As the ADC community looks to broaden its scope beyond purely in vivo preclinical approaches, the use of AI, machine learning, and computational approaches provide a powerful opportunity to predict ADC properties and behaviour, especially against mismatched readouts between traditional preclinical studies and clinical trials

Don’t miss this workshop led by ADC KOL Greg Thurber to investigate the implementation, of in silico, models and simulators to predict how ADC design influences efficacy

Workshop highlights include:

• Exploring the multiscale mechanisms of ADC distribution, from subcellular to cellular, tissue, organ, and systemic biodistribution
• Discussing the (sometimes) counterintuitive results of ADC efficacy between animal models and the clinic
• Reviewing the practical implementation of ADC simulations to predict how ADC design impacts efficacy