Article

Extracellular Vesicles as Biomarkers for Steatosis Stages in MASLD Patients: an Algorithmic Approach Using Explainable Artificial Intelligence

2024-12-08

Abstract excerpt

<h4>Background & Aims</h4> Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as NAFLD, is a leading cause of chronic liver disease worldwide. Current diagnostic methods, including liver biopsies, are invasive and have significant limitations, emphasizing the need for non-invasive alternatives. This study aimed to evaluate extracellular vesicles (EV) as biomarkers for diagnosing and s...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 927c3c86-44aa-5d93-92f1-4e299e51e4da
DOI: 10.1101/2024.12.07.24318644

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Extracellular Vesicles as Biomarkers for Steatosis Stages in MASLD Patients: an Algorithmic Approach Using Explainable Artificial IntelligenceDOI 10.1101/2024.12.07.24318644Read

Extracellular Vesicles as Biomarkers for Steatosis Stages in MASLD Patients: an Algorithmic Approach Using Explainable Artificial IntelligenceSemantic proximity Read

Machine Learning–Based Prediction of Ultrasound-Detected Metabolic Dysfunction–Associated Steatotic Liver Disease Using Routine Clinical and Biochemical ParametersSemantic proximity Read

Steatosis Non-Invasive Tests Accurately Predict Metabolic Dysfunction-Associated Steatotic Liver Disease, While Fibrosis Non-Invasive Tests Fall Short: Validation in U.S. Adult PopulationSemantic proximity Read

Quantitative fibrosis features from digitized H&E-stained liver biopsies reveal granular insights into fibrosis and disease progression in metabolic dysfunction-associated steatohepatitis: a retrospective analysis of STELLAR-3 and STELLAR-4Semantic proximity Read

Interpretable Machine Learning Predicts Hepatic Fat Response to a Monounsaturated Fat-Enriched Diet in Steatotic Liver DiseaseSemantic proximity Read

ADVANCED ARTIFICIAL INTELLIGENCE ENABLED METHODS FOR EARLY DETECTION OF NON-ALCOHOLIC FATTY LIVER DISEASE AND ASSOCIATED HEALTH RISKSSemantic proximity Read

An Invisible Early Steatosis Phenotype Defined for a Large Population-Based CohortSemantic proximity Read

Machine Learning Enables Single-Score Assessment of MASLD Presence and SeveritySemantic proximity Read

The hepatocellular model of fatty liver disease: from current imaging diagnostics to innovative proteomics technologiesSemantic proximity Read

Clinically Interpretable Extracellular Vesicle Gene Model for Non-Invasive Liver Cancer DiagnosisSemantic proximity Read

Predicting and elucidating the etiology of fatty liver disease using a machine learning-based approach: an IMI DIRECT studySemantic proximity Read

Evaluation of MARC1 Variants and Extracellular Vesicle Cytokeratin-18 as Predictive Biomarkers in a group of Egyptian MASLD and MASH patientsSemantic proximity Read