Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Autoimmune Disorders

Autoimmune Disorders

Autoimmune diseases are a group of disorders in which the body's immune system mistakenly attacks its own cells, tissues, and organs. This results from an overactive immune response against substances and tissues normally present in the body. Let's delve into the concept and mechanism of autoimmune diseases from an immune system point of view, explore different causes and examples of such diseases, and discuss potential solutions.
Concept and Mechanism of Autoimmune Diseases
The immune...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Combination Therapy with JAK Inhibitors and TNF Inhibitors in Severe Refractory Rheumatoid Arthritis: A Monocentric Case Series.

Joint bone spine·2026

Same author

Anifrolumab induces a fast improvement in ultrasound-detected synovitis in systemic lupus erythematosus: Results from a 6-months follow-up ultrasound study.

Lupus·2026

Same author

Ophthalmic involvement in VEXAS syndrome and its influence on mortality: insights from the international AIDA network registry.

Frontiers in immunology·2026

Same author

Mapping inequalities in rheumatology care in Europe: the first edition of the EULAR RheumaFacts project.

Annals of the rheumatic diseases·2026

Same author

Long-term remission and monocyclic course in Still's disease patients starting canakinumab early: data from the international AIDA network registry.

Seminars in arthritis and rheumatism·2026

Same author

Pathogenetic and clinical aspects of fibromyalgia: one year in review 2026.

Clinical and experimental rheumatology·2026

Search research articles

Related Experiment Video

Updated: Aug 7, 2025

The bm12 Inducible Model of Systemic Lupus Erythematosus SLE in C57BL/6 Mice

The bm12 Inducible Model of Systemic Lupus Erythematosus SLE in C57BL/6 Mice

Published on: November 1, 2015

Application of Machine Learning Models in Systemic Lupus Erythematosus.

Fulvia Ceccarelli¹, Francesco Natalucci¹, Licia Picciariello¹

¹Lupus Clinic, Rheumatology, Dipartimento di Scienze Cliniche Internistiche Anestesiologiche e Cardiovascolari, Sapienza Università di Roma, Viale del Policlinico 155, 00161 Rome, Italy.

International Journal of Molecular Sciences

|March 11, 2023

Summary

Machine learning models (MLMs) show promise for improving the diagnosis and treatment of Systemic Lupus Erythematosus (SLE), a complex autoimmune disease. These AI tools can aid in understanding disease patterns and patient outcomes.

Keywords:

Systemic Lupus Erythematosus artificial intelligence machine learning models

More Related Videos

Analyses of Proteinuria, Renal Infiltration of Leukocytes, and Renal Deposition of Proteins in Lupus-prone MRL/lpr Mice

Analyses of Proteinuria, Renal Infiltration of Leukocytes, and Renal Deposition of Proteins in Lupus-prone MRL/lpr Mice

Published on: June 8, 2022

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis

Published on: June 18, 2020

Related Experiment Videos

Last Updated: Aug 7, 2025

The bm12 Inducible Model of Systemic Lupus Erythematosus SLE in C57BL/6 Mice

The bm12 Inducible Model of Systemic Lupus Erythematosus SLE in C57BL/6 Mice

Published on: November 1, 2015

Analyses of Proteinuria, Renal Infiltration of Leukocytes, and Renal Deposition of Proteins in Lupus-prone MRL/lpr Mice

Analyses of Proteinuria, Renal Infiltration of Leukocytes, and Renal Deposition of Proteins in Lupus-prone MRL/lpr Mice

Published on: June 8, 2022

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis

Published on: June 18, 2020

Area of Science:

Immunology
Medical Informatics
Artificial Intelligence

Background:

Systemic Lupus Erythematosus (SLE) is a complex autoimmune disease with diverse clinical and immunological features.
Disease heterogeneity can lead to delayed diagnosis and treatment, impacting long-term patient outcomes.
Innovative tools like machine learning models (MLMs) offer potential solutions for managing SLE complexity.

Purpose of the Study:

To review the application of artificial intelligence (AI) and MLMs in Systemic Lupus Erythematosus (SLE) from a medical standpoint.
To summarize current research on MLMs in various SLE-related fields.
To assess the potential of MLMs in improving SLE patient care.

Main Methods:

Systematic review of published studies applying MLMs in large SLE cohorts.
Analysis of MLM applications across different domains including diagnosis, pathogenesis, manifestations, outcomes, and treatment.
Inclusion of studies focusing on specific SLE aspects like pregnancy and quality of life.

Main Results:

Numerous studies have successfully applied MLMs to large SLE patient cohorts.
MLMs demonstrate good performance in areas such as diagnosis, pathogenesis, Lupus Nephritis, and treatment prediction.
Research also explores MLMs for unique SLE challenges, including pregnancy and quality of life.

Conclusions:

MLMs show significant potential for application in the clinical management of SLE.
AI-driven models can assist in addressing the diagnostic and therapeutic complexities of SLE.
Further development and implementation of MLMs could enhance patient outcomes in SLE.