AI could predict when prostate cancer becomes resistant to treatment
NCT ID NCT07376057
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study tests an artificial intelligence (AI) model that uses images from prostate biopsies to predict when prostate cancer will become resistant to hormone therapy. Researchers will enroll 150 patients with intermediate- to high-risk prostate cancer who are starting hormone therapy. The AI analyzes digitized biopsy slides and predicts whether resistance will occur within 12 months, between 12 and 24 months, or after 24 months. The goal is to see how well the AI's predictions match what actually happens.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
Artificial intelligence (AI) model analyzing biopsy images
What this could lead to
If successful, this AI tool could help doctors personalize treatment plans by predicting how long hormone therapy will work for each patient.
What could go wrong
This is a small, early-stage validation study. The AI model may not be accurate enough for real-world use, and results may not apply to all patients.
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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Sun Yat-sen Memorial Hospital of Sun Yat-sen University
Guangzhou, Guangdong, 510120, China
Contact Phone: •••-•••-•••• Email: •••••@•••••