Applications and prospects of machine learning in the diagnosis and treatment of SLE

Garantziotis P, Ainatzoglou A, Lapsiwala MB, Zoli A, Bertsias G (2026)

Publication Type: Journal article, Review article

Publication year: 2026

Journal

Rare Disease and Orphan Drugs Journal OAE Publishing Inc.

Book Volume: 5

Article Number: 12

Journal Issue: 2

DOI: 10.20517/rdodj.2025.37

Abstract

Systemic lupus erythematosus (SLE) remains a major clinical challenge due to its broad phenotypic variability, unpredictable disease trajectory, and inconsistent therapeutic responses. The limitations of conventional diagnostic and prognostic tools underscore the need for more precise, data-driven approaches to support clinical decision-making. Artificial intelligence-based methods, including machine learning (ML) have emerged as powerful technologies capable of analyzing complex, high-dimensional data to reveal hidden patterns and enhance disease understanding. These methods are particularly well-suited for tackling the multifactorial nature of SLE and have demonstrated utility in improving diagnostic accuracy, classifying disease subtypes, and guiding personalized treatment strategies. This review offers a clinician-oriented overview of foundational ML approaches and their practical applications in SLE, highlighting how these tools might be incorporated into clinical workflows to support more timely, accurate, and individualized care.

Authors with CRIS profile

Panagiotis Garantziotis Department of Medicine 3 – Rheumatology and Immunology Mehul Bhupendrabhai Lapsiwala Department of Medicine 3 – Rheumatology and Immunology Andrea Zoli Department of Medicine 3 – Rheumatology and Immunology

Involved external institutions

Attikon Hospital / Πανεπιστημιακού Γενικού Νοσοκομείου "Αττικόν"

Greece (GR) University of Crete / Πανεπιστήμιο Κρήτης

Greece (GR)

How to cite

APA:

Garantziotis, P., Ainatzoglou, A., Lapsiwala, M.B., Zoli, A., & Bertsias, G. (2026). Applications and prospects of machine learning in the diagnosis and treatment of SLE. Rare Disease and Orphan Drugs Journal , 5(2). https://doi.org/10.20517/rdodj.2025.37

MLA:

Garantziotis, Panagiotis, et al. "Applications and prospects of machine learning in the diagnosis and treatment of SLE." Rare Disease and Orphan Drugs Journal 5.2 (2026).

BibTeX: Download