Supplementary material to: Transcriptome-driven Health-status Transversal-predictor Analysis for health, food, microbiome and disease markers for understanding lifestyle diseases

We have developed a novel artificial intelligence (AI) approach based on machine-learning to predict general health and food-intake parameters. This approach, named Transcriptome-driven Health-status Transversal-predictor Analysis, is relevant for markers of diabesity and is based on a non-transcriptomic, mathematics-driven approach. This “one-method” approach enables the simultaneous monitoring of a large number of health-status variables and may facilitate the monitoring of therapeutic and preventive strategies. This PBMC transcriptomics-based technique from human blood offers prediction of a wide range of health-related markers.