Using ML and large-scale transcriptomic profiling of data from 1,665 non-tumorous tissue samples and 2,316 HCC, Kaur et al. identified three platform-independent diagnostic genes - FCN3 (downregulated in HCC), CLEC1B (downregulated in HCC), and PRC1 (upregulated in HCC) - that demonstrated prognostic potential and could detect HCC with high precision (93-98%) in both training and validation datasets, demonstrating the contribution of AI-powered tools to the precise identification of relevant biomarkers [41]. Here, CLEC1B is linked to hepatocellular carcinoma.