About
Multiple Sclerosis (MS) is a complex, chronic neurological condition that affects the central nervous system, primarily the brain and spinal cord. Characterized by immune-mediated attacks on the protective myelin sheath covering nerve fibers, MS disrupts communication between the brain and the body, leading to a wide range of physical, cognitive, and emotional symptoms. This multifaceted disease manifests differently in each individual, making its diagnosis and management a significant challenge for healthcare providers.
Advancements in research and treatment have transformed the landscape of MS care, offering hope to patients through improved diagnostic tools, disease-modifying therapies, and rehabilitative strategies. MS is at the forefront of neuroimmunology, driving innovations in understanding autoimmune processes and neuroprotection. Collaborative efforts across neurology, physiotherapy, and mental health disciplines are essential in empowering individuals living with MS to maintain quality of life and functional independence.
Why publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
Which articles are now trending?
Research Articles
- Modeling of an Electric-fired Brick Oven, Directly Heated
- Homologous Series of Chemical Compounds in Three-component Systems (Aa+ – Bb+ – Cc–) and (Zn2+ - Ge4+ - P3-) in Generalized Form
- The Influence of Dynamical Downscaling and Boundary Layer Selection on Egypt’s Potential Evapotranspiration using a Calibrated Version of the Hargreaves-samani Equation: RegCM4 Approach
- A Study to Determine the Reason for Lower Pregnancy Rates in Younger Women with Diminished Oocyte Reserve-less Chance of Implanting vs. Fetal Demise
- Maternal Knowledge and Practices in Caring for Children under Five with Pneumonia: A Cross-Sectional Study in Vietnam
- Deep Learning-based Multi-class Three-dimensional (3-D) Object Classification using Phase-only Digital Holographic Information
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