Results 221 to 230 of about 662,113 (303)

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

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, Desiree Latella, Lilla Bonanno, Paulo Cezar Rocha dos Santos, Marcos Maldonado‐Díaz, Meir Plotnik, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò   +8 more
wiley   +1 more source

Investigation and application of data balancing and combined discriminant model in rock burst severity prediction. [PDF]

Sci Rep
Yan S, Liu R, Zhang Y, Yao X, Yang Y, Wang Q, Guo B, Wang S.   +7 more
europepmc   +1 more source

Influenza Vaccination Responses in Disabled Stroke Patients: A Single‐Center Prospective Observational Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study aimed to investigate the immunological response to influenza vaccination, the incidence and severity of influenza infection, and the side effects of the vaccination in patients with ischemic stroke. Methods This prospective observational study was conducted between 2023 and 2024 at Ramathibodi Hospital.
Achiraya Pakngao, Sureerat Suwatcharangoon, Pintip Ngamjanyapron, Kobporn Boonnak, Thanitta Suangtamai, Porpon Rotjanapan   +5 more
wiley   +1 more source

A Machine Learning-Based Web Tool for the Severity Prediction of COVID-19. [PDF]

BioTech (Basel)
Christodoulou A, Katsarou MS, Emmanouil C, Gavrielatos M, Georgiou D, Tsolakou A, Papasavva M, Economou V, Nanou V, Nikolopoulos I, Daganou M, Argyraki A, Stefanidis E, Metaxas G, Panagiotou E, Michalopoulos I, Drakoulis N.   +16 more
europepmc   +1 more source

Dimethyl Fumarate, But Not Rituximab, Reduces Serum GFAP Levels and PIRMA in Relapsing–Remitting MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Serum neurofilament light chain (sNfL) and glial fibrillary acidic protein (sGFAP) levels are believed to reflect mainly acute and chronic disease processes in multiple sclerosis (MS), respectively. In this study, we investigated whether dimethyl fumarate (DMF) and rituximab (RTX) differentially affect these biomarkers.
F. Shawket, J. Lycke, J. Salzer, F. Piehl, K. Fink, N. Lange, J. Mellergård, C. Malmeström, P. Sundström, I. Erngren, A. al‐Grety, E. Freyhult, K. Kultima, J. Burman, A. Svenningsson   +14 more
wiley   +1 more source

Optimizing knee osteoarthritis severity prediction on MRI images using deep stacking ensemble technique. [PDF]

Sci Rep
Panwar P, Chaurasia S, Gangrade J, Bilandi A, Pruthviraja D.   +4 more
europepmc   +1 more source

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani, Emmanuel Barbeau, Béatrice Lemesle, Emilie Milongo‐Rigal, Sophie Fernandez, Sandrine Charpentier, Jean‐François Albucher, Nicolas Raposo, Fabrice Bonneville, Patrice Péran, Jérémie Pariente   +10 more
wiley   +1 more source

SugarViT-Multi-objective regression of UAV images with Vision Transformers and Deep Label Distribution Learning demonstrated on disease severity prediction in sugar beet. [PDF]

PLoS One
Günder M, Yamati FRI, Barreto A, Mahlein AK, Sifa R, Bauckhage C.   +5 more
europepmc   +1 more source

Comprehensive Assessment of Arterial, Tissue, and Venous Collaterals for Evaluating the Infarct Growth Rate: The Multimodal Collateral Score

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Collaterals are crucial factors that influence the infarct growth rate (IGR). We aimed to determine whether a comprehensive multimodal collateral score (MCS), incorporating collateral assessment at the arterial, tissue, and venous levels, is associated with functional independence and provides incremental prognostic value over ...
Giorgio Busto, Umberto Pensato, Ilaria Casetta, Giorgio U. Marcello, Angelo Barra, Anna Poggesi, Edoardo Carlesi, Sara Mancini, Andrea Ginestroni, Vittorio Miele, Alessandro Padovani, Andrea Morotti, Enrico Fainardi   +12 more
wiley   +1 more source

Human-AI collaboration for prehospital trauma triage: Designing the On Scene Injury Severity Prediction (OSISP) model as a clinical decision support system. [PDF]

Digit Health
Bakidou A, Andersson Hagiwara M, Lee E, Caragounis EC, Sjöqvist BA, Seth M, Jonsson A, Candefjord S.   +7 more
europepmc   +1 more source