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
Data-driven emulation of modal aerosol microphysics via neural operator-based modeling
Zhe Bai
openalex +1 more source
Chronological and Spatial Distribution of Skeletal Muscle Fat Replacement in FHL1‐Related Myopathies
ABSTRACT Objectives Variants in the FHL1 gene cause FHL1‐related myopathies (FHL1‐RMs), a group of neuromuscular disorders with diverse clinical presentations. This study aimed to comprehensively characterize the spatial and temporal patterns of skeletal muscle fat replacement throughout the whole body in FHL1‐RMs, to examine disease progression over ...
Rui Shimazaki +8 more
wiley +1 more source
Automated diagnosis of pulmonary nodules in 3D PET/CT images using dual-path densely connected networks with cross-modal fusion. [PDF]
Liao F +6 more
europepmc +1 more source
Investigating Nanostructured Materials by Multi-modal in situ X-ray Methods
Davide Derelli
openalex +1 more source
Use of Symptomatic Drug Treatment for Fatigue in Multiple Sclerosis and Patterns of Work Loss
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 +3 more
wiley +1 more source
DCA-UNet: A Cross-Modal Ginkgo Crown Recognition Method Based on Multi-Source Data. [PDF]
Guo Y +6 more
europepmc +1 more source
Post‐COVID Fatigue Is Associated With Reduced Cortical Thickness After Hospitalization
ABSTRACT Objective Neuropsychiatric symptoms are among the most prevalent sequelae of COVID‐19, particularly among hospitalized patients. Recent research has identified volumetric brain changes associated with COVID‐19. However, it currently remains poorly understood how brain changes relate to post‐COVID fatigue and cognitive deficits.
Tim J. Hartung +190 more
wiley +1 more source
Effect Investigation of Process Parameters on 3D Printed Composites Tensile Performance Boosted by Attention Mechanism-Enhanced Multi-Modal Convolutional Neural Networks. [PDF]
Gao Z +6 more
europepmc +1 more source

