Machine Learning Model Can Predict Hepatocellular Carcinoma Risk

Follow Drugslib on

By Elana Gotkine HealthDay Reporter

Amazon Big Spring Sale - Up to 40% off

Medically reviewed by Carmen Pope, BPharm. Last updated on April 2, 2026.

via HealthDay

THURSDAY, April 2, 2026 -- A machine learning model can predict hepatocellular carcinoma (HCC) risk using routinely available data, according to a study published online March 30 in Cancer Discovery.

Jan Clusmann, M.D., from the University Hospital RWTH Aachen in Germany, and colleagues used prospectively collected multimodal data from more than 90,000 individuals with 983 cases of HCC across the U.K. Biobank study (development cohort) and the All of Us Research Program (external testing cohort) to develop an interpretable machine learning framework for HCC risk stratification. Individual and cumulative contributions of data modalities, including demographics, lifestyle, health records, blood, genomics, and metabolomics, were assessed.

The researchers found that on internal and external test sets, the final, random-forest-based models significantly outperformed all publicly available risk scores. Robustness was demonstrated across ethnic subgroups, providing comprehensive interpretability.

"Our study highlights the potential of a simple, easily utilized machine learning model to improve risk stratification for HCC using only routinely collected clinical data," co-senior author Carolin V. Schneider, M.D., also from the University Hospital RWTH Aachen, said in a statement. "If validated in additional populations, our model would enable primary care physicians to efficiently identify at-risk patients and refer them to liver cancer screening. This could enable earlier detection and improved outcomes for patients with this aggressive disease."

Several authors disclosed ties to the biopharmaceutical industry.

Abstract/Full Text

Disclaimer: Statistical data in medical articles provide general trends and do not pertain to individuals. Individual factors can vary greatly. Always seek personalized medical advice for individual healthcare decisions.

Source: HealthDay

Posted : 2026-04-03 01:52

Read more

Disclaimer

Every effort has been made to ensure that the information provided by Drugslib.com is accurate, up-to-date, and complete, but no guarantee is made to that effect. Drug information contained herein may be time sensitive. Drugslib.com information has been compiled for use by healthcare practitioners and consumers in the United States and therefore Drugslib.com does not warrant that uses outside of the United States are appropriate, unless specifically indicated otherwise. Drugslib.com's drug information does not endorse drugs, diagnose patients or recommend therapy. Drugslib.com's drug information is an informational resource designed to assist licensed healthcare practitioners in caring for their patients and/or to serve consumers viewing this service as a supplement to, and not a substitute for, the expertise, skill, knowledge and judgment of healthcare practitioners.

The absence of a warning for a given drug or drug combination in no way should be construed to indicate that the drug or drug combination is safe, effective or appropriate for any given patient. Drugslib.com does not assume any responsibility for any aspect of healthcare administered with the aid of information Drugslib.com provides. The information contained herein is not intended to cover all possible uses, directions, precautions, warnings, drug interactions, allergic reactions, or adverse effects. If you have questions about the drugs you are taking, check with your doctor, nurse or pharmacist.

Popular Keywords