Machine learning-based integration of tumor deposit molecular signatures improves prognostic stratification in colon adenocarcinoma

Our machine learning-based integration of TD molecular signatures establishes a robust risk stratification model for COAD patients, offering improved prognostic accuracy and valuable insights for personalized treatment strategies. Our findings highlight the potential of interpretable machine learning in molecular oncology risk modeling.