Funded Studies

AI-Driven Neuroimaging for Differentiating MS from NMOSD and Monitoring Treatment Response in NMOSD

AI-Driven Prediction of MS Treatment Response in the UAE: A Genomics and Machine Learning Approach

HEAL MS: A Culturally Adapted Lifestyle Medicine Intervention Targeting Metabolic and Immune Dysregulation in Multiple Sclerosis Using Multi-Omics Profiling

Developing Precision Neuroprotective Therapy for MS Using Patient-Derived Brain Organoids

Investigating Genetic & Epigenetic Association with Familial MS

Assessing Geographic and Socioeconomic Disparities in Access to Disease-Modifying Therapies for Multiple Sclerosis Patients in the UAE

Early Predication, Timely Diagnosis and Accurate Prognosis of Multiple Sclerosis from Multi-Modal Data Using Artificial Intelligence

Enhancing Myelination in Multiple Sclerosis Through Targeted Electric Field Simulation

Development and Evaluation of Augmented Reality-Based Dual-Task Training to Enhance Cognitive and Motor Function in People with Multiple Sclerosis

Self-Energy Harvesting Sensors for Enhanced Monitoring of MS (SENSE)

Randomised Controlled Open-Label Study Evaluating the Safety and Efficacy of Extracorporeal Photopheresis (ECP) in the Treatment of MS

Addressing the Eligibility of Escalation Versus Early Intensive Approach in Treatment-Naïve Relapsing MS Patients Using MRI and Deep Learning

MS in Children: Epidemiology, Clinical Characteristics, and Treatment Patterns in the MENA Region

NMSS-LLM: The World's First Large Language Model for Multiple Sclerosis

LAMINATE: Longitudinal AI-based MS Lesion and Atrophy Segmentation Tool