Your phone could help monitor a rare muscle disease

NCT ID NCT06743490

Recruiting now Knowledge-focused Sponsor: Leiden University Medical Center Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jul 09, 2026 · Updated 3 times

Summary

This study will use smartphone recordings of speech, eye movements, and arm fatigue to measure key symptoms of myasthenia gravis, a condition that causes muscle weakness. Researchers will compare 225 participants (both with and without MG) to see if machine learning can accurately detect and track symptoms. The goal is to develop a simple, remote monitoring tool for patients.

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 simple smartphone-based tool to track MG symptoms remotely, helping doctors monitor disease progression more easily.
What could go wrong: This is an early observational study, not a treatment trial. The machine learning algorithms may not accurately distinguish MG patients from healthy people, and results may not apply to all patients.

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.

Dysarthria Fatigue myasthenia gravis ptosis spasmodic dystonia

As listed by the trial registrant

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

FATIGUE MYASTHENIA GRAVIS

Contacts and locations

Locations

Leiden University Medical Center
NOT_YET_RECRUITING

Leiden, South Holland, 2333 ZA, Netherlands
Leiden University Medical Center
RECRUITING

Leiden, Netherlands

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