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An enhanced deep learning method for the quantification of epicardial adipose tissue

Study populationIn this study, 108 patients aged between 48 and 70 years (mean age ± standard deviation: 60.1 years ± 6.0; 62 of 108 were men) undergoing routine CCTA scans...

Microbiome-based correction for random errors in nutrient profiles derived from self-reported dietary assessments

Overview of METRICWe aim to infer the true nutrient profile based on the assessed one and the measured gut microbial composition. A naive way to do this...

METASPACE-ML: Context-specific metabolite annotation for imaging mass spectrometry using machine learning

Metadata curation of public datasetsIn order to better classify and contextualize the datasets for selection, existing metadata fields and additional classifications were introduced. First, the metadata of...

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Spatial distribution of active compounds in stratum corneum—partitioning between corneocytes and lipid matrix

3D distribution of endogenous skin componentsSpatial distributions of endogenous molecular components and active compounds were determined by 3D ToF–SIMS analysis of tape strip samples...

Doping and the p-n Junction

Core ConceptsIn this article, you will learn about the chemical and physical principles underlying semiconductors, using LEDs as a case study. You will also...

Qun Zhang & Xincheng Li on Genetic Diversity: The Hidden Key to Salt Marsh Restoration

Picture yourself walking along a coastal salt marsh. The squishy mud beneath your feet, the chorus of bird calls, and the distant shimmer of...

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