Your smartwatch could predict blood sugar crashes before they happen

NCT ID NCT07633171

Not yet recruiting Knowledge-focused Sponsor: Johns Hopkins University Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 2 times

Summary

This study will test whether combining continuous glucose monitor (CGM) data with information from a smartwatch and a phone app (like meals and activity) can better predict blood sugar levels in people with type 2 diabetes. Thirty-six adults will wear a CGM and smartwatch and log their meals and exercise for several weeks. The goal is to build a model that gives real-time glucose predictions, but this study only collects data—it does not provide any treatment or recommendations.

What this could mean

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

What this could lead to: If successful, this could lead to a smartphone app that predicts blood sugar changes in real time, helping people with type 2 diabetes manage their condition more easily.
What could go wrong: This is a small, early-stage study (36 people) that only collects data—it does not test a treatment. The model may not work well for everyone, and results may not apply to people outside this specific clinic.

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.

type 2 diabetes mellitus

As listed by the trial registrant

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

TYPE 2 DIABETES

Contacts and locations

Locations

Johns Hopkins Medicine

Baltimore, Maryland, 21287, United States

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Other studies related to the condition(s) this trial covers.