Register for Your Free Live Webinar Now:

"Toxicity Transformed: Leveraging AI and Human Biology to Redefine Risk Assessment"

Register now for this live Webinar.

Conventional models for predicting drug-induced liver injury (DILI) often fall short—lacking the accuracy, mechanistic insight, clinical relevance, and scalability needed to guide modern drug development. These limitations have contributed to costly trial failures and market withdrawals across the industry.

A new paradigm is emerging. By harnessing large-scale human-derived datasets, advanced AI/ML, and high-content imaging, researchers can now generate clinically relevant and interpretable DILI risk assessments. Join us for this valuable webinar to learn more about the latest approaches that are enabling transparent mechanistic explanations to effectively inform key decision-making and medicinal chemistry design.

We'll explore:

• How real-world biological and clinical data at scale can be used to generate precise, interpretable clinical risk predictions
• Best practices for validating predictive models against real-world outcomes
• Strategies for embedding AI/ML into preclinical workflows to strengthen safety decisions
• How mechanistic imaging can inform medicinal chemistry and risk mitigation
• And more

Offered Free by: Axiom
See All Resources from: Axiom