Join Eli Lilly's Jonathan Gilbert, Ph.D. and CDD's Peter Gedeck, Ph.D. for a technical webinar showcasing Lilly TuneLab’s predictive AI/ML models embedded directly within CDD Vault. The session will first introduce the fundamentals of federated learning and explain how TuneLab uses this approach to build drug discovery models trained on decades of Lilly proprietary research data. We will discuss ChemLab which predicts small molecule ADMET endpoints and AbLab which predicts antibody developability endpoints. We will then walk through the specific integration, showing how TuneLab models fit within the CDD Vault environment, providing model access where discovery work already happens.

What You’ll Learn

• How TuneLab brings Lilly-trained predictive AI/ML models directly into CDD Vault workflows

• How federated learning enables models to benefit from decades of Lilly research data

• How ChemLab supports small-molecule ADMET predictions

• How AbLab supports antibody developability predictions

• How scientists can apply these models within their existing drug discovery workflows