AI could help doctors catch rare disease sooner
NCT ID NCT05106764
First seen Nov 01, 2025 · Last updated May 20, 2026 · Updated 26 times
Summary
This study aimed to find a better way to detect Fabry disease early by using computer programs that analyze hospital records from the last 10 years. Researchers looked at data from 50 patients to develop and test an algorithm that ranks people by how likely they are to have the disease. No drugs or devices were tested—only existing health records were used. The goal is to help doctors identify undiagnosed cases faster.
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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.
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Contacts and locations
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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
Conditions
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