Absentia’s AI-Driven Digital Liver Model
The liver is the body’s chemical interface, filtering nearly everything we ingest. Predicting when a medicine will injure it remains one of the hardest safety problems in drug development.
Module
Digital Liver Model
Status
Accepted into FDA’s ISTAND program
Inputs
Molecular structure, dose, route, duration and optional in-house data
Outputs
Quantitative DILI risk, mechanistic context, confidence estimates and supporting evidence
Predict Liver Injury in context.
The Digital Liver evaluates a drug candidate in the context that shapes real-world risk. It combines mechanistic biology, drug-response evidence and machine learning to estimate when liver injury may occur and show the factors contributing to the prediction.
The problem
DILI risk is difficult to predict early
Liver safety depends on more than molecular structure. Dose, route, treatment duration, metabolism, immune response and patient variability can all influence whether a potential hazard becomes an injury.
Mechanism
Mechanistic modeling across biological scales
Absentia connects molecular, cellular, tissue and organ-level biology with learned evidence from drug-response data. The result is a quantitative prediction with biological context and uncertainty that scientists can evaluate.
Platform
Built for preclinical safety decisions
Use the Digital Liver to screen and prioritize candidates, investigate safety signals and add computational evidence to the weight of evidence before clinical development. The module also serves as a foundation for Absentia’s expanding safety platform across additional organ systems.
Interested in evaluating Absentia’s Digital Liver Model?
Talk to our team about predicting drug-induced liver injury, assessing compound-specific risk, or exploring a scientific collaboration. Share your liver safety questions using the form or contact Jeff directly.
Explore other safety modules.
Liver safety was the first module in Absentia’s predictive safety platform. See every module, and what is coming next, on the Technology page.
