AI could spot rare fabry disease from hospital records
NCT ID NCT05106764
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.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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50 people
The number who actually took part.
- Started
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Nov 2023
- Finished
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Dec 2025
- Lead sponsor
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A company
The lead sponsor is a pharmaceutical, biotech, or medical-device company.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Data from all in-patient or out- patient datasets of the participating hospital in the last 10 years will be used to test the forecasting power of the algorithm.
- Ages
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Children (under 18), adults (18 to 64) and older adults (65 and over)
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion criteria: * In-patient or out-patient datasets of the participating hospital in the last 10 years * Participants at any age Positive controls: a subset of all participant hospital records that includes the participants with confirmed FD.
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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.
Contacts and locations
Locations
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Universitätsklinikum Erlangen Kinder- und Jugendklinik
Erlangen, 91054, Germany
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Universitätsklinikum Erlangen Neurologische Klinik
Erlangen, 91054, Germany
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Universitätsklinikum Giessen
Giessen, 35389, Germany
More trials for these conditions
Other studies related to the condition(s) this trial covers.
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