Results 231 to 240 of about 2,388,925 (316)
CD44-Hyaluronan-Dependent Monocyte Rolling. [PDF]
Hubbe M, Eibl RH.
europepmc +1 more source
Objective Elevated C‐reactive protein (CRP) levels in systemic sclerosis (SSc) have been linked with severe disease and worse survival, but the role of platelet levels remains unclear. This study examined whether elevated platelet levels, CRP levels, or both are associated with disease severity, progression, and survival in SSc.
Brian S. Lee +4 more
wiley +1 more source
The Impact of Different Isolation Methods on Extracellular Vesicle Yield and Composition in human Breast Milk: A Pilot Study. [PDF]
Liu F +10 more
europepmc +1 more source
Objective Systemic sclerosis (SSc) is characterized by cardiovascular risk excess not fully explained by traditional factors. Whether the severity of microvascular damage correlates with structural subclinical atherosclerosis remains unclear. We investigated the relationship between nailfold videocapillaroscopy (NVC) abnormalities and carotid ...
Eugenio Capparelli +13 more
wiley +1 more source
Area-Selective Atomic Layer Deposition for Next-Generation Semiconductor Processing: Mechanisms of Selectivity Breakdown and Process Integration Strategies. [PDF]
Park Y, Kim S, Shin J, Park E, Pyo SG.
europepmc +1 more source
Objective The aim of this study was to characterize the prevalence and correlates of dietary supplement use, identify commonly used supplements, and evaluate potential supplement–medication interactions among adults with systemic lupus erythematosus (SLE).
Sarah L. Patterson +7 more
wiley +1 more source
Objective High body mass index (BMI ≥ 27 kg/m2) and aberrant gait biomechanics are primary risk factors for knee osteoarthritis (KOA), yet the specific loading patterns linked to clinical disease features remain unclear. Unsupervised machine learning (ML) was used to identify vertical ground reaction force (vGRF) waveform modes of variation and ...
Ashley N. Buck +10 more
wiley +1 more source
SNIPSNP: precision design of CRISPR/Cas9 knock-in reagents for variant correction and disease modeling. [PDF]
Labun K +5 more
europepmc +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source

