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New tool predicts which treatments may work best in cancer patients

A new precision oncology software tool, called SELECT, analyzes tumor transcriptomics data to predict which therapies are most beneficial for an individual patient. When applied to data from over 30 different clinical trials, SELECT was predictive of patient responses to targeted and immune therapies in about 80 percent of the trial datasets.

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