Results 191 to 200 of about 485,746 (283)

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

DMSCA: dynamic multi-scale channel-spatial attention for enhanced feature representation in convolutional neural networks. [PDF]

Sci Rep
Zong L, Nan SJ, Die ZF, Peng HJ.
europepmc   +1 more source

Use of Symptomatic Drug Treatment for Fatigue in Multiple Sclerosis and Patterns of Work Loss

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To describe the use of central stimulants and amantadine for fatigue in MS and evaluate a potential association with reduced work loss in people with MS. Methods We conducted a nationwide, matched, register‐based cohort study in Sweden (2006 to 2023) using national registers with prospective data collection.
Simon Englund, Johan Reutfors, Thomas Frisell, Fredrik Piehl   +3 more
wiley   +1 more source

Olink Proteomics Analysis Reveals Heterogeneous Responses to FcRn Blockade in Anti‐AChR Antibody‐Positive Myasthenia Gravis: FGF‐19 as a Novel Biomarker

Annals of Clinical and Translational Neurology, EarlyView.
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, Deyou Peng, Zhouao Zhang, Mingjin Yang, Xinyan Guo, Tianyu Ma, Xiaoyu Huang, Mingming Xu, Linlin Fu, Yong Zhang   +9 more
wiley   +1 more source

MTF-NET: A mixed traffic flow multi-target detection network based on full-field perception and adaptive optimization. [PDF]

PLoS One
Li S, Meng Q, Liu X, Wang Z, Kong S, Li B.   +5 more
europepmc   +1 more source

Reduced Muscular Carnosine in Proximal Myotonic Myopathy—A Pilot 1H‐MRS Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Myotonic dystrophy type 2 (proximal myotonic myopathy, PROMM) is a progressive multisystem disorder with muscular symptoms (proximal weakness, pain, myotonia) and systemic manifestations such as diabetes mellitus, cataracts, and cardiac arrhythmias.
Alexander Gussew, Maryam Kargaran, Maik Rothe, Andreas Deistung, Dietrich Stoevesandt, Walter A. Wohlgemuth, David Strube, Thomas Kendzierski, Anna Katharina Kölsch, Maurits Gerhard Abraham Heuschen, Markus Otto, Alexander Mensch   +11 more
wiley   +1 more source

CTRNet: a lightweight and efficient deep learning model for field maize whorl identification. [PDF]

Sci Rep
Tian X, Zhang J, Li Y.
europepmc   +1 more source

Saliency Map Generation

IJARCCE, 2017
Kiran Kumar M Mogalai, Dr. Veenadevi S V
openaire   +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

Defect detection method of printed circuit boards based on EDF-YOLOv10. [PDF]

PLoS One
Shen Z, Yao Y, Liu L, Cao Y, Lu L.
europepmc   +1 more source