New AI platform tracks cancer treatment responses in tumor organoids

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Researchers at UCLA Health have built an AI-powered platform that combines 3D bioprinting, imaging, and machine learning to track how tumor organoids respond to cancer drugs. The system measures drug effects at single-organoid resolution across thousands of samples, which helps reveal rare resistant populations and tumor heterogeneity. It could speed up therapy screening and support more personalized treatment decisions using a patient's own tumor cells. The work is positioned as a research and clinical-enablement advance rather than a commercial software release.

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