Results 141 to 150 of about 1,112,952 (328)

Domain Specific Placebo Response in the Modified Friedreich's Ataxia Rating Scale

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The placebo response in clinical trials in ataxias complicates outcome interpretation and potentially obscures genuine treatment effects. We analyzed placebo group data from past trials in Friedreich Ataxia and observed notable responses in appendicular items, in contrast to minimal changes in axial function, as measured by respective ...
Christian Rummey   +2 more
wiley   +1 more source

The Unified Modeling Language

open access: yesPhysica-Verlag HD, 1998
M. Schader, Axel Korthaus
semanticscholar   +1 more source

Multi‐Omics Integration for Advancing Glioma Precision Medicine

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Gliomas are among the most malignant and aggressive tumors of the central nervous system, characterized by the absence of early diagnostic markers, poor prognosis, and a lack of effective treatments. Advances in high‐throughput technologies have facilitated a refined molecular classification of gliomas, incorporating genetic features. However,
Maria Guarnaccia   +4 more
wiley   +1 more source

Foundations of the Unified Modeling Language. [PDF]

open access: yes
Object-oriented analysis and design is an increasingly popular software development method. The Unified Modeling Language (UML) has recently been proposed as a standard language for expressing object-oriented designs. Unfor- tunately, in its present form
Clark, Anthony, Evans, Andy
core  

Inhibition of Classical and Alternative Complement Pathway by Ravulizumab and Eculizumab

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the feasibility of classical (CH50) and alternative (AH50) complement pathway activity as potential biomarkers for treatment guidance and monitoring during therapy with ravulizumab in patients with generalized myasthenia gravis (gMG) and compare these to therapeutic drug monitoring under eculizumab.
Lea Gerischer   +14 more
wiley   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein   +7 more
wiley   +1 more source

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