Liver Injury

Axiom accurately predicts human liver toxicity

20-25% of clinical trials fail due to drug-induced liver injury, Axiom wants to eliminate these failures

SOURCE “Setting Clinical Exposure Levels of Concern for Drug Induced Liver Injury (DILI) Using Mechanistic In Vitro Assays” F Shah et al, Toxicological Sciences, 2015

Pfizer

2D HepG2

Axiom

AI model

ROC-AUC--0.89
Sensitivity / True Positive Rate34%75%
Specificity / True Negative Rate91%90%
Cost$3,000–$5,000$100–$450
SOURCE “Setting Clinical Exposure Levels of Concern for Drug Induced Liver Injury (DILI) Using Mechanistic In Vitro Assays” F Shah et al, Toxicological Sciences, 2015

Proprietary data combined with the latest ML/AI methods

We did the lab work to build the world's largest human liver dataset then used it to train highly accurate models.

Step 1

We did the lab work to create the world’s largest primary human liver dataset

  • 115,000+ molecules exposed to primary human liver cells.

  • High content imaging of key cell organelles paired with biochemical assays.

  • Learn more about Axiom's training set.

Step 2

We quantify biology with unprecedented sensitivity

  • 10+ models of unique biology (confluency, ER-stress, mitochondrial toxicity, and more).

  • Bile canalicular networks, efflux/uptake transporters, steatosis coming soon.

  • Points of departure dramatically more sensitive than traditional assays.

Step 3

Our models learn how chemistry affects biology

  • Molecules induce diverse cellular phenotypes.

  • Axiom's models learn which molecules induce which toxic cell phenotypes.

  • For a new molecule, our models predict its cellular phenotype and dose-dependent relationship with toxicity.

Step 4

Precise clinical risk assessment

  • Understand the relationship between human exposure and human toxicity.

  • Accurately compute the therapeutic index.

  • Reason about toxicity at physiologically relevant concentrations.

Inside our model: how it works

Axiom uses molecular structure, properties, and cell biology to predict clinical toxicity outcomes.

Assess toxicity in a modern web application

Study clinical liver injury risk with powerful data visualization and predictions.

Liver Services

Axiom offers a variety of services for understanding drug induced liver injury.