Results 221 to 230 of about 251,815 (286)
The amplitude-amplitude cross-frequency coupling method: a step-by-step guide to quantifying physiological network interactions. [PDF]
Garcia-Retortillo S +3 more
europepmc +1 more source
Phenotype Classification of Intact Cells by NMR Spectroscopy through Machine Learning Approaches. [PDF]
Mengucci C +8 more
europepmc +1 more source
Objective Knee osteoarthritis (OA) commonly affects individuals with type 2 diabetes (T2DM) and is associated with increased risk of diabetes‐related complications. To better understand potential mechanisms, we examined the association between symptomatic knee OA and glycemic control in individuals with T2DM.
Lauren K. King +10 more
wiley +1 more source
Rapid and Accurate ED-XRF Quantification of Trace Arsenic in Rice-Based Foods Employing ANNs to Resolve Lead Spectral Interference. [PDF]
Carroll M, Gao Z, He L.
europepmc +1 more source
Machine learning-assisted single-cell Raman imaging for rapid, sensitive detection and intracellular mapping of carotenoids in plant cell cultures. [PDF]
Rebelo BA +4 more
europepmc +1 more source
Objective We aimed to estimate the prevalence and cumulative incidence of hydroxychloroquine retinopathy (HCQ‐R) and its risk factors among patients receiving long‐term HCQ with rheumatic diseases through a systematic review and meta‐analysis of observational studies that used spectral‐domain optical coherence tomography (SD‐OCT) for screening ...
Narsis Daftarian +4 more
wiley +1 more source
Novel photonic crystal fibre for low-noise coherent supercontinuum generation. [PDF]
Morel R +13 more
europepmc +1 more source
Objective Cam morphology, which is a significant risk factor for hip osteoarthritis, is commonly quantified by the alpha angle (AA). This study aims to explore the potential of the triangular index ratio (TIR) to quantify cam morphology on anteroposterior radiographs by assessing the association between TIR‐defined cam morphology and the development of
Jinchi Tang +7 more
wiley +1 more source
Single-breath-hold 3D abdominal metabolic MRI enables label-free diagnosis of liver cancer. [PDF]
Liu C +10 more
europepmc +1 more source

