Dana-Farber AI-model predicts primary source of cancer using gene sequencing data
BOSTON – Researchers at Dana-Farber Cancer Institute have created an AI-based tool that uses tumor gene sequencing data to predict the primary source of a patient’s cancer. The study, published in in Nature Medicine, suggests that this predictive tool, called OncoNPC, could help guide treatment of cancer and improve outcomes in difficult to diagnose cases.
The primary source of cancer is traditionally diagnosed by a standardized diagnostic work-up, including radiology and pathology assessments based on slides of cells taken from a tumor biopsy. In 3-5% of cancer ...














