AI-powered tool to predict breast cancer recurrence aims to improve treatment outcomes

Researchers have developed an AI-based tool to predict the recurrence of breast cancer. It integrates tissue slide images with patients' clinical data and has achieved high accuracy in classifying the likelihood of recurrence, especially in challenging cases such as triple-negative breast cancer. The tool provides results within hours and reduces costs, although further clinical trials are necessary to ensure its effectiveness and to enhance personalized treatment options.

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