Results 141 to 150 of about 5,408,588 (346)

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

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

open access: yesAnnals 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   +11 more
wiley   +1 more source

Modeling biological memory network by an autonomous and adaptive multi-agent system

open access: yesBrain Informatics
At the intersection of computation and cognitive science, graph theory is utilized as a formalized description of complex relationships description of complex relationships and structures, but traditional graph models are static, lack the dynamic and ...
Hui Wei, Chenyue Feng, Fushun Li
doaj   +1 more source

Association of Corticospinal Tract Asymmetry With Ambulatory Ability After Intracerebral Hemorrhage

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Ambulatory ability after intracerebral hemorrhage (ICH) is important to patients. We tested whether asymmetry between ipsi‐ and contra‐lesional corticospinal tracts (CSTs) assessed by diffusion tensor imaging (DTI) is associated with post‐ICH ambulation.
Yasmin N. Aziz   +25 more
wiley   +1 more source

Explainable representation learning of small quantum states

open access: yesMachine Learning: Science and Technology
Unsupervised machine learning models build an internal representation of their training data without the need for explicit human guidance or feature engineering.
Felix Frohnert, Evert van Nieuwenburg
doaj   +1 more source

Proposed standardized definitions for vertical resolution and uncertainty in the NDACC lidar ozone and temperature algorithms – Part 2: Ozone DIAL uncertainty budget

open access: gold, 2016
Thierry Leblanc   +7 more
openalex   +1 more source

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