AI could predict who lives longer after lung cancer immunotherapy
NCT ID NCT07668037
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study looks back at 600 advanced lung cancer patients who received immunotherapy. Researchers will analyze their tissue samples and genetic data to find patterns linked to long-term survival. They aim to build an AI model that can predict survival from standard microscope images, potentially helping doctors personalize treatment.
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 could lead to a tool that helps doctors identify which lung cancer patients are most likely to benefit from immunotherapy, improving treatment decisions.
What could go wrong
This is an observational study, not a treatment trial, so it won't directly help patients. The AI model may not work well in all patient groups or hospitals.
Disclaimer
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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
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Cancer Hospital Chinese Academy of Medical Sciences
RECRUITINGBeijing, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact Phone: •••-•••-•••• Email: •••••@•••••