AI model may personalize liver cancer care after surgery
NCT ID NCT07562763
First seen May 04, 2026 · Last updated Jun 22, 2026 · Updated 11 times
Summary
This study analyzed data from 1005 liver cancer patients to see who benefits from a treatment called TACE after surgery. Using machine learning, researchers aimed to predict individual patient outcomes. The goal is to help doctors decide whether to recommend TACE or just monitor the patient.
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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.
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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The First Affiliated Hospital of USTC
Hefei, Anhu, 23000, China
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
transcatheter arterial chemoembolization (TACE)
What this could lead to
If successful, this could help doctors personalize treatment decisions for liver cancer patients after surgery, potentially improving outcomes.
What could go wrong
This is a retrospective analysis, not a controlled trial, so results may not apply to all patients. The model needs further validation before clinical use.
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.