Results 161 to 170 of about 954,644 (280)

Exploratory Analysis of ELP1 Expression in Whole Blood From Patients With Familial Dysautonomia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Familial dysautonomia (FD) is a hereditary neurodevelopmental disorder caused by aberrant splicing of the ELP1 gene, leading to a tissue‐specific reduction in ELP1 protein expression. Preclinical models indicate that increasing ELP1 levels can mitigate disease manifestations.
Alejandra González‐Duarte, Lucy Norcliffe‐Kaufmann, Maria Luisa Cotrina, Zenith Khan, Kaia Dalamo, Patricio Millar Vernetti, Matthew Lawless, Elisabetta Morini, Monica Salani, Marla Weetall, Jana Narasimhan, Agostino G. Rocha, Susan A. Slaugenhaupt, Horacio Kaufmann   +13 more
wiley   +1 more source

Dynamic frame-by-frame motion correction for ¹⁸F-flurpiridaz PET-MPI using convolution neural network. [PDF]

Eur J Nucl Med Mol Imaging
Urs M, Killekar A, Builoff V, Lemley M, Wei CC, Ramirez G, Kavanagh P, Buckley C, Slomka PJ.   +8 more
europepmc   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

Real-time deep learning-based image guiding and automated left ventricular measurements to reduce test-retest variability. [PDF]

Open Heart
Pettersen H, Sabo S, Pasdeloup D, Smistad E, Olaisen S, Østvik A, Stølen S, Grenne BL, Løvstakken L, Dalen H, Holte E.   +10 more
europepmc   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Reliability of minimally trained operator's left ventricular outflow tract velocity-time integral measurement guided by artificial intelligence: protocol for a multicentre randomised controlled trial. [PDF]

BMJ Open
Levy N, Meslin S, Barthélémy R, Benremily F, Bourgeois C, Bourzeix P, Chousterman B, Djadi-Prat J, Ep A, Kezar A, Laidet C, Lanoy E, Léopold V, Pereira H, Plateker O, Rivoalen AS, de Roquetaillade C, Vignon P, Bruno J, Cholley B.   +19 more
europepmc   +1 more source

Olink Proteomics Analysis Reveals Heterogeneous Responses to FcRn Blockade in Anti‐AChR Antibody‐Positive Myasthenia Gravis: FGF‐19 as a Novel Biomarker

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study aimed to systematically observe the clinical manifestations, immune cell subsets, and dynamic changes in serological indicators in patients with myasthenia gravis (MG) before and after efgartigimod (EFG) treatment. Methods We analyzed the baseline data, laboratory parameters, and lymphocyte subset proportions in MG ...
Tiancheng Luo, Deyou Peng, Zhouao Zhang, Mingjin Yang, Xinyan Guo, Tianyu Ma, Xiaoyu Huang, Mingming Xu, Linlin Fu, Yong Zhang   +9 more
wiley   +1 more source

Association of Corticospinal Tract Asymmetry With Ambulatory Ability After Intracerebral Hemorrhage

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Ambulatory ability after intracerebral hemorrhage (ICH) is important to patients. We tested whether asymmetry between ipsi‐ and contra‐lesional corticospinal tracts (CSTs) assessed by diffusion tensor imaging (DTI) is associated with post‐ICH ambulation.
Yasmin N. Aziz, Carl D. Langefeld, Mary E. Comeau, Miranda C. Marion, Tyler P. Behymer, Lee A. Gilkerson, Padmini Sekar, Weihong Yuan, Vivek Khandwala, Brady J. Williamson, Thomas Maloney, Achala Vagal, Pierce Boyne, Kari Dunning, Matthew L. Flaherty, Steven J. Kittner, Prachi Mehndiratta, Gunjan Y. Parikh, Michael L. James, David Roh, Fernando D. Testai, Farhaan S. Vahidy, James Thornton, Ranjit Bagga, Daniel Woo, Stacie L. Demel   +25 more
wiley   +1 more source

Investigation of a Lyapunov delta-type inequality with respect to a discrete fractional Green's function. [PDF]

Sci Rep
Mohammed PO, Arab M.
europepmc   +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