Advancing Care in Neuroimmunology: The Role of Digital Tools in Multiple Sclerosis and Related Disorders
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 6
Special Issue Editor
Interests: multiple sclerosis; digital health; mechanism of action of immunomodulation; autonomic nervous system
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue will explore the rapidly evolving landscape of digital tools in the management, monitoring, and personalized treatment of Multiple Sclerosis (MS) and other neuroimmunological diseases, such as neuromyelitis optica spectrum disorder (NMOSD) and autoimmune encephalitides. The integration of digital technologies, ranging from mobile health (mHealth) applications, wearable sensors, and telemedicine platforms to artificial intelligence (AI)-based diagnostic support and digital biomarkers, holds transformative potential for clinical care and research. We invite original research articles, reviews, and case reports that focus on the development, validation, and implementation of digital solutions across the neuroimmunological spectrum. Key topics include real-world monitoring of symptoms and disease activity, digital phenotyping, remote patient engagement, hybrid care models, and ethical or regulatory challenges in digital health. By bringing together interdisciplinary perspectives from neurology, bioengineering, data science, and patient-centered care, this Special Issue will offer a comprehensive overview of how digital tools can enhance outcomes and quality of life for individuals living with chronic neuroimmunological diseases. The Special Issue welcomes both clinical and technical contributions and seeks to foster dialogue between developers, clinicians, and researchers dedicated to the future of neuroimmunological healthcare.
Prof. Dr. Tjalf Ziemssen
Guest Editor
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Keywords
- multiple sclerosis (MS)
- neuromyelitis optica spectrum disorders (NMOSD)
- autoimmune encephalitides
- neuroimmunological diseases
- mobile health (mHealth) applications
- wearable sensors
- telemedicine
- artificial intelligence (AI)-based diagnostic support
- digital biomarkers
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