Results 201 to 210 of about 66,699 (304)

Genetically Optimized Modular Neural Networks for Precision Lung Cancer Diagnosis: Exploratory Study of Novel Approach. [PDF]

Cancer Diagn Progn
Agrawal VL, Agrawal T, Ghose A, Adeleke S, Boussios S, Arora RS.   +5 more
europepmc   +1 more source

IV Thrombolysis Facilitates Interventional Reperfusion in Non‐Cardioembolic but Not Cardioembolic Stroke

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Intravenous thrombolysis (IVT) before thrombectomy for ischemic stroke may alter clot structure and procedural performance. We investigated how IVT relates to thrombectomy metrics across stroke etiologies. Methods We performed a time‐to‐event analysis of consecutive patients with anterior circulation large vessel occlusion (acLVO ...
Annahita Sedghi, Daniel P. O. Kaiser, Martin Arndt, Norma J. Diel, Erik Simon, Witold H. Polanski, Volker Puetz, Hagen B. Huttner, Timo Siepmann   +8 more
wiley   +1 more source

Fault detection and isolation method for gas turbines using self-organizing type-3 fuzzy wavelet neural networks. [PDF]

Sci Rep
Mehrabi Hashjin N, Amiri MH, Beheshti A, Najafabadi MK.   +3 more
europepmc   +1 more source

SPG4 and Dementia: Expanding the Clinical Spectrum

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Hereditary spastic paraplegia (HSP) is a group of disorders characterized by progressive spasticity and lower limb weakness, with mutations in SPG4/SPAST being the most common cause. Detailed studies and clinical and molecular comparisons across different populations are missing.
Emanuele Panza, Arun Meyyazhagan, Eliseo Picchi, Gustavo Ribas, Ingrid Faber, Ryosuke Miyamoto, Preethi Basavaraju, Paolo Eusebi, Haripriya Kuchi Bhotla, Mario Stasi, Fabrizio Gaudiello, Francesco Patti, Filippo Maria Santorelli, Marcondes Cavalcante França Jr, José Luiz Pedroso, Orlando Graziani Povoas Barsottini, Hélio Afonso Ghizoni Teive, Peter Henry St George‐Hyslop, Toshitaka Kawarai, Antonio Orlacchio   +19 more
wiley   +1 more source

Ensemble Machine Learning Predicts Platinum Resistance in Ovarian Cancer Using Laboratory Data. [PDF]

Cancers (Basel)
Peng X, Zhang Y, Zhu C, Chen W, Wu X, Zhong F, Guo Q, Liu L.   +7 more
europepmc   +1 more source

Relationship Between Neurologic Symptoms and Signs and FMR1 Genotype in Premutation Carriers

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Fragile X‐associated Tremor/Ataxia Syndrome (FXTAS) is the most severe late‐onset condition caused by a premutation in the FMR1 gene, characterized by expanded CGG triplet repeats of 55–200. Clinical presentations of FXTAS, including gait ataxia, kinetic tremor, cognitive decline, and rare Parkinsonism, are linked to ...
Flora Tassone, Freddy Chafota, Miguel E. Rentería, Randi J. Hagerman, Ellery Santos, Anna Atkinson, Nicholas G. Martin, Elsdon Storey, Danuta Z. Loesch   +8 more
wiley   +1 more source

Utilizing deep learning from mobile phone photos for early detection of horizontal strabismus: a screening approach. [PDF]

Sci Rep
Chawuthai R, Sermswan A, Boonnithititikul C, Hokierti K, Sermsripong W, Jaruniphakul P, Surachatkumtonekul T.   +6 more
europepmc   +1 more source

[18F]Fluorodeprenyl‐D2 PET as a Tool to Monitor Disease Activity in GAD65‐Ab Autoimmune Encephalitis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate [18F]fluorodeprenyl‐D2 ([18F]F‐DED) positron‐emission tomography (PET) imaging as a biomarker of disease activity in autoimmune encephalitis (AIE) associated with glutamic acid decarboxylase 65 (GAD65) antibodies. Methods [18F]F‐DED PET was performed in 25 GAD65‐AIE patients and 8 controls using dynamic (0–60 min) and ...
Julia S. Dorneich, Jonathan A. Gernert, Hanna Zimmermann, Lisa Tagnin, Marianthi Zeinaki, Laura Sanzo, Letizia Vogler, Elisabeth Kaufmann, Justina Dargvainiene, Frank Leypoldt, Gérard N. Bischof, Robert Perneczky, Boris‐Stephan Rauchmann, Simon Lindner, Günter U. Höglinger, Rudolf A. Werner, Martin Kerschensteiner, Tania Kümpfel, Matthias Brendel, Franziska S. Thaler   +19 more
wiley   +1 more source

Enhancing context-aware SARS disorder management: a proposed multi-agent simulation framework with machine learning and bio-sensor data integration. [PDF]

Front Med Technol
Abdullah, Fatima Z, Hafeez N, Ather MA, Tellez RQ, Sidorov G, Sánchez-Mejorada CG, Torres Ruiz MJ.   +7 more
europepmc   +1 more source

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, Xin Duan, Fatemeh Peymani, Jia Wang, Chengjia Bao, Chaolong Xu, Ying Zou, Zixuan Zhang, Yunxi Zhang, Tongyue Li, Martin Pavlov, Junling Wang, Minhan Song, Tianyu Song, Xiaodi Han, Mingxi Sun, Danmin Shen, Ruoyu Duan, Huafang Jiang, Manting Xu, Holger Prokisch, Fang Fang   +21 more
wiley   +1 more source