A generalization of the mean mean value theorem
Bailey, D.F., Fix, G.J.
openaire +1 more source
ABSTRACT Objective To evaluate the expression of nine blood RNA biomarkers in a clinical trial based on genes previously identified in an experimental monkey model of stroke for diagnosis feasibility and prognostication. Methods IBIS‐CT1 was a prospective longitudinal study enrolling patients with ischemic stroke (IS) or intracerebral hemorrhage (ICH ...
Salomé Retailleau +11 more
wiley +1 more source
Generalized Confidence Interval for the Largest Normal Mean
Javad Behboodian, Ali Akbar Jafari
doaj
When Stress Becomes Human: The Joint Effect of Anthropomorphism and Generalized Trust on Stress Mindset. [PDF]
Fan W, Sun Q, Gao Q, Wu L, Liu L.
europepmc +1 more source
ABSTRACT Objective To investigate which baseline clinical and imaging characteristics best predict TSPO‐PET‐measurable reduction in glial activation following treatment of multiple sclerosis (MS), to utilize this information for designing more efficient biomarker‐based clinical trials targeting glial activation.
Marlene T. Morch +5 more
wiley +1 more source
Electroacupuncture Improves Nitroglycerin-Induced Generalized Hypersensitivity Associated with a Migraine-Like State and Downregulates the CXCL13/CXCR5 Axis in the Trigeminal Ganglion. [PDF]
Wang F, Yuan J.
europepmc +1 more source
The Substitutive Mean and Certain Subclasses of this General Mean
openaire +3 more sources
Predictive Value of Composite Inflammatory Markers for Stroke Prognosis: A Prospective Cohort Study
ABSTRACT Background Novel composite inflammatory markers' role in stroke prognosis is understudied, and the best predictor is unclear, requiring further exploration. Objectives This study aimed to systematically evaluate the associations of 6 novel composite inflammatory markers on stroke prognosis.
Bing Wu +7 more
wiley +1 more source
Pembrolizumab-associated myasthenia gravis in thymic tumors: A single-center case series and comparative analysis. [PDF]
Kwon S +6 more
europepmc +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source

