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Researchers from UMC Utrecht and the Princess Máxima Center for pediatric oncology have developed a new deep-learning algorithm, a form of artificial intelligence, which significantly speeds up the diagnosis of brain tumors during surgery. This technology allows neurosurgeons to adjust their surgical strategies on the spot, within 1.5 hours, instead of the usual one week. The algorithm is equipped to learn from millions of simulated realistic ‘DNA snapshots’ and can identify the tumor type within 20 to 40 minutes.