Greg Thurber
Professor, Chemical & Biomedical Engineering University of Michigan
Greg Thurber PhD. is a Professor of Chemical and Biomedical Engineering at the University of Michigan. The Thurber lab uses in vivo microscopy and mathematical simulations to develop quantitative and predictive simulations of drug and imaging agent distribution. The core theory is used in multiple applications, including pharmacokinetic and pharmacodynamic models for cancer therapy and chemoprevention and imaging agent development for screening, diagnosis, intraoperative imaging, and treatment monitoring. To this end, we are exploring a range of potential drug and imaging molecules, from small compounds to peptides, and all the way up to antibodies to better understand their targeting and distribution properties.
Seminars
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
- Laying out rational-driven opportunities to improve ADC combinations through knowledge of ADC design and targeting
- Understanding the role of epitope selection and antibody affinity in ADC immune agonists combination performance
- Incorporating ADC design principles and applications to enhance ADC combinations
