Artificial Intelligence in Autoimmune Diseases
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 5
Special Issue Editor
Interests: systemic lupus erythematosus; rheumatoid arthritis; sjogren syndrome; antiphospholipid syndrome; arthritis induced by immune checkpoint inhibitors
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of artificial intelligence (AI) in healthcare has led to transformative advancements that hold immense potential for the diagnosis, treatment, and management of autoimmune diseases. Autoimmune diseases, characterized by the immune system mistakenly attacking the body's own tissues, encompass a diverse range of conditions, including rheumatoid arthritis, lupus, and multiple sclerosis. The complex and multifactorial nature of these diseases presents significant challenges in understanding their etiology, predicting their course, and individualizing treatment options. AI technologies offer promising solutions by enabling the analysis of vast datasets, facilitating pattern recognition, and improving predictive analytics.
AI approaches, including machine learning and deep learning, have been applied to various aspects of autoimmune disease research and clinical practice. From biomarker discovery and patient stratification to treatment response prediction, AI-driven methodologies have the capacity to enhance our understanding of disease mechanisms and optimize therapeutic interventions. Machine learning algorithms can uncover hidden relationships within clinical data, while natural language processing can extract relevant information from the medical literature and clinical notes. Furthermore, AI can aid in the development of personalized medicine by enabling the identification of patient subgroups that respond differently to treatments, thereby facilitating tailored therapeutic strategies.
This Special Issue aims to bring together cutting-edge research and insights into the application of AI technologies in the diagnosis, treatment, and management of autoimmune diseases. We encourage the submission of contributions that encompass a wide range of topics, including, but not limited to, AI-driven diagnostic tools, predictive modeling for disease progression, personalized treatment approaches, and ethical considerations in the deployment of AI in clinical settings. Through this collaborative effort, we aim to foster knowledge exchange and innovation, advancing the developments in bioengineering in the context of autoimmune diseases.
Dr. Fulvia Ceccarelli
Guest Editor
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence
- autoimmune diseases
- machine learning
- personalized medicine
- predictive analytics
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