AI could spot rare fabry disease from hospital records
NCT ID NCT05106764
First seen Nov 01, 2025
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.
Disclaimer
Read more
Show less
This is a summary of
the original study
.
Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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.
Genom att skicka in godkänner du våra Användarvillkor
Contacts and locations
Show contact details
Enter your email to view the contact information for this study.
Genom att skicka in godkänner du våra Användarvillkor
Locations
-
Universitätsklinikum Erlangen Kinder- und Jugendklinik
Erlangen, 91054, Germany
-
Universitätsklinikum Erlangen Neurologische Klinik
Erlangen, 91054, Germany
-
Universitätsklinikum Giessen
Giessen, 35389, Germany
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.
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.