AI could spot rare fabry disease from hospital records

NCT ID NCT05106764

Completed Knowledge-focused Sponsor: Takeda Source: ClinicalTrials.gov ↗

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

Summary

This study aims to develop a computer algorithm that can detect Fabry disease earlier by analyzing hospital electronic health records. Researchers will look at data from the past 10 years to see if they can identify patients with Fabry disease using a ranking system. No drugs or devices are being tested. The goal is to create a tool that helps doctors diagnose this rare condition sooner.

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 spot Fabry disease earlier, potentially improving patient outcomes.
What could go wrong: This is a retrospective data analysis, not a clinical trial testing a treatment. The algorithm may not work well in other hospitals or real-world settings.

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

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for FABRY DISEASE are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

Conditions

The condition(s) this trial relates to.

Fabry disease

As listed by the trial registrant

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

FABRY DISEASE

Contacts and locations

Locations

Universitätsklinikum Erlangen Kinder- und Jugendklinik

Erlangen, 91054, Germany
Universitätsklinikum Erlangen Neurologische Klinik

Erlangen, 91054, Germany
Universitätsklinikum Giessen

Giessen, 35389, Germany

More trials for these conditions

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