Researchers identify predictive markers of response to immunotherapy treatment in a study involving data from over 700 patients across six different cohorts. The study has significant relevance, impacting the management of bladder cancer patients. Machine learning tools enabled the identification of key variables for the success of immunotherapy treatment. This innovative methodology has allowed researchers to pinpoint which tumor subtypes respond best to immunotherapy.
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