Development and validation of a machine learning-based prognostic model using mitochondrial dysfunction-related genes for colorectal cancer patients

This ML-based model using MRGs effectively predicts CRC prognosis, immune microenvironment, and therapeutic response, offering a framework for precision oncology. The 7-gene signature may guide risk stratification and targeted therapy, bridging mitochondrial biology with clinical outcomes.