ArticleNPJ digital medicine2025
Multiscale modeling of drug-induced liver injury from organ to lobule.
Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- In Silico Clinical Trials in Drug Development: Virtual Patients, Applications, and Regulatory Convergence.Clinical pharmacology and therapeutics · 2026Review
- The arrival of digital twins and in silico trials in drug development.Nature medicine · 2026Article
- Artificial Intelligence Virtual Organoids (AIVOs).Bioactive materials · 2026Review
- Modeling Metabolite Kinetics with a Partial Differential Equation-Based Hepatic Sinusoidal Model and MALDI-Mass Spectrometry Imaging of Verapamil and Its Metabolites.Journal of medicinal chemistry · 2026Article
- The neurobiological regulatory mechanism of brain edema.Frontiers in cellular neuroscience · 2026Review
- Multiscale zonation-resolved modeling of dose-dependent determinants of acetaminophen-induced liver injury.Frontiers in pharmacology · 2026Article
- Smart biomaterials: as active immune modulators to shape pro-regenerative microenvironments.Frontiers in cell and developmental biology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Drug-induced liver injury poses significant challenges in drug development and in clinical care. This study builds on prior work developing a Human Liver Virtual Twin by creating a Multiscale Computational Fluid Dynamics framework that integrates patient-specific anatomical data to predict acetaminophen-induced liver injury as a demonstration of its capability. The model bridges vascular, lobular, and cellular scales to simulate dynamic blood flow, drug transport, and injury mechanisms that accurately reflect clinically observed spatial heterogeneity. Results demonstrate accurate blood flow dynamics, predictions of hepatocellular damage, and a scalable framework for studying spatial heterogeneity applicable to other hepatic pathologies. This work establishes the foundational principles for a whole-organ virtual liver simulation methodology, potentially becoming a powerful tool to guide safety in therapeutic development and clinical treatment strategies, ultimately reducing reliance translation from animal models for preclinical drug testing.
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.