Results 141 to 150 of about 219,698 (314)
ALDOA Promotes Glycolysis and NLRP3/GSDMD Pyroptosis to Accelerate ALS Progression
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is characterized by progressive motor neuron degeneration. Glycolytic dysregulation is implicated in disease progression, yet the underlying mechanisms remain unclear. This study investigates how Aldolase A (ALDOA) drives ALS progression through glycolysis‐mediated motor neuron pyroptosis.
Kaixin Yan +9 more
wiley +1 more source
Optimization of Hamiltonian Neural Networks using Liouville's Theorem [PDF]
openWe study some optimization approaches on a specific type of artificial neural networks called Physics-Informed Neural Networks, PINNs for short. These types of networks make use of some of the groundwork already done in the scientific field, like ...
SABBAH, SAMIR
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Adaptivni Sistemi Avtomatičnogo UpravlinnâObject is a neural networks in the field of computer vision and data analysis. The article explores the fundamental principles and aspects underlying the functioning of neural networks.
Р. Ковальчук +1 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Considerable efforts have been dedicated to developing effective treatments for post‐stroke executive impairment (PSEI), among which repetitive transcranial magnetic stimulation (rTMS) has shown great potential. This study aimed to investigate the therapeutic effects of high‐frequency rTMS on working memory (WM) and response ...
Mengting Lao +6 more
wiley +1 more source
Neural Networks as Local-to-Global Computations
CoRR43 pages, 21 ...
Vicente Bosca, Robert Ghrist
openaire +2 more sources
RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu +21 more
wiley +1 more source
Estimating the Duration of Treatment and Hospitalization Costs Using Neural Network Approach
مدیریت اطلاعات سلامت, 2012 Background: Using neural networks and genetic algorithms in evaluating health-related variables has increased recently. Employing intelligent tools for diagnosis and treatment of diseases can reduce medical errors and human and financial losses.
Saeed Samadi +2 more
doaj
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio +8 more
wiley +1 more source
Artificial Neural Networks in Financial Modelling [PDF]
The study of Artificial Neural Networks derives from first trials to translate in mathematical models the principles of biological processing. An Artificial Neural Network deals with generating, in the fastest times, an implicit and predictive model of ...
Cristina Di Letizia +2 more
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