Results 141 to 150 of about 3,794,676 (323)

Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Clinical trials for Huntington's disease (HD) enrolling persons before clinical motor diagnosis (CMD) lack validated biomarkers. This study aimed to conduct an unbiased discovery analysis and a targeted examination of proteomic biomarkers scrutinized by clinical validation. Methods Cerebrospinal fluid was obtained from PREDICT‐HD and
Daniel Chelsky, Cara Joyce, H. Jeremy Bockholt, Paul A. Rudnick, William H. Adams, Fiona McAllister, Justin W. Smock, Michael A. Newton, Jane S. Paulsen   +8 more
wiley   +1 more source

GAN-powered Deep Distributional Reinforcement Learning for Resource Management in Network Slicing [PDF]

, 2019
Yuxiu Hua, Rongpeng Li, Zhifeng Zhao, Xianfu Chen, Honggang Zhang   +4 more
openalex   +1 more source

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 more
wiley   +1 more source

Empowering Beyond 5G Networks: An Experimental Assessment of Zero-Touch Management and Orchestration

IEEE Access
Effective zero-touch management and orchestration (ZSM&O) is crucial for scaling network slicing, particularly transitioning toward Beyond 5G (B5G) and 6G networks. This paper empirically validates the network slicing framework developed under the
Sergio Barrachina-Munoz, Farhad Rezazadeh, Luis Blanco, Slawomir Kuklinski, Engin Zeydan, Ashima Chawla, Lanfranco Zanzi, Francesco Devoti, Vasiliki Vlahodimitropoulou, Ioannis Chochliouros, Anne-Marie Bosneag, Sihem Cherrared, Luca Vettori, Josep Mangues-Bafalluy   +13 more
doaj   +1 more source

Immersive VR Network Management Analysis considering Automatic Topology Discovery Algorithms.

Comput Intell Neurosci, 2022
He J.
europepmc   +1 more source

Convolutional-Recurrent Neural Network Proxy for Robust Optimization and Closed-Loop Reservoir Management [PDF]

, 2022
Kim, Yong Do, Louis J. Durlofsky
openalex   +1 more source

An Out‐of‐Place Etiology: Recognizing FMR1 Premutation in the Memory Clinic

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The FMR1 gene premutation (55–200 CGG repeats) is usually associated with a wide range of symptoms and phenotypes within the Fragile X‐tremor/ataxia syndrome (FXTAS), but may also manifest as predominant or isolated cognitive decline. We describe three male patients referred for progressive cognitive impairment and behavioral changes. Standard
Guido Greco, Caterina Motta, Enrica Marchionni, Maria Rosaria D'Apice, Carlangelo Carrese, Giuseppe Novelli, Alessandro Martorana, Chiara Giuseppina Bonomi   +7 more
wiley   +1 more source

Providing information on environmental change: Data management, discovery and access in the UK Environmental Change Network Data Centre

, 2016
S. Rennie
openalex   +2 more sources

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu, Yuxi Gong, Weilin Xu, Xingjian Sun, Gefei Jiang, Lei Qiu, Kexin Shi, Mengxing Wu, Yinjiao Fei, Jinling Yuan, Jinyan Luo, Yurong Li, Yuandong Cao, Minhong Pan, Shu Zhou   +14 more
wiley   +1 more source

Network Management System for IoT Based on Dynamic Systems.

Comput Math Methods Med, 2021
Alsaffar M, Hamad AA, Alshammari A, Alshammari G, Almurayziq TS, Mohammed MS, Enbeyle W.   +6 more
europepmc   +1 more source