Machine Learning Approaches to Neuro-Immunological Disorders
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Biomedical Engineering".
Deadline for manuscript submissions: 30 August 2025 | Viewed by 83
Special Issue Editors
Interests: pharmacology; neurosciences and neurology; psychiatry research; experimental medicine; drug toxicity; pharmacogenetics; phytotherapy
Interests: multiple sclerosis; neuro-immunology; cognitive dysfunction; neurological diseases
Special Issue Information
Dear Colleagues,
This Special Issue will explore the application of machine learning (ML) in understanding, diagnosing, and treating neuro-immunological disorders. It seeks to highlight innovative ML approaches that enhance our understanding of diseases where the immune system and nervous system interact, such as multiple sclerosis and autoimmune encephalitis. This Special Issue will focus on promoting interdisciplinary collaboration to develop personalized, data-driven solutions and improve patient outcomes.
The Special Issue will cover topics including the following:
1. Machine Learning Techniques
- Use of deep learning, predictive models, and neuroimaging analysis in neuro-immunology;
- Natural Language Processing (NLP) for data extraction and analysis.
2. Neuro-Immunological Disorders
- Applications in diseases such as multiple sclerosis, autoimmune encephalitis, and neuroinflammatory conditions.
3. Data Integration and Multi-Modal Analysis
- Combining genomic, clinical, and imaging data through ML to uncover new disease insights.
4. Clinical Applications
- ML for early diagnosis, personalized treatment, and clinical decision support.
5. Challenges and Future Directions
- Addressing ethical concerns, model interpretability, and the adoption of ML in clinical settings.
6. Case Studies
- Successful ML applications in real-world clinical settings and ongoing research.
Dr. Hristina Zlatanova
Dr. Georgi Slavov
Dr. Pavel Balabanov
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 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
- machine learning
- neuro-immunology
- predictive models
- personalized medicine
- data integration
- clinical applications
- ethical challenges
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
