Koelsch, W Su, C Pericleous, Y Gao… - … , Novel targets and …, 2022 - books.google.com
Background: Primary SjögrenLs syndrome (pSS) is a chronic systemic autoimmune disease
of the exocrine glands characterized by specific pathological features. Previous studies have …

Functional mass cytometry for reclassification and precise diagnosis of systemic autoimmune diseases

P Rybakowska - 2021 - digibug.ugr.es
Systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), systemic sclerosis (SSC),
Sjögren's syndrome (SJS), mixed connective tissue disease (MCTD) and primary …