Machine learning predicts drug response for personalized colorectal cancer treatment

A Singaporean research team has developed CAN-Scan (short for Cancer Scan), a next-generation precision oncology platform designed to “scan” the molecular features of each patient’s cancer. Published in Cell Reports Medicine, CAN-Scan integrates patient-derived tumor models, multi-omics profiling, and machine learning to predict disease progression and therapeutic response, with the potential to personalize treatment for colorectal cancer (CRC) patients in the future.

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