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
- 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
- Efficacy of Different Concentrations of Insect Growth Regulators (IGRs) on Maize Stem Borer Infestation
- A New Modification of Classification of Traumatic Patients with Pelvic Fracture
- A Review inside Innovation: AI and Additive Manufacturing for Advanced Bone Scaffold Design
- Scientific Productivity of the Internet of Things (IoT) in 2011-2025: A Bibliometric Analysis
- Federated Learning- Hope and Scope
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