My AI doppelganger tells me what to eat

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In return for feeding a ‘digital twin’ my metabolic data, it predicts how I’ll react to certain foods — and one day, maybe medicines.
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For the past 100 days or so, my mornings have had a new rhythm. When I wake up, the first thing I have to do is feed my digital twin. It consumes my metabolic data, and its first “meal” of the day is my body composition data, sent straight from a smart scale.Once that’s logged in the app, I scoot over to the kitchen to fill an Owala with lemon water to take my medications with. That, too, gets logged in the app. On Mondays, I’ll follow that up with several calming breaths, measure my blood pressure, and offer that to the digital twin as well. Then it’s time to consider breakfast. I consult my
My digital twin isn’t so much a robotic clone as it is an AI-powered, color-coded food database that predicts how my glucose levels will react to everything I eat. Red is not so good. Orange is so-so. Green is ideal. It’s built based on the data I feed it, as well as data collected from a continuous glucose monitor.
A bowl of protein Cheerios and milk? My digital twin tells me this is orange if eaten alone, but green if I take my daily walk after. So that’s what I decide to eat and do. When that’s all done, I log it in the Twin Health app. In a few hours, the app will generate an insight based on how my glucose reacted, and my “twin” will become more accurate. For now, my twin is fed.
Digital twins are a relatively new concept in physical health, both in medicine and sports. It’s a virtual model of a person built from various data points — labs, wearable data, images, genetic profiles, etc. — that is continuously updated over time. Once built, clinicians can then use AI to see how a patient might react to specific medicines or treatments by first “testing” them out on their digital twin. Theoretically, this could also help healthcare providers assess injury risk, predict disease progression, and implement preventive care while minimizing adverse effects for the actual patie
My metabolic twin was “born” in June with a giant box from Twin Health delivered to my doorstep. Twin Health is a digital twin program to help people “heal” their metabolisms (e.g., lose weight, manage diabetes, sleep better, etc.). It’s not available for widespread download just yet. Digital twins are still experimental, and currently, this service is only accessible through corporate or private health plans. It’s typically aimed at people with chronic metabolic issues. Twin Health provides everything you need to build a digital twin. Building mine would require 90 days’ worth of Dexcom G7 CG
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- In return for feeding a ‘digital twin’ my metabolic data, it predicts how I’ll react to certain foods — and one day, maybe medicines.
- Posts from this author will be added to your daily email digest and your homepage feed.