A Generative Model Predicts Your Biological Age From Seven Data Types
AURORA combines genome, microbiome, proteome, and other biological layers across more than 425,000 people to estimate your true metabolic age and simulate the effect of an intervention before you actually try it. This is still research, not something you'll be using in ChatGPT tomorrow. But it's the kind of building block that will likely show up in lab tests or health-tracking apps within two or three years.
practitioners › Published in Cell Metabolism on June 2, 2026, covering more than 425,000 individuals and integrating seven omic and phenotypic modalities.
Cell Metabolism →