Quantitative Modeling & Simulation: Driving Critical Decisions from Research through Clinical Trials

Webinar Details

This webinar aired live Tuesday, November 7, 2017 at 1:00 PM EST and was presented by Dr. John M. Burke, Co-founder, President and CEO of Applied BioMath. 

Quantitative Systems Pharmacology (QSP) is a mathematical modeling and engineering approach to translational medicine that aims to quantitatively integrate knowledge about therapeutics with an understanding of its mechanism of action in the context of human disease mechanisms. QSP approaches de-risk projects, accelerate the development of best in class therapeutics, and reduce late stage attrition rates. This results in helping industry save money, accelerate timelines, and make better therapeutics, ultimately improving patients’ lives.

In this webinar, two case studies will be discussed to highlight how QSP efforts in rheumatoid arthritis have accelerated the discovery and development of best-in-class therapeutics, and impacted critical decisions, in the continuum from preclinical exploration to clinical research. Specifically, we will show how QSP impacts:

  • Biological understanding
  • Lead generation
  • Clinical candidate selection
  • IND support
  • Clinical trial go/no go decisions from industry

This webinar is ideal for scientists and decision makers in R&D who want to learn more about how to leverage QSP to provide quantitative guidance for their drug discovery and development.

View the Webinar