Integrative machine learning analysis suggests novel molecular targets for liver cancer diagnosis and therapy

The integration of machine learning with genomic data facilitated the development of a robust diagnostic model for HCC, emphasizing genes involved in immune responses. The identified genes and new diagnostic signatures offer valuable insights into the pathophysiology of HCC and hold potential for enhancing diagnostic strategies and patient management.