Audureau E, Carrat F, Layese R, et al. - This study was undertaken to establish algorithms based on machine learning predictive approaches to refine individualized predictions of hepatocellular carcinoma (HCC) risk according to HCV eradication in patients with cirrhosis included in the French ANRS CO12 CirVir cohort. Researchers enrolled individuals with compensated biopsy-proven HCV-cirrhosis in 35 centers and followed a semi-annual HCC surveillance program.  A total of 836 individuals were examined in the study. For hepatocarcinogenesis, risk factors differ according to sustained virological response status. Via revealing complex interactions between cancer predictors, machine learning algorithms can prove beneficial to individually evaluate HCC risk. The findings demonstrate that such procedures could help in developing more cost-effective tailored surveillance programs.