Results 211 to 220 of about 1,569,764 (334)
ABSTRACT Background Sphingosine‐1‐phosphate receptor modulators (S1PRM) are used to treat relapsing multiple sclerosis (MS). Each drug has a different S1PR‐subtype selectivity. They target the G‐protein coupled S1P receptors and exert significant immunomodulatory effects, such as preventing the formation of new CNS lesions and the reactivation of pre ...
Faizan Shahzad+8 more
wiley +1 more source
High-Entropy Oxide Memristors for Neuromorphic Computing: From Material Engineering to Functional Integration. [PDF]
Yang JL+6 more
europepmc +1 more source
Long‐Term Temporal Profile of Motor Recovery After Intracerebral Hemorrhage
ABSTRACT Objective Limited data is available to describe the temporal profile of long‐term recovery over 1 year after the stroke in patients with spontaneous intracerebral hemorrhage (ICH). Methods A registered multicentral cohort was conducted to consecutively include non‐herniated supratentorial ICH patients from November 2013 to January 2023 ...
Yan Zheng+24 more
wiley +1 more source
In Vitro Modeling of Natural Killer Cell Cytotoxicity to Inform Personalized ALS Therapeutics
ABSTRACT Objective Natural killer (NK) cells might contribute to motor neuron death in amyotrophic lateral sclerosis (ALS) through direct cytotoxicity, a process that could be inhibited with the FDA‐approved JAK/STAT pathway inhibitor, tofacitinib. This study aimed to verify that tofacitinib can suppress NK cell cytotoxicity, investigate if immune cell
Benjamin J. Murdock+8 more
wiley +1 more source
ABSTRACT Objective To compare the effectiveness of high‐efficacy treatments (HET) and low‐efficacy treatments (LET) in NMOSD patients with anti‐aquaporin‐4 antibodies (AQP4‐ab). Methods In this multi‐center study, we analyzed 183 AQP4‐ab seropositive NMOSD patients who received immunosuppressive treatments (IST).
Xiang Li+10 more
wiley +1 more source
A Validated Model to Predict Severe Weight Loss in Amyotrophic Lateral Sclerosis
ABSTRACT Severe weight loss in amyotrophic lateral sclerosis (ALS) is common, multifactorial, and associated with shortened survival. Using longitudinal weight data from over 6000 patients with ALS across three cohorts, we built an accelerated failure time model to predict the risk of future severe (≥ 10%) weight loss using five single‐timepoint ...
David G. Lester+4 more
wiley +1 more source
ABSTRACT Objective To evaluate the long‐term impact of early intensive treatment (EIT) versus escalation (ESC) strategies using high‐efficacy disease‐modifying therapies (HE‐DMTs) on disability progression in relapsing multiple sclerosis (RMS). Methods This observational study included 4878 RMS patients from the Italian Multiple Sclerosis Register ...
Pietro Iaffaldano+47 more
wiley +1 more source
A machine learning approach for detecting WPA3 downgrade attacks in next-generation Wi-Fi systems. [PDF]
Tareef A+7 more
europepmc +1 more source