Accelerating ADC Model Simulation with the Power of Artificial Intelligence & Machine Learning

This workshop will explore how artificial intelligence and machine learning are transforming ADC target identification and screening, payload optimisation, and toxicity prediction within model systems. Discuss practical implementation challenges, data requirements, and regulatory considerations for AI-driven approaches.

Key Questions:

• How can AI improve target risk assessment and reduce preclinical attrition?
• What data sets are required to build predictive toxicity models?
• How do we validate AI algorithms for regulatory data packages?
• What are the limitations of current AI approaches in ADC development?

Speakers:

Greg Thurber

Professor, Chemical & Biomedical Engineering

University of Michigan