Novel machine learning models predict HCC more accurately

Machine learning is fast becoming a competitive model that minimises bias in Hepatocellular carcinoma (HCC) prediction. This study demonstrated that HCC ridge score, built from machine learning model, was consistently more accurate than existing HCC risk scores to predict HCC in patients with chronic viral hepatitis. It may incorporate into electronic medical health systems to develop appropriate cancer surveillance strategies and reduce cancer mortality. (JHEP Rep. 2022 Jan 22;4(3):100441. doi: 10.1016/j.jhepr.2022.100441. eCollection 2022 Mar.)

Anyone interested in future collaboration in this field of research is welcome to contact our key investigator Prof. Vincent WONG from the Department of Medicine and Therapeutics, CUHK. Prof Wong’s research focuses on non-alcoholic fatty liver disease, viral hepatitis and liver fibrosis.