AI could help personalize treatment for autoimmune hepatitis patients
NCT ID NCT07378202
First seen Feb 01, 2026 · Last updated May 15, 2026 · Updated 13 times
Summary
This study aims to develop computer models that can predict how well a person with autoimmune hepatitis will respond to treatment. Researchers will analyze data from 5,000 patients to find patterns that help forecast treatment success at 6 and 12 months. The goal is to help doctors tailor therapies earlier and improve outcomes.
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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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Else Kroener Fresenius Center for Digital Health, Technical University Dresden
Dresden, Germany
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Hannover Medical School
Hanover, 30625, Germany
Conditions
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