AI creates fake patients to speed up rare disease research
NCT ID NCT07016282
Summary
This study aims to improve clinical trials for a rare genetic kidney disease called ADPKD by using artificial intelligence to create simulated patient data. Researchers will use real medical records from 100 patients to train AI models that generate artificial datasets that mimic real patient characteristics. The goal is to test whether these AI-generated datasets can help design better future trials without compromising patient privacy.
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 AUTOSOMAL DOMINANT POLYCYSTIC KIDNEY DISEASE (ADPKD) are added.
By submitting, you agree to our Terms of use
Contacts and locations
Show contact details
Enter your email to view the contact information for this study.
By submitting, you agree to our Terms of use
Locations
-
Clinical Research Centre for Rare Diseases Aldo e Cele Daccò
Ranica, BG, 24020, Italy
-
Department of Global Public Health (GPH), Karolinska Institutet
Stockholm, 171 77, Sweden
Conditions
Explore the condition pages connected to this study.