Results 211 to 220 of about 1,612,060 (336)

Quantization-based chained privacy-preserving federated learning. [PDF]

Sci Rep
Liu Y, Wu S, Li Y, Zhao F, Ren Y.
europepmc   +1 more source

SGlycosylation Gene Signatures as Prognostic Biomarkers in Glioblastoma

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glioblastoma (GBM) is an aggressive brain tumor characterized by significant heterogeneity. This study investigates the role of glycosylation‐related genes in GBM subtyping, prognosis, and response to therapy. Methods We analyzed mRNA expression data and clinical information from The Cancer Genome Atlas (TCGA) and Gene Expression ...
Tong Zhao, Hongliang Ge, Chenchao Lin, Xiyue Wu, Jianwu Chen   +4 more
wiley   +1 more source

Editorial: Machine learning and immersive technologies for user-centered digital healthcare innovation. [PDF]

Front Big Data
Colecchia F, Giunchi D, Qin R, Ceccaldi E, Wang F.   +4 more
europepmc   +1 more source

Military Service Roles and ALS Among Veterans: A Matched Case–Control Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT While military service is an established risk factor for amyotrophic lateral sclerosis (ALS), it remains unclear whether this association is linked to combat. We conducted a matched case–control study comparing 191 ALS patients who were veterans of the Israeli Defense Forces (IDF) with known military service type and 1910 matched controls. The
Asaf Honig, Roy Dayan, Amir Knaani, Hagai Levine, Marc Gotkine   +4 more
wiley   +1 more source

Hybrid Deep Learning Framework for Continuous User Authentication Based on Smartphone Sensors. [PDF]

Sensors (Basel)
Alotaibi B, Alotaibi M.
europepmc   +1 more source

EEG Response to Sedation Interruption Complements Behavioral Assessment After Severe Brain Injury

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate assessment of the level of consciousness and potential to recover in patients with severe brain injury underpins crucial decisions in the intensive care unit but remains a major challenge for the clinical team. The neurological wake‐up test is a widely used assessment tool. However, many patients' behavioral responses during
Charlotte Maschke, Loretta Norton, Catherine Duclos, Miriam Han, Kira Dolhan, Geoffrey Laforge, Allison Frantz, Xiaoyu Wang, Hassan Al‐Hayawi, Tianyu Zhang, Raphaël Lavoie, Adrian M. Owen, Stefanie Blain‐Moraes   +12 more
wiley   +1 more source

Understanding & Improving Mental-Imagery Based Brain-Computer Interface (Mi-Bci) User-Training : towards A New Generation Of Reliable, Efficient & Accessible Brain- Computer Interfaces

, 2016
Camille Jeunet
openalex   +1 more source

Evaluating and implementing machine learning models for personalised mobile health app recommendations. [PDF]

PLoS One
Morenigbade H, Al Jaber T, Gordon N, Eke G.   +3 more
europepmc   +1 more source

Pulse Pressure, White Matter Hyperintensities, and Cognition: Mediating Effects Across the Adult Lifespan

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives To investigate whether pulse pressure or mean arterial pressure mediates the relationship between age and white matter hyperintensity load and to examine the mediating effect of white matter hyperintensities on cognition. Methods Demographic information, blood pressure, current medication lists, and Montreal Cognitive Assessment ...
Jade Hannan, Sarah Newman‐Norlund, Natalie Busby, Sarah C. Wilson, Roger Newman‐Norlund, Chris Rorden, Julius Fridriksson, Leonardo Bonilha, Nicholas Riccardi   +8 more
wiley   +1 more source

ENHANCING NEUROFEEDBACK TRAINING USING P300-BASED BRAIN-COMPUTER INTERFACES: A USER ACCEPTABILITY STUDY

IBRO Neuroscience Reports, 2023
Eva Woods, Sandra Noble, Tomás Ward, John Ringwood   +3 more
doaj