
What happened
Abbott and Google announced a multi-year partnership linking Abbott's Lingo continuous glucose monitor (a wearable that tracks blood sugar) with Google Health's AI technology. Lingo data will integrate into the Google Health app alongside other health metrics, and Google Health Coach will deliver personalized recommendations based on glucose insights and daily habits.
Why it matters
Over 115 million American adults have prediabetes, with approximately 8 in 10 unaware they have it. The partnership aims to help people understand how food, movement, sleep, and stress affect their glucose and metabolic health before conditions develop—turning real-time glucose data into actionable, personalized guidance at scale.
What to watch
Lingo integrations will roll out in the Google Health app later this year. Google Health Coach requires a Google Health Premium subscription. Lingo is available in the U.S. and the U.K., and can be purchased at hellolingo.com, Amazon, Walmart, Walgreens, BestBuy.com, and Publix. The partnership includes one of the largest real-world metabolic health studies to inform future AI-powered features.
Summaries like this, in your inbox every morning.
Metabolic health challenges are rising globally, with prediabetes affecting over 115 million American adults—yet approximately 8 in 10 of those affected are completely unaware they have the condition. Abbott's Lingo has positioned itself as an over-the-counter continuous glucose monitor (CGM) that helps people without diabetes understand how everyday factors—nutrition, activity, sleep, and stress—influence their glucose levels and overall well-being. Google Health has built AI-powered coaching capabilities and a consumer health platform. By combining Abbott's real-time glucose data collection with Google's AI and user experience expertise, the partnership creates a more complete metabolic health picture that can feed personalized guidance directly into users' daily routines.
The collaboration operates on three fronts: first, integrating Lingo glucose data into Google Health so users see glucose trends alongside other health metrics; second, using Google Health Coach to deliver personalized recommendations based on those insights; and third, running one of the largest real-world metabolic health studies to date, gathering continuous glucose, wearable, laboratory, and survey data to uncover links between activity, sleep, well-being, and metabolic health. That research will inform future AI-powered guidance and product features. For Abbott and Google, the partnership represents a bet that preventive, personalized metabolic insights—delivered at scale through consumer technology—can help people avoid or delay chronic conditions like Type 2 diabetes, cardiovascular disease, and certain cancers.
Pick your industry and the AI tools you use, and get news related to your work every day.
Free · 30 seconds with Google · unsubscribe anytimeWhat is AIToday? →
Ask AI anything about this article. The AI reads this article, earlier AIToday articles, and Wikipedia, and cites its sources. Q&As are published on this page for other readers too.
Chunghwa Telecom president Rong-shy Lin said the shift from conversational AI to autonomous AI agents is resha…

Apple and Meta said they would jointly release a new open-weight AI model designed to run on high-end Macs, ai…

A writer and entrepreneur opened his daily to-do list and found 156 items, and concluded that an AI assistant…

A Zenn contributor sorted AI use into three modes — AI as an assistant, AI running alongside people, and AI th…

A non-engineer operator says one person ships four smartphone apps on Google Play, three on the App Store, wit…

The walkthrough points the CLI at a local mock via the ANTHROPIC_BASE_URL environment variable
