•1,500+ Traits Data (genotype-phenotype)
•400+ Commercially Available Predisposition Assessments
•5000+ Pharmacogenomics Traits
•28,000+ Clinical Studies Integrated
•70,000+ ingredient-gene interactions
•Training dataset of 530,000+ genotype-phenotypes
• Predictive accuracies of up to 90% based on combination of genetic and no –genetic risk markers
•Machine learning and polygenic c
computational engines
• AI-powered recommenders for nutrition, fitness, sleep, stress management, and health interventions.
• US Patents: 16/041,810(Core), 63241852 (Nutrition/Maternal), 62793426 (Skin)
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