Results 141 to 150 of about 2,238,851 (367)

Deep Neural Mobile Networking

arXiv: Networking and Internet Architecture, 2020
PhD thesis, University of Edinburgh (2020)
openaire   +3 more sources

Patient Selection in Deep Brain Stimulation: A Role for Transcranial Direct Current Stimulation to Enhance the Levodopa Challenge?

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Dopaminergic medication and deep brain stimulation (DBS) improve motor symptoms in Parkinson's disease (PD), but levodopa response alone may not predict DBS outcomes. We retrospectively analyzed 19 PD patients undergoing levodopa challenges with and without prior transcranial direct current stimulation targeting a defined PD response network ...
Lukas L. Goede, Patricia Zvarova, Bahne H. Bahners, Andreas Horn   +3 more
wiley   +1 more source

Deep learning for chemoinformatics

大数据, 2017
Deep learning have been successfully used in computer vision，speech recognition and natural language processing，leading to the rapid development of artificial intelligence.The key technology of deep learning was also applied to chemoinformatics，speeding ...
Youjun XU, Jianfeng PEI
doaj  

Translating Muscle RNAseq Into the Clinic for the Diagnosis of Muscle Diseases

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Approximately half of patients with hereditary myopathies remain without a definitive genetic diagnosis after DNA next‐generation sequencing (NGS). Here, we implemented transcriptome analysis of muscle biopsies as a complementary diagnostic tool for patients with muscle disease but no definitive genetic diagnosis after exome ...
Alba Segarra‐Casas, Cristina Domínguez‐González, Daniel Natera‐de Benito, Solange Kapetanovic, Aurelio Hernández‐Laín, Berta Estévez‐Arias, Laura Llansó, Carlos Ortez, Cristina Jou, Itxaso Martí‐Carrera, Arístides López‐Márquez, Maria José Rodríguez, Laura González‐Mera, Velina Nedkova, Roberto Fernández‐Torrón, Benjamín Rodríguez‐Santiago, Cecília Jimenez‐Mallebrera, Raul Juntas‐Morales, Adolfo López‐de Munain, Jordi Surrallés, Andrés Nascimento, Eduard Gallardo, Montse Olivé, Pia Gallano, Lidia González‐Quereda   +24 more
wiley   +1 more source

Verifying Properties of Binarized Deep Neural Networks

, 2018
Understanding properties of deep neural networks is an important challenge in deep learning. In this paper, we take a step in this direction by proposing a rigorous way of verifying properties of a popular class of neural networks, Binarized Neural ...
Kasiviswanathan, Shiva Prasad, Narodytska, Nina, Ryzhyk, Leonid, Sagiv, Mooly, Walsh, Toby   +4 more
core   +1 more source

Pathway Analyses of Inherited Neuropathies Identify Putative Common Mechanisms of Axon Degeneration

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Inherited neuropathies (IN) are associated with over 100 different genetic mutations presenting with a variety of phenotypes. This complexity suggests multiple pathways may converge onto a limited number of downstream pathways to effect axonal injury.
Christopher R. Cashman, Craig Blackstone, Reza Sadjadi   +2 more
wiley   +1 more source

Fetal Akinesia/Hypokinesia and Arthrogryposis of Neuromuscular Origin: Etiologic Groups, Genetics, and Phenotypic Spectrum

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To provide a comprehensive clinical and genetic characterization of individuals with arthrogryposis multiplex congenita (AMC), focusing on the distribution of genetic etiologies across the neuromuscular spectrum and comparing myogenic and neurogenic subtypes. Methods A total of 105 individuals with AMC were clinically and genetically
Florencia Pérez‐Vidarte, Berta Estévez‐Arias, Leslie Matalonga, Delia Yubero, Anna Codina, Carlos Ortez, Julita Medina, Lidia DeSena DeCabo, Laura Carrera‐García, Jesica Expósito‐Escudero, Cristina Jou, Eduardo F. Tizzano, Andres Nascimento, Daniel Natera‐de Benito   +13 more
wiley   +1 more source

Plasma microRNA Signature as Predictive Marker of Clinical Response to Therapy During Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Despite the availability of effective therapies for Multiple Sclerosis (MS), the unpredictable nature of disease progression and the variability in individual treatment outcomes call for reliable biomarkers. This pilot study aims to investigate the potential of plasma circulating microRNAs (miRNAs) as predictive biomarkers for ...
Fortunata Carbone, Alessandra Colamatteo, Teresa Micillo, Gianmarco Abbadessa, Silvia Garavelli, Clorinda Fusco, Claudia Russo, Francesco Perna, Federica Garziano, Claudia La Rocca, Maria Mottola, Giorgia Teresa Maniscalco, Simona Bonavita, Antonio Luca Spiezia, Alessia Castiello, Roberta Lanzillo, Vincenzo Brescia Morra, Claudio Procaccini, Paola de Candia, Giuseppe Matarese   +19 more
wiley   +1 more source

Deep Learning for Enhanced Prosthetic Control: Real-Time Motor Intent Decoding for Simultaneous Control of Artificial Limbs

IEEE Transactions on Neural Systems and Rehabilitation Engineering
The development of advanced prosthetic devices that can be seamlessly used during an individual’s daily life remains a significant challenge in the field of rehabilitation engineering.
Jan Zbinden, Julia Molin, Max Ortiz-Catalan   +2 more
doaj   +1 more source

Stage‐Dependent Inhibitory Connectivity in Striatal‐Motor Circuit in Huntington's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Elucidating dysfunctional connectivity patterns among key brain regions in Huntington's disease (HD) underlying progression may have implications for developing treatment and therapeutic evaluation. Objective Explore the relationship between abnormal spontaneous resting‐state activity and atrophy in HD‐specific brain regions and ...
Yinghua Jing, Imis Dogan, Rena Theda Overbeck, Kathrin Reetz, Sandro Romanzetti   +4 more
wiley   +1 more source