Verge Senior Reviewer Uses AI Digital Twin for Metabolic Guidance via Twin Health

Victoria Song has been using the Twin Health digital twin program for about 100 days, feeding it metabolic data from a smart scale, continuous glucose monitor (CGM), and other inputs to predict how different foods will affect her glucose levels using a red, orange, or green coding system. This technology creates a virtual model of a person, which theoretically allows clinicians to test treatments on the twin to personalize medicine, assess injury risk, and predict disease progression. Currently, this service is experimental, requires 90 days of Dexcom G7 CGM data to build, and is only accessible through corporate or private health plans, typically targeting individuals with chronic metabolic issues.