Smart sensors and AI aim to decode your blood sugar for tailored diet advice

NCT ID NCT07626658

Not yet recruiting Knowledge-focused Sponsor: IMDEA Food Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study uses a wearable glucose sensor and artificial intelligence to understand how healthy adults process sugar. Researchers will track blood sugar patterns for 14 days and link them to diet, activity, and health measures. The goal is to develop personalized nutrition tools that could help prevent type 2 diabetes and other metabolic issues.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: continuous glucose monitor (wearable sensor)
What this could lead to: If successful, this could lead to personalized dietary recommendations based on individual blood sugar patterns, helping to prevent type 2 diabetes and other metabolic diseases.
What could go wrong: This is an observational study that does not test a treatment. The AI algorithm may not accurately predict health outcomes, and results may not apply to everyone.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

glucose intolerance Insulin Resistance prediabetes syndrome

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

ARTIFICIAL INTELLIGENCE MOBILE APPLICATION PREDIABETES (INSULIN RESISTANCE, IMPAIRED GLUCOSE TOLERANCE)

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