From Obesity Drug Design to System Design: Pairing GLP-1s With Metabolic AI Digital Twins
This month, Viking Therapeutics says it has finished enrolling the Phase 3 VANQUISH-1 trial for its injectable obesity drug VK2735, plans to move an oral VK2735 into Phase 3 and intends to file an IND for a new amylin-agonist obesity program.
WIRED also profiles Twin Health, a Silicon Valley startup that combines wearable sensors (such as CGMs, smart scales, BP cuffs and fitness trackers) with an AI digital twin model of a person’s metabolism to deliver real-time, personalized food/activity recommendations and optional human coaching thereby positioning it as a lower-cost alternative or complement to GLP-1 drugs for diabetes and obesity management. It highlights early evidence suggesting participants using the program achieved better A1C targets with fewer medications and meaningful weight loss, while also noting privacy/invasiveness concerns and the reality that lifestyle-change programs won’t fit everyone.
AI digital twins could complement a GLP-1 company by continuously personalizing diet, activity and dosing-support around each patient's real-world response thus helping sustain weight loss, reduce side effects and drop-off and generate post-market evidence that improves outcomes and insurance or product payer value.
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