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Transcriptome-driven Health-status Transversal-predictors
In this episode of the APS Publications Podcast, Dr. Ralph Rühl discusses his team’s new article in Physiological Genomics, “Transcriptome-driven Health-status Transversal-predictor Analysis for health, food, microbiome and disease markers for understanding of lifestyle diseases.” The article outlines the development of a novel artificial intelligence approach based on machine-learning to predict general health and food-intake parameters. This novel technique, which is based on PBMC transcriptomics from human blood, can predict a wide range of health-related markers.
Todt T, van Bussel I…
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