![GEN Podcasts artwork](https://is2-ssl.mzstatic.com/image/thumb/Podcasts113/v4/87/04/4f/87044f84-eb39-2698-de98-033f658d16af/mza_2370983671109310310.jpg/100x100bb.jpg)
Moving the Drug Pipeline Forward with Mechanistic Modeling
GEN Podcasts
English - December 01, 2022 16:34 - 25 minutes - 29.5 MB - ★★★★★ - 4 ratingsTechnology biotech biotechnology bioprocessing cell and gene therapy drug discovery gene editing genomics molecular biology cancer research next gen sequencing Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
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!
Hosted on Acast. See acast.com/privacy for more information.