AI-Created patient data could speed up rare kidney disease research
NCT ID NCT07016282
First seen Nov 01, 2025 · Last updated Apr 30, 2026 · Updated 32 times
Summary
This study looks at whether computer-generated health data can help researchers study autosomal dominant polycystic kidney disease (ADPKD) without needing as many real patients. Researchers will take real medical records from 100 adults with ADPKD and use AI to create fake but realistic datasets. They will then test if these fake datasets can be used to design better clinical trials while protecting patient privacy.
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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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Clinical Research Centre for Rare Diseases Aldo e Cele Daccò
Ranica, BG, 24020, Italy
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Department of Global Public Health (GPH), Karolinska Institutet
Stockholm, 171 77, Sweden
Conditions
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