This is part two in our three-part GENcast series, where we discuss various aspects of the drug discovery and development process and, in particular, how advanced computational techniques like mechanistic modeling can help advance the therapeutic drug pipeline for many developers. In our initial podcast, we were introduced to mechanistic modeling concepts and the basics of how they can be applied to drug discovery workflows. In this latest GENcast, I sat down once again with Dr. John Burke, President, CEO, and Co-founder of Applied BioMath, to take a deeper dive into the specific applications of mechanistic modeling and how his company is helping biotech and pharma organizations reduce their late-stage drug attrition rates. Take a listen!
John M. Burke, PhD
Co-Founder, President and CEO