Leveraging AI and Natural Compounds: Innovative Approaches in the Diagnosis and Treatment of Hepatocellular Carcinoma.

Abstract

Liver cancer, particularly Hepatocellular Carcinoma (HCC), remains a significant global health challenge owing to its high incidence and position as the fourth leading cause of cancer-related mortality. HCC represents 75-85% of all liver cancer cases and ranks as the sixth most prevalent cancer globally. Several factors, including late-stage diagnosis, limited treatment effectiveness, resistance to conventional therapies, and adverse side effects, hinder the delivery of life-prolonging care to patients with HCC. Current treatment options such as chemotherapy, immunotherapy, and adjuvant therapy are often associated with severe side effects. Consequently, there is an urgent need for improved diagnostic methods and alternative therapeutic approaches to extend life expectancy and reduce HCC-related mortalities. Artificial Intelligence (AI) is an emerging technology that offers promising advances for the early detection of HCC. In terms of alternative treatments, natural compounds have garnered significant attention because of their diverse biological activities, such as antitumor, antiviral, antimicrobial, antioxidant, anti-inflammatory, hepatoprotective, antimutagenic, and cardioprotective effects, and their relatively lower side effect profiles. These compounds exhibit hepatoprotective properties by modulating key molecular pathways involved in HCC development and progression. This article provides an overview of recent advances in the understanding of liver cancer etiology, therapeutic targets in HCC pathogenesis, the role of AI in its detection, and the potential of natural products, particularly flavonoids, as preventive and therapeutic agents against HCC, highlighting their underlying mechanisms of action.