INGR has established an open innovation network that uses big data and artificial intelligence to predict the target functions of plant-derived natural ingredients and verify them through multiple omics analysis.
AI-based functional prediction technology analyzes the ranking of phenotypes that plant-derived natural ingredients can affect using natural product big data and builds functional predictions of natural ingredients based on human phenotype ontology.
Through an open innovation network, INGR maps biochemical and omix data obtained through animal testing to a human virtual cell model to analyze the network path between plant-derived natural ingredients and target phenotypes.