Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Cirrhosis I: Introduction01:23

Cirrhosis I: Introduction

Cirrhosis is a chronic, irreversible liver disease characterized by the widespread replacement of healthy liver tissue with fibrotic scar tissue and the formation of regenerative nodules.Etiology of cirrhosisCirrhosis results from sustained liver injury that triggers progressive fibrosis and structural remodeling. The underlying causes are diverse, encompassing common and less frequent clinical conditions. Regardless of the origin, all causes lead to chronic inflammation, hepatocyte loss, and...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Single-cell RNA-seq reveals mRNAs and lncRNAs important for oocytes in vitro matured in pigs.

Reproduction in domestic animals = Zuchthygiene·2021
Same author

Effects of the histone acetylase inhibitor C646 on growth and differentiation of adipose-derived stem cells.

Cell cycle (Georgetown, Tex.)·2021
Same author

A Method for Estimating 24-Hour Urinary Sodium Excretion by Casual Urine Specimen in Chinese Hypertensive Patients.

American journal of hypertension·2021
Same author

<i>Scutellaria baicalensis</i> extract and baicalein inhibit replication of SARS-CoV-2 and its 3C-like protease <i>in vitro</i>.

Journal of enzyme inhibition and medicinal chemistry·2021
Same author

Frequent reassortment and potential recombination shape the genetic diversity of influenza D viruses.

The Journal of infection·2021
Same author

Evaluation of origanum oil, hydrolysable tannins and tea saponin in mitigating ruminant methane: In vitro and in vivo methods.

Journal of animal physiology and animal nutrition·2021

Related Experiment Video

Updated: May 8, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

Machine learning-driven clinical decision support for liver cirrhosis: a gut microbiome-based web prediction model

Jianyuan Liu1,2,3,4, Shiran He1,3,4, Heng Zhang1,3,4

  • 1School of Public Health, Guangxi Medical University, Nanning, Guangxi, China.

BMC Gastroenterology
|May 7, 2026
PubMed
Summary

This study developed an interpretable machine learning model using gut microbes to predict liver cirrhosis (LC). The tool aids healthcare professionals in LC screening and early intervention.

Keywords:
16S ribosomal RNA gene amplicon sequencingGut microbiotaLiver cirrhosisMachine learningWeb-based deployment

More Related Videos

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Related Experiment Videos

Last Updated: May 8, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Area of Science:

  • Microbiome research
  • Machine learning in medicine
  • Bioinformatics

Background:

  • Liver cirrhosis (LC) is a prevalent chronic liver disease with diagnostic limitations.
  • Current LC diagnostic methods pose challenges in safety and accessibility.

Purpose of the Study:

  • To develop an interpretable machine learning (ML) model for predicting liver cirrhosis (LC) using gut microbial data.
  • To deploy the ML model as a web-based clinical decision support tool for LC screening.

Main Methods:

  • Utilized bioinformatics and LEfSe analysis to identify key gut genera associated with LC.
  • Employed LASSO regression for feature selection and Random Forest (RF) for model development.
  • Validated the model using five-fold cross-validation and leave-one-dataset-out (LODO) analysis, with SHAP for interpretability and Streamlit for web deployment.

Main Results:

  • Identified key gut genera (Veillonella, Lachnospira, Romboutsia, Akkermansia, Erysipelatoclostridium, Prevotella, UCG.005, Streptococcus) differentiating LC patients from controls.
  • The Random Forest (RF) model achieved high predictive performance (AUC: 0.875 in cross-validation, 0.793 in LODO analysis).
  • An online LC prediction tool was successfully deployed.

Conclusions:

  • An interpretable RF model utilizing gut microbiome data shows potential for LC prediction.
  • The web-based tool can assist healthcare professionals in LC screening and early clinical intervention.