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

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

GC–MS analysis, molecular docking, and pharmacokinetic studies on Dalbergia sissoo barks extracts for compounds with anti-diabetic potential

The North Pacific Eukaryotic Gene Catalog of metatranscriptome assemblies and annotations

Impact of arterial system alterations due to amputation on arterial stiffness and hemodynamics: a numerical study

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Impact of arterial system alterations due to amputation on arterial stiffness and hemodynamics: a numerical study

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Acetylides from Alkynes, and The Substitution Reactions of Acetylides

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

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

GC–MS analysis, molecular docking, and pharmacokinetic studies on Dalbergia sissoo barks extracts for compounds with anti-diabetic potential

The North Pacific Eukaryotic Gene Catalog of metatranscriptome assemblies and annotations

Impact of arterial system alterations due to amputation on arterial stiffness and hemodynamics: a numerical study

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

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

GC–MS analysis, molecular docking, and pharmacokinetic studies on Dalbergia sissoo barks extracts for compounds with anti-diabetic potential

The North Pacific Eukaryotic Gene Catalog of metatranscriptome assemblies and annotations

Impact of arterial system alterations due to amputation on arterial stiffness and hemodynamics: a numerical study

Prevention Strategy

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

1_healthytip - 23 October 2024

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

1_healthytip - 23 October 2024

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...

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

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

GC–MS analysis, molecular docking, and pharmacokinetic studies on Dalbergia sissoo barks extracts for compounds with anti-diabetic potential