Biomarkers for minimally invasive multigrade liver cancer diagnosis using integrative heterogeneous models and evolutionary algorithms.
Liver cancer, a leading global cause of death, requires early and accurate diagnosis for better treatment outcomes and reduced mortality rates. This retrospective cohort study presents a machine learning-based predictive framework utilizing a combined panel of minimally invasive circulating biomarkers for early diagnos...