Name
Absentia Labs
What We Do
Absentia Labs develops AI-driven predictive toxicology models that identify human-relevant safety risks, such as liver and systemic toxicities, early in the discovery and preclinical phases.
Our platform integrates curated chemical and biological data with mechanistic modeling to deliver contextualized risk assessments and reveal the key factors behind toxicity.
The models are developed and validated within specific use cases, using independent benchmarks against regulatory reference datasets and calibration of uncertainty in line with emerging standards for trustworthy AI.
This approach helps teams prioritize safer candidates and make better-informed decisions before investing in costly animal studies or IND-enabling processes, thereby aiding the shift to human-centric new approach methodologies.
Our platform integrates curated chemical and biological data with mechanistic modeling to deliver contextualized risk assessments and reveal the key factors behind toxicity.
The models are developed and validated within specific use cases, using independent benchmarks against regulatory reference datasets and calibration of uncertainty in line with emerging standards for trustworthy AI.
This approach helps teams prioritize safer candidates and make better-informed decisions before investing in costly animal studies or IND-enabling processes, thereby aiding the shift to human-centric new approach methodologies.
Website
Product or Service Categories (15)
Acute Toxicology, Cardiology/Cardiotoxicology, Clinical Chemistry/Laboratory Analysis, Mechanistic Toxicology, Neurobiology/Neurotoxicology, Pharmaceutical Toxicology, Regulatory Toxicology, Toxicogenomics, Toxicokinetics, ADME (Absorption/Distribution/Metabolism/Excretion), Preclinical, Modeling, Research/Testing, Safety/Risk Assessment, Software/Computing