Article

AI-assisted Drug Re-purposing for Human Liver Fibrosis

2025-05-04

Abstract excerpt

Liver fibrosis is a severe disease with few treatment options due to the poor quality of the available animal and in vitro models. To address this, we investigated whether a hypothesis generating multi-agent AI system (AI co-scientist) could assist in re-purposing drugs for treatment of liver fibrosis and direct their experimental characterization. A multi-parameter image analysis workflow, which enabled anti-fib...

Topics

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

Identifiers and source

Literature Corpus work: b6a10109-8b7d-516e-80f5-960eb52c1963
DOI: 10.1101/2025.04.29.651320

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

AI-assisted Drug Re-purposing for Human Liver FibrosisDOI 10.1101/2025.04.29.651320Read

Characterization of Pro-Fibrotic Signaling Pathways using Human Hepatic OrganoidsSemantic proximity Read

Integrating Network Pharmacology and Experimental Validation to Elucidate Huaier in Attenuating Liver Fibrosis via the AKT Signaling PathwaySemantic proximity Read

Drug Repurposing Through a Bioinformatics Pipeline Applied on Fibrotic DiseasesSemantic proximity Read

A Human Liver Organoid Screening Platform for DILI Risk PredictionSemantic proximity Read

A Human Multi-Lineage Hepatic Organoid Model for Liver FibrosisSemantic proximity Read

An LSEC-focused computational drug repurposing platform for liver fibrosis: Identification of vorinostat and other LSEC-protective candidatesSemantic proximity Read

Integrating text mining with network models for successful target identification: in vitro validation in MASH-induced liver fibrosisSemantic proximity Read

scRNA-Seq-based drug repurposing targeting idiopathic pulmonary fibrosis (IPF)Semantic proximity Read

Rationale and targets for antifibrotic therapies.Semantic proximity Read

Predicting Drug-Efficiency and Cancer Evolution Using an Automated Histological Classifification Based on Whole Slide ImagesSemantic proximity Read

Predicting direct hepatocyte toxicity in humans by combining high-throughput imaging of HepaRG cells and machine learning-based phenotypic profiling.Semantic proximity Read

A human liver organoid screening platform for DILI risk predictionSemantic proximity Read