Liver Toxicology Service Overview
Validated 3-D models, bespoke analytics, actionable output
VivoSim Labs offers an integrated liver toxicology service built on the NAMkind™ Liver Model to close the gap between exploratory biology and clinical reality. Drug-induced liver injury remains the leading cause of compound attrition in Phase I and Phase II trials, often because conventional 2-D cultures and animal studies miss human-specific liabilities. Built with human cells our three-dimensional micro-liver spheroids, composed of primary hepatocytes with Kupffer, endothelial, and stellate cells, reproduce the architecture, function, and metabolic capacity of the human liver in a physiologically relevant environment.
Our standard service can screen up to two hundred compounds at multiple concentrations within seventeen days, simultaneously measuring viability, functional output, and early DILI biomarkers including LDH release, albumin secretion, ATP viability, and glutathione status. This approach enables clear differentiation of which scaffolds are safe to advance, which require optimization, and which should be retired.
Beyond these core read-outs, optional mechanistic panels can uncover root causes, transcriptomic shifts, or mitochondrial liabilities, while species-specific micro-liver variants resolve cross-species discrepancies before in vivo studies. The final report integrates quantitative results with high-resolution microscopy images to rank your drug candidates by risk, allowing teams to prioritize resources on the most promising compounds while costs remain low.
Species Specific Liver Toxicology Service Overview
Cross-species liver models to improve translation and de-risk animal findings
Selecting an appropriate preclinical toxicology model be can a challenge in drug development. Our species-specific liver toxicology models are designed to reflect the physiological responses of the four primary FDA-recognized animal species – rat, mouse, dog, and monkey. These models help uncover species-dependent toxicities early, providing critical insights into whether a candidate is likely to be safe in humans. By capturing interspecies variability in liver response, our platform addresses a fundamental problem in toxicology: a drug may be toxic in one species but not another, or worse, safe in animals but harmful in humans. Our models support better-informed decisions, helping de-risk development and guide translational relevance before clinical trials.







