Smartwatch data + hearing test could spot disease risk years early

NCT ID NCT07541547

Recruiting now Knowledge-focused Sponsor: National Health Research Institutes, Taiwan Source: ClinicalTrials.gov ↗

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study is building a computer model to predict chronic disease risk in adults. Researchers will collect data from 1,500 people in Taiwan using smartwatches (for heart rate and activity), hearing tests, questionnaires, and medical records. The goal is to see if combining these different types of information can better identify who is at higher risk for future illness, compared to using any single source alone.

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 tool that helps doctors identify people at higher risk for chronic diseases earlier, using everyday data from wearables and simple hearing tests.
What could go wrong: This is an early-stage observational study, not a treatment trial. The model may not be accurate enough for real-world use, and results may not apply to people outside Taiwan.

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.

Chronic Disease

As listed by the trial registrant

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

CHRONIC DISEASE RISK ASSESSMENT

Contacts and locations

Locations

National Health Research Institutes
RECRUITING

Zhunan, Miaoli, 350, Taiwan

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