Results 241 to 250 of about 2,128,954 (339)
ABSTRACT Objective This study aimed to systematically observe the clinical manifestations, immune cell subsets, and dynamic changes in serological indicators in patients with myasthenia gravis (MG) before and after efgartigimod (EFG) treatment. Methods We analyzed the baseline data, laboratory parameters, and lymphocyte subset proportions in MG ...
Tiancheng Luo +9 more
wiley +1 more source
Albumin-Based Cryogels as Floating Platforms for Gastroretentive Drug Delivery Applications. [PDF]
Hsu WC, Hu TM.
europepmc +1 more source
Increased Blood Levels of NfL, GFAP, and Placental Growth Factor After Radiotherapy to the Brain
ABSTRACT In this study, we analyzed biomarkers of neuronal, glial, and vascular injury in longitudinal paired samples of blood and cerebrospinal fluid after prophylactic cranial irradiation in patients with small cell lung cancer. Neurofilament light chain protein (NfL) and glial fibrillary acidic protein (GFAP) increased in serum and cerebrospinal ...
Erik Fernström +5 more
wiley +1 more source
In Vitro Evaluation of Ruminal Fermentation and Methane Production in Response to the Addition of Modified Nano-Bentonite with or Without <i>Saccharomyces cerevisiae</i> to a Forage-Based Diet. [PDF]
Abo-Sherif S +4 more
europepmc +1 more source
Structural and Dynamic Basis of Serine Proteases from Nematophagous Fungi for Cuticle Degradation
Shu-Qun Liu +7 more
openalex +2 more sources
ABSTRACT Background Myasthenia gravis (MG) is an autoimmune disorder characterized by antibody‐mediated complement activation. Efgartigimod, a neonatal Fc receptor (FcRn) antagonist, is approved for treating generalized MG (gMG). However, its modulatory effects on upstream innate and adaptive immune cells remain largely unexplored.
Lei Jin +11 more
wiley +1 more source
Land Degradation Model Based on Vegetation and Erosion Aspects Using Remote Sensing Data
Adhi Wibowo +3 more
openalex +2 more sources
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source

