Results 131 to 140 of about 10,543,697 (281)

Upper Cervical Cord Area as a Biomarker of Conversion to Secondary Progressive Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study assessed whether upper cervical cord area (UCCA) measured on routine brain MRI can serve as a biomarker of conversion to SPMS. Methods This is a single‐center retrospective cohort study of RRMS patients with cross‐sectional and longitudinal analyses of clinical and MRI data. Future SPMS converters were matched by age, sex,
Nabil K. El Ayoubi   +8 more
wiley   +1 more source

AI-Based Facial Emotion Analysis for Early and Differential Diagnosis of Dementia

open access: yesBioengineering
Early and differential diagnosis of dementia is essential for timely and targeted care. This study investigated the feasibility of using an artificial intelligence (AI)-based system to discriminate between different stages and etiologies of dementia by ...
Letizia Bergamasco   +5 more
doaj   +1 more source

Effects of Add‐On Icosapent Ethyl With Standard Treatment on Functional Outcomes and Inflammatory Biomarkers in Acute Ischemic Stroke: A Blinded Randomized Controlled Trial

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Ischemic stroke, a major cause of mortality and long‐term disability, results from the abrupt cessation of cerebral blood flow due to vascular occlusion or rupture. Icosapent Ethyl (EPA‐EE), approved for hypertriglyceridemia, has anti‐inflammatory and antithrombotic properties that may lessen ischemic damage.
Mitra Mahmoudi Meymand   +5 more
wiley   +1 more source

Alarm information in fault diagnosis

open access: yes
The presentation of alarm information is not always compatible with the response required by the operator. It was therefore considered necessary to find out what operators do with alarm information.
Stanton, Neville A.
core   +1 more source

Advances in Cognitive Diagnosis Modeling

open access: yes, 2018
Esta tesis tiene embargado el acceso al texto completo hasta el 27-10 ...
openaire   +1 more source

The Multiple Sclerosis Severity Allele rs10191329A and Cognitive Function: A UK Biobank Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The genome‐wide association study of Multiple Sclerosis severity linked the genetic variant rs10191329A to long‐term disability and implicated brain resilience as a determinant of outcome. We hypothesised that rs10191329A might influence cognition in other neurological diseases and healthy controls.
Ioanna Zimianiti   +5 more
wiley   +1 more source

Investigating the amyloid–tau–neurodegeneration framework in Alzheimer's disease using semi‐supervised multimodal imaging data fusion

open access: yesAlzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring
INTRODUCTION Alzheimer's disease (AD) heterogeneity complicates diagnosis and prognosis. Uncovering amyloid–tau–neurodegeneration (A–T–N) patterns may improve diagnostic prediction.
You Cheng   +6 more
doaj   +1 more source

Factors Associated With the Rising Trend in Self‐Reported Cognitive Disability Among U.S. Adults Aged 18–39 From 2013–2024

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Building on our prior Behavioral Risk Factor Surveillance System analysis identifying adults aged 18–39 as the primary driver of the national increase in self‐reported cognitive disability, we examined factors associated with this rise using 2013–2024 U.S. BRFSS data. Methods We analyzed U.S.
Adam de Havenon   +9 more
wiley   +1 more source

EEG recordings during visuo‐attentive task reduce sex bias in Alzheimer's disease diagnosis

open access: yesAlzheimer’s & Dementia: Translational Research & Clinical Interventions
INTRODUCTION Pathological cognitive decline affects roughly 15% of older adults, presenting relevant sex differences, being a stronger predictor of Alzheimer's disease in females.
Lorenzo Gaetano Amato   +10 more
doaj   +1 more source

Evaluating the Effectiveness of Machine Learning for Alzheimer’s Disease Prediction Using Applied Explainability

open access: yesBiophysica
Early and accurate diagnosis of Alzheimer’s disease (AD) is critical for patient outcomes yet presents a significant clinical challenge. This study evaluates the effectiveness of four machine learning models—Logistic Regression, Random Forest, Support ...
Chih-Hao Huang   +2 more
doaj   +1 more source

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