AI model aims to predict breast cancer therapy success
NCT ID NCT07671690
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study will develop and test an AI model that combines MRI, ultrasound, digital pathology, and patient data to predict how well breast cancer responds to neoadjuvant therapy. Researchers will analyze data from 1,800 participants across multiple centers. The goal is to help doctors identify patients who may benefit from more or less aggressive treatment.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
multimodal deep learning model (MRI, ultrasound, digital pathology, clinical data)
What this could lead to
If successful, this could help doctors personalize breast cancer treatment by predicting which patients will respond well to neoadjuvant therapy, potentially reducing unnecessary side effects.
What could go wrong
This is an early-stage model validation study, not a treatment trial. The model may not be accurate enough for routine use, and results may not apply to all breast cancer patients.
Disclaimer
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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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