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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...

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...

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...

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Crocodile ‘fingerprints’ may reveal Australia’s deadly, hidden predators

Australia has a crocodile problem. In the last two decades, attacks have risen sharply after the population exploded. Along with safety messaging, government officials...

Fracking frenzy in India: A water crisis in the making?

India's plans to scale up fracking operations without robust regulations could spell disaster for the country's finely balanced water security, according to research from...

Gas permeability, diffusivity, and solubility in polymers: Simulation-experiment data fusion and multi-task machine learning

Experimental data acquisitionMeasured gas transport properties (permeability, diffusivity, and solubility) for six different gases (CO2, CH4, O2, N2, H2, and He) were obtained from...

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