New AI tool can predict where glioblastoma is most likely to return after initial surgery

Researchers developed an AI tool that analyzes rapid microscopic tissue images to predict where glioblastoma will recur. The model identifies high-risk regions within ten millimeters of the cavity before new tumors show on MRI scans. This gives surgical teams specific targets for earlier tissue resection, focal radiation, or direct drug delivery.

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