AI reads scans and genes to predict lung cancer drug success
NCT ID NCT07287904
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study uses artificial intelligence to analyze CT scans, pathology slides, and genetic reports from 1,000 lung cancer patients with EGFR mutations. The goal is to build a model that predicts how well targeted therapy will work after surgery. If successful, it could help doctors choose the best treatment for each patient.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
What this could lead to
If successful, this AI model could help doctors better predict which lung cancer patients will benefit most from targeted therapy, leading to more personalized treatment.
What could go wrong
This is a retrospective study, meaning it looks back at past data, not a prospective trial. The AI model may not work as well in real-world settings or on new patients.
Disclaimer
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This is a summary of
the original study
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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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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.
Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
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Contact
Email: •••••@•••••
Locations
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Wuhan Union Hospital
Wuhan, Hubei, 430022, China
Contact Phone: •••-•••-•••• Email: •••••@•••••