Results 101 to 110 of about 37,036 (269)

Frailty Exacerbates Disability in Progressive Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background To evaluate frailty in severe progressive multiple sclerosis (PMS) and to investigate the underlying mechanisms. Methods This prospective, cross‐sectional, multicenter study enrolled a late severe PMS group requiring skilled nursing (n = 53) and an age, sex, and disease duration‐matched control PMS group (n = 53).
Taylor R. Wicks, Anna Wolska, Diala Ghazal, Dejan Jakimovski, Bianca Weinstock‐Guttman, Alexander Burnham, Niels Bergsland, Michael G. Dwyer, Alan T. Remaley, Robert Zivadinov, Murali Ramanathan   +10 more
wiley   +1 more source

Inhibition of Classical and Alternative Complement Pathway by Ravulizumab and Eculizumab

Annals 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, Frauke Stascheit, Maximilian Mönch, Paolo Doksani, Carla Dusemund, Meret Herdick, Philipp Mergenthaler, Maike Stein, Amani Suboh, Jutta Schröder‐Braunstein, Guido Wabnitz, Jan D. Lünemann, Sophie Lehnerer, Sarah Hoffmann, Andreas Meisel   +14 more
wiley   +1 more source

The Case of a 28‐Year‐Old Woman With Medically Refractory Focal Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT We present the case of a 28‐year‐old right‐handed woman with medically refractory focal epilepsy. Her seizure semiology and electroencephalography (EEG) indicated a seizure onset zone in the right central‐parietal area. However, both MRI and PET scans were unremarkable, showing no focal lesions or areas of altered metabolism.
Rishi Sharma, Ilo Leppik, Thomas Henry, Thaddeus Walczak, Sima Patel, Robert McGovern   +5 more
wiley   +1 more source

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

Annals 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, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Quantitative patient graph analysis for transient ischemic attack risk factor distribution based on electronic medical records

Heliyon
A transient ischemic attack (TIA) affects millions of people worldwide. Although TIA risk factors have been identified individually, a systemic quantitative analysis of all health factors relevant to TIA using electronic medical records (EMR) remains ...
Jian Wen, Tianmei Zhang, Shangrong Ye, Peng Zhang, Ruobing Han, Xiaowang Chen, Ran Huang, Anjun Chen, Qinghua Li   +8 more
doaj   +1 more source

Acoustic Measures Capture Speech Dysfunction in Spinocerebellar Ataxia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxias (SCA) are hereditary cerebellar degenerative disorders with a common feature of dysarthria, involving impaired phonatory and articulatory control of speech, thereby affecting social communication. In this study, we investigated whether acoustic measures could objectively measure speech dysfunction and identify
Zena Fadel, Charlotte Hennessey, Hannah Lee, Pia Parekh, Sheng‐Han Kuo, Ami Kumar   +5 more
wiley   +1 more source

Enhancing Medical Image Retrieval with UMLS-Integrated CNN-Based Text Indexing

Diagnostics
In recent years, Convolutional Neural Network (CNN) models have demonstrated notable advancements in various domains such as image classification and Natural Language Processing (NLP).
Karim Gasmi, Hajer Ayadi, Mouna Torjmen
doaj   +1 more source

Age‐Related Characteristics of SYT1‐Associated Neurodevelopmental Disorder

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives We describe the clinical manifestations and developmental abilities of individuals with SYT1‐associated neurodevelopmental disorder (Baker‐Gordon syndrome) from infancy to adulthood. We further describe the neuroradiological and electrophysiological characteristics of the condition at different ages, and explore the associations ...
Sam G. Norwitz, Josefine Eck, Joel S. Winston, Kate Baker   +3 more
wiley   +1 more source

Multilabel Classification of Radiology Image Concepts Using Deep Learning

Applied Sciences
Understanding and interpreting medical images, particularly radiology images, is a time-consuming task that requires specialized expertise. In this study, we developed a deep learning-based system capable of automatically assigning multiple standardized ...
Vito Santamato, Agostino Marengo
doaj   +1 more source

Time-resolved evaluation of compound repositioning predictions on a text-mined knowledge network

BMC Bioinformatics, 2019
Background Computational compound repositioning has the potential for identifying new uses for existing drugs, and new algorithms and data source aggregation strategies provide ever-improving results via in silico metrics.
Michael Mayers, Tong Shu Li, Núria Queralt-Rosinach, Andrew I. Su   +3 more
doaj   +1 more source