Results 131 to 140 of about 234,338 (249)
ABSTRACT Objective To identify inflammatory analytes in cerebrospinal fluid (CSF) and plasma associated with cognitive decline in cognitively normal (CN) older adults at risk for Alzheimer's disease (AD). Methods In a longitudinal study of 118 CN older adults (65–80 years, 54% APOE ε4, 26% preclinical AD), 1331 CSF and 1501 plasma analytes were ...
Jagan A. Pillai +13 more
wiley +1 more source
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
broadinstitute/viral-pipelines: v2.2.4.0
<h2>What's Changed</h2> <h3>New workflows</h3> <ul> <li>Enterics QC visualizations<ul> <li>WDL for creating Enterics Visualizations by @schaluva in #500</li> <li>create generalized version of ...
Aaron Lin +18 more
core +1 more source
Mind the brain age: How segmentation and template selection reshape structural connectomes. [PDF]
Ferritto C +3 more
europepmc +1 more source
Automated Hand Flexor Tendon–Thickness Measurement in Systemic Sclerosis
Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasonography and measured manually, a time‐consuming process prone to interobserver variability.
Mark Greveling +4 more
wiley +1 more source
The planning and financing of international pipelines
SIGLEAvailable from British Library Document Supply Centre- DSC:86/09895(Planning) / BLDSC - British Library Document Supply CentreGBUnited ...
Scientific Surveys Ltd., Beaconsfield (United Kingdom) +1 more
core
Software engineering for reproducible pipeline development in bioinformatics. [PDF]
Pérez-Rodríguez D +5 more
europepmc +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
CleanSurvival: automated data preprocessing for time-to-event models using reinforcement learning. [PDF]
Koka Y +4 more
europepmc +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source

