Abbott Glucose Data Is Coming to Google’s Gemini-Powered AI Health Coach

 

Abbott and Google are bringing continuous glucose data into Google’s Gemini-powered health coaching platform, giving AI another source of real-time personal health information.

Under a multiyear partnership, glucose readings from Abbott’s Lingo continuous glucose monitor will be integrated into the Google Health app.

Once the integration becomes available, users will be able to see glucose trends alongside other health and wellness information such as physical activity, sleep, vital signs, and recovery data.

Google’s Health Coach, powered by Gemini, will be able to analyze this information together and provide personalized suggestions related to nutrition, exercise, sleep, and recovery.

Access to the AI-powered Health Coach requires a Google Health Premium subscription.

Gemini gets access to more personal health data

The partnership highlights Google’s growing effort to connect Gemini with increasingly detailed health information.

Google Health Coach can already work with data from compatible wearables, health apps, and connected services. In May, Google also announced that users in the United States could sync certain medical records with the Google Health app, including laboratory results, medication information, and vital signs.

Users can then allow the AI coach to use those records when answering health-related questions or generating summaries.

The Google Health app can also receive information through systems including Health Connect, Apple Health, and Google Health APIs.

Adding Abbott’s Lingo data means Gemini will soon have access to another continuous stream of biometric information: glucose levels throughout the day.

The companies expect the Lingo integration to begin rolling out later this year.

What is Abbott Lingo?

Lingo is an over-the-counter continuous glucose monitoring system designed for adults aged 18 and older who are not using insulin.

The wearable sensor is placed on the back of the upper arm and continuously measures glucose levels in interstitial fluid, which is the fluid surrounding cells beneath the skin.

It does not directly measure glucose from the bloodstream.

The sensor uses an electrochemical process to measure glucose and transmits readings to the Lingo mobile app using Bluetooth Low Energy.

According to US Food and Drug Administration documentation, the app can display real-time glucose readings, trend arrows, and graphs showing how glucose levels change throughout the day.

A Lingo sensor can be worn for up to 14 days.

Unlike some medical glucose-monitoring systems, however, the Lingo app does not provide glucose or system alerts.

Understanding how food and activity affect glucose

Lingo is positioned primarily as a wellness tool.

Users can compare glucose changes with activities such as eating, exercising, sleeping, or moving throughout the day.

The goal is to help people understand how lifestyle choices may influence their glucose response.

The technology is based on Abbott’s FreeStyle Libre platform, which is widely used for glucose monitoring.

However, the two products have different purposes.

FreeStyle Libre 2 is cleared for diabetes management, while Lingo is intended to help adults who do not use insulin better understand how glucose patterns relate to nutrition, physical activity, and daily behavior.

Abbott launched Lingo in the United States without a prescription in 2024. The product is also available in the United Kingdom.

AI health advice comes with an important warning

Although Gemini will be able to analyze increasingly detailed health information, Google says Health Coach is not intended to replace professional medical advice.

The company warns that AI-generated responses may sometimes be inaccurate or incomplete.

Users are encouraged to verify important information and consult qualified healthcare professionals when necessary.

FDA documentation for Lingo also states that users should not make medical treatment decisions solely based on Lingo readings without consulting a healthcare professional.

That distinction becomes increasingly important as generative AI systems gain access to more sensitive and continuous personal health information.

Abbott and Google plan large metabolic health study

The partnership goes beyond simply connecting Lingo with Gemini.

Abbott and Google are also planning a large real-world study focused on metabolic health.

Researchers will combine continuous glucose measurements with information from wearables, laboratory testing, and surveys.

The study will examine how factors such as physical activity, sleep, lifestyle, well-being, and glucose patterns may relate to overall metabolic health.

Abbott and Google said information gathered from the research could be used to improve future versions of Google Health Coach and develop additional features for Lingo.

Google is turning Gemini into a broader health assistant

The Abbott partnership is part of a wider push to expand Gemini into healthcare and wellness services.

Google Health already acts as a central location where users can combine information from multiple devices, apps, and medical-data sources.

Google says users can choose which information they save, enable or disable optional features, export their information, and delete health data.

The company also says Google Health data is not used for Google Ads.

Gemini is also expanding beyond health information analysis.

Zocdoc recently announced that users in the United States can search for healthcare appointments and book providers directly through the Gemini app.

The Zocdoc integration provides real-time appointment availability from a network of more than 200,000 healthcare providers across more than 200 specialties.

Zocdoc described itself as Gemini’s first connected-app partner specifically for healthcare appointment booking.

What this means for AI and healthcare

The Abbott-Google partnership shows where consumer AI health services may be heading.

Instead of answering questions using only information typed by users, AI assistants are increasingly being connected to continuous streams of personal data coming from wearables, medical records, sensors, and health applications.

For Gemini, that could eventually mean understanding not only what a person tells the AI, but also patterns in their sleep, activity, vital signs, medications, laboratory results, and now glucose levels.

The opportunity is significant.

So are the questions surrounding accuracy, privacy, consent, data security, and the limits of AI-generated health advice.

As AI systems become more deeply connected to personal health data, the challenge will not simply be making the AI smarter.

It will be making sure users understand when AI is offering useful wellness guidance and when a real healthcare professional needs to make the call.