Twin health - Backup as a Service Tool

Twin health

Twin health

Founded by Jahangir Mohammed in 2018

Manage metabolic conditions like diabetes using AI body modeling and personalized guidance

Cost

Demo

Rating

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Time to value

Moderate Setup (1-3 hours)

You can use Twin Health to address metabolic conditions like type 2 diabetes, prediabetes, and obesity through a personalized AI model of your body's metabolism. The tool collects data from wearable sensors to give daily recommendations on food, sleep, activity, and stress. Members get access to a clinical care team including coaches and providers. The program aims to normalize blood sugar, reduce or eliminate medications like insulin and GLP-1 drugs, and support sustained weight loss through lifestyle changes rather than medication alone.

What Twin health does

Track daily blood sugar response to specific foods using continuous glucose monitorsReceive personalized meal, activity, and sleep recommendations based on metabolic dataConnect with a personal care team of coaches and clinical providersMonitor progress toward reducing or stopping diabetes medicationsLog and review body metrics to understand metabolism patterns over timeSet and track weight loss goals with ongoing clinical supportReview clinical outcome data to measure improvements in A1C and other markersAccess employer or health plan enrollment to start the metabolic health programCreates a real-time AI model of each member's unique metabolism using sensor dataGives daily personalized guidance on food, sleep, activity, and stressTracks progress toward reducing or eliminating diabetes medications including insulin and GLP-1sProvides a personal clinical care team including coaches and medical providersUses continuous glucose monitoring to show how specific foods affect blood sugarCovers multiple metabolic conditions: type 2 diabetes, prediabetes, obesity, hypertensionOutcomes backed by studies published in NEJM Catalyst, The Lancet, and NatureOffered as an employer benefit or health plan program with all-fees-at-risk model

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