Perspectives in 2024

This Perspective discusses single-cell and single-nuclei RNA sequencing in metabolic dysfunction-associated steatotic liver disease and explains how our understanding of the pathology of the disease will accelerate following the advances in spatial transcriptomics.

Artificial intelligence (AI) is advancing rapidly and is already starting to transform cancer research and care. Here, the authors outline how AI could be incorporated into liver cancer management, highlighting areas with academic, commercial and clinical potential, as well as ongoing progress and pitfalls.

Bile acids have important roles in human metabolism and immune regulation. In this Perspective, Dorrestein and colleagues discuss the technologies and data science-related approaches that are improving our understanding of the diversity of bile acids and their multifaceted roles.

In this article, the authors discuss the use of total neoadjuvant therapy for locally advanced rectal cancer. They highlight ongoing trials and discuss future treatment options, including the potential use of multi-omics and artificial intelligence to facilitate treatment selection and prediction of response.

In this Perspective, Ginès and colleagues discuss liver fibrosis screening programmes using insights from colorectal and lung cancer screening.