Reporter Spends 100 Days Testing Twin Health's AI Metabolic Digital Twin
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The Verge's senior reviewer Victoria Song spent about 100 days continuously experiencing Twin Health's AI digital twin service. The service combines data from a Dexcom G7 continuous glucose monitor, using AI to predict her blood sugar responses to different foods. The service is not publicly available for download and can only be accessed through employers or private health plans, mainly targeting people with chronic metabolic issues; users must continuously upload body composition, blood pressure, and other data to feed their digital twin. During the experience, logging fatigue was a common form of feedback for her. After about 100 days of use, she said her behavior had changed somewhat, but neither of her two initial goals—losing weight and reducing medication—was achieved.
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- The Verge · AIMy AI doppelganger tells me what to eat
The Verge senior reviewer Victoria Song spent about 100 days using Twin Health's digital twin service, which combines AI with Dexcom G7 CGM data to predict her blood sugar responses to different foods. The service is not publicly available for download and can only be accessed through employers or private health plans, mainly targeting people with chronic metabolic conditions, and requires continuously uploading body composition, blood pressure and other data to feed the digital twin. She said logging fatigue is a common complaint, and while her behavior changed, her goals of losing weight and reducing medication did not pan out.
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