# Liver Diseases: Science, Fiction and the Foreseeable Future

## TL;DR

This editorial introduces a special issue on liver diseases, covering current research and future directions in hepatology.

## Contribution

The paper highlights novel therapeutic options and emerging research areas in liver disease management.

## Key findings

- The paper outlines current developments in liver disease prevention and treatment.
- It emphasizes the role of machine learning in advancing hepatology research.
- A large study on early detection of liver damage was initiated in March 2024.

## Abstract

This Editorial precedes the Special Issue entitled “Novel Challenges and Therapeutic Options for Liver Diseases”. Following a historical outline of the roots of hepatology, we provide a brief insight into our colleagues’ contributions in this issue on the current developments in this discipline related to the prevention of liver diseases, the metabolic dysfunction-associated steatotic liver disease (or non-alcoholic fatty liver disease, respectively), liver cirrhosis, chronic viral hepatitides, acute-on-chronic liver failure, liver transplantation, the liver–microbiome axis and microbiome transplantation, and telemedicine. We further add some topics not covered by the contributions herein that will likely impact future hepatology. Clinically, these comprise the predictive potential of organokine crosstalk and treatment options for liver fibrosis. With regard to promising developments in basic research, some current findings on the genetic basis of metabolism-associated chronic liver diseases, chronobiology, metabolic zonation of the liver, aspects of the aging liver against the background of demography, and liver regeneration will be presented. We expect machine learning to thrive as an overarching topic throughout hepatology. The largest study to date on the early detection of liver damage—which has been kicked off on 1 March 2024—is highlighted, too.