AIMC Topic: Sphingomyelins

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Towards quantifying biomarkers for respiratory distress in preterm infants: Machine learning on mid infrared spectroscopy of lipid mixtures.

Talanta Apr 10, 2024
Neonatal respiratory distress syndrome (nRDS) is a challenging condition to diagnose which can lead to delays in receiving appropriate treatment. Mid infrared (IR) spectroscopy is capable of measuring the concentrations of two diagnostic nRDS biomark...
Humans Machine Learning Biomarkers Infant, Newborn Lipids Lecithins Infant, Premature Pulmonary Surfactants Spectrophotometry, Infrared Sphingomyelins Respiratory Distress Syndrome, Newborn
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Machine learning of human plasma lipidomes for obesity estimation in a large population cohort.

PLoS biology Oct 18, 2019
Obesity is associated with changes in the plasma lipids. Although simple lipid quantification is routinely used, plasma lipids are rarely investigated at the level of individual molecules. We aimed at predicting different measures of obesity based on...
Humans Machine Learning Biomarkers Female Male Cohort Studies Body Mass Index Obesity Models, Statistical Adipose Tissue Lipid Metabolism Sex Factors Waist Circumference Lipidomics Waist-Hip Ratio Finland Body Fat Distribution Sphingomyelins
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