Patients with cancer of unknown primary (CUP) face obstacles in accessing treatment because many treatments are indicated only for a specific cancer type. Using retrospective data, researchers proved that OncoNPC, a machine-learning tool, can accurately diagnose the source of cancer in more than 40% of patients with CUP, possibly widening their access to effective treatments.

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