Results 81 to 90 of about 163,617 (218)

CSF Cytokine Network Organization Predicts Progression Independent of Relapse and MRI Activity in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Progression independent of relapse activity is a major determinant of long‐term disability in multiple sclerosis, but its immunopathologic basis remains incompletely understood. We investigated whether relapse‐independent progression in radiologically stable relapsing–remitting multiple sclerosis is associated with distinct ...
Antonio Bruno, Matteo Conti, Ettore Dolcetti, Federica Azzolini, Angela Borrelli, Roberta Fantozzi, Mario Stampanoni Bassi, Giovanni Galifi, Giuseppe Maccarrone, Luca Montaguti, Marco Cervigni, Maddalena Dal Pozzo, Roberto Furlan, Annamaria Finardi, Girolama Alessandra Marfia, Marco Salvetti, Antonella Conte, Fabio Buttari, Diego Centonze, Luana Gilio   +19 more
wiley   +1 more source

Reconsidering the use of race, sex, and age in clinical algorithms to address bias in practice: A discussion paper

International Journal of Nursing Studies Advances
Clinical algorithms are commonly used as decision-support tools, incorporating patient-specific characteristics to predict health outcomes. Risk calculators are clinical algorithms particularly suited for resource allocation based on risk estimation ...
Reanna Panagides, Jessica Keim-Malpass
doaj   +1 more source

Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella, Veria Vacchiano, Vittorio Velucci, Stefano Zoccolella, Rocco Liguori, Giovanni Defazio   +5 more
wiley   +1 more source

Boundary‐Dependent Sleep–Wake Dysregulation in Idiopathic Hypersomnia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Idiopathic hypersomnia (IH) presents with excessive daytime sleepiness (EDS) despite apparently preserved nocturnal sleep, challenging traditional models of hypersomnolence based on sleep loss or fragmentation. We aimed to test the hypothesis that EDS in IH reflects excessive stabilization of the sleep state, consistent with ...
Samantha Mombelli, Karine Lacourse, Hélène Blais, Anne‐Sophie Deshaies‐Rugama, Cynthia Thompson, Alex Desautels, Jacques Montplaisir, Milan Nigam, Christophe Moderie, Boshra Khajehpiri, Catherine Duclos, Jean Marc Lina, Julie Carrier, Nadia Gosselin   +13 more
wiley   +1 more source

Distribution network state estimation by fusing improved generative adversarial network and graph attention network

电力工程技术
The distribution network is connected to new elements such as distributed new energy and controllable resources, and the traditional state estimation model is faced with new problems such as incomplete measurement information, frequent topology changes ...
Qi ZHAO, Jiang TIAN, Xiuzhi XU, Yang LÜ
doaj   +1 more source

Estimation of shifted weibull distribution parameters using optimization algorithms for optimal investment decisions making

Franklin Open
This study examines the estimation of parameters for the Shifted Weibull Distribution (SWD) using several robust metaheuristic algorithms, with a focus on enhancing precision and reliability in investment data analysis.
Hamza Abubakar, Masnita Misiran, Amani Idris A. Sayed   +2 more
doaj   +1 more source

Alzheimer's Disease Biomarkers Measured by Capillary Blood Collection Versus Venous Plasma and Cerebrospinal Fluid

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Blood biomarkers are increasingly critical for non‐invasive Alzheimer's Disease (AD) diagnostics and research but typically require on‐site processing. Remote point‐of‐care collection methods could enhance biomarker testing in clinical and research settings.
Sara Ho, Ziling Shen, Alexandria Lewis, Megha Patel, Anny Zheng, Gianna Proscino, Thaovy Ho, Jiangxia Wang, Marilyn Albert, Abhay Moghekar   +9 more
wiley   +1 more source

Fast Parabola Detection Using Estimation of Distribution Algorithms. [PDF]

Comput Math Methods Med, 2017
Guerrero-Turrubiates JJ, Cruz-Aceves I, Ledesma S, Sierra-Hernandez JM, Velasco J, Avina-Cervantes JG, Avila-Garcia MS, Rostro-Gonzalez H, Rojas-Laguna R.   +8 more
europepmc   +1 more source

Temporal Divergence of True and False Alarms in Pediatric Nocturnal Seizure Monitoring

Annals of Clinical and Translational Neurology, EarlyView.
The early‐morning surge in false seizure alarms supports exploring time‐ or state‐dependent detection thresholds to reduce false detections. ABSTRACT Seizure detection devices can improve the safety of children with epilepsy, yet high false alarms limit their clinical applicability.
Mohammad Shahbakhti, Anemoon T. Bosch, Job van der Palen, Franciscus S. Leijten, Johannes P. van Dijk, Richard H. C. Lazeron, Roland D. Thijs   +6 more
wiley   +1 more source

Early Clinical and Cerebrospinal Fluid Predictors of 1‐Year Recurrence in Autoimmune GFAP Astrocytopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Autoimmune glial fibrillary acidic protein astrocytopathy (GFAP‐A) is an inflammatory central nervous system disorder with variable outcomes. Relapse occurs in a subset of patients, but early predictors remain unclear. We aimed to identify admission‐available features associated with 1‐year recurrence and develop an interpretable ...
Qingting Hong, Yuping Xiao, Yuhan Wu, Ziyuan Huang, Weishan Liang, Li Xiao, Yaqing Shu, Tingting Lu, Yanyu Chang, Wei Qiu, Yuge Wang   +10 more
wiley   +1 more source