A new artificial intelligence-based method accurately sorts cancer patients into groups that have similar characteristics before treatment and similar outcomes after treatment, according to a study led by investigators at Weill Cornell Medicine. The new approach has the potential to enable better patient selection in clinical trials and better treatment selection for individual patients.
This article was originally published on MedicalXpress.com
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