New work proposes a modeling approach that uses AI combined with a clinical signal framework to predict colorectal cancer risk, aiming to standardize how risk is stratified earlier in the disease pathway. The approach targets the recurring challenge in oncology of finding accurate, scalable predictors that can support time-sensitive decisions.