Results 111 to 120 of about 1,616,869 (326)
Normobaric Hyperoxia Therapy in Treating Stroke
Yanli Duan,1,* Xiangyu Li,2,* Song Han,1 Jingwei Guan,1 Zhiying Chen,3 Weili Li,4 Ran Meng,5 Jiayue Ding1 1Department of Neurology, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China; 2Department of Neurology,
Duan Y+7 more
doaj
Neurological Complications Following Myelography with Water-Soluble Contrast Medium [PDF]
Lennart Söderberg+2 more
openalex +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
Literature complements medical literature in the academic and clinical development of neurologists. The present article explores the contributions of writers of fiction on neurology.Literary works of fiction with particular reference to neurology.A symbiosis between writers of fiction and doctors has been well recognised.
openaire +6 more sources
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
TWO CASES OF EPIDEMIC ENCEPHALITIS, SHOWING UNUSUAL NEUROLOGIC FINDINGS [PDF]
Joshua H. Leiner
openalex +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