Results 281 to 290 of about 752,420 (346)
New Horizons for Multiple Sclerosis Therapy: 2025 and Beyond
The advances achieved against multiple sclerosis (MS) represent one of the great success stories of modern molecular medicine. The development of therapies with increasing selectivity and safety, guided by gains in understanding the fundamental immunology, neurobiology, genetics, and triggers of this disease, have broadened the traditional focus on ...
Joseph J. Sabatino Jr.+2 more
wiley +1 more source
Prevalence and incidence of multiple sclerosis in Bulgaria. [PDF]
Nikolova A, Milanov I, Kmetska K.
europepmc +1 more source
Visual Features in Stereo‐Electroencephalography to Predict Surgical Outcome: A Multicenter Study
Objective Epilepsy surgery needs predictive features that are easily implemented in clinical practice. Previous studies are limited by small sample sizes, lack of external validation, and complex computational approaches. We aimed to identify and validate visually stereo‐electroencephalography (SEEG) features with the highest predictive value for ...
Chifaou Abdallah+20 more
wiley +1 more source
Toward Natural Limb Function: A New Era in Prosthetic Innovation
The past decade has witnessed groundbreaking clinical implementation of neuroprosthetic limbs driven by signals from peripheral targets (eg, nerves and muscle) and the brain to restore limb function for individuals with limb loss or impairment. In this review, we highlight recent key clinical trials in peripheral neuroprosthetic interfaces directly ...
Yucheng Tian+4 more
wiley +1 more source
Adherence to therapeutic recommendation in relapsing-remitting multiple sclerosis patients. [PDF]
Chojdak-Łukasiewicz J+3 more
europepmc +1 more source
Objective Spinal cord (SC) atrophy correlates with and predicts the underlying progressive biology in active and non‐active multiple sclerosis (MS), thereby providing a biomarker for clinical trials and patient management. Initiation of disease‐modifying therapy (DMT) may be followed by early pronounced central nervous system (CNS) volume loss due to ...
Simone Sacco+26 more
wiley +1 more source
Semi-Supervised Learning for Predicting Multiple Sclerosis. [PDF]
Kotsiantis S+4 more
europepmc +1 more source