Event Details

March 2-4, 2020 | San Diego, CA
Event Website

Applied BioMath Presence 

Keynote Presentation: Tuesday, March 3rd | 10:05-10:25AM

Title and Abstract: Quantitative modeling and simulation approaches: Driving critical decisions from research through clinical trials

  • 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
  • Several examples will be shown which highlight QSP efforts to accelerate the discovery and development of best-in-class therapeutics and impact critical decisions, in the continuum from preclinical exploration to clinical research
  • Examples will include providing biological understanding, impact on new target proposals, lead generation, clinical candidate selection, IND support, and clinical trial go/no go decisions from industry

Presenter: John M. Burke, PhD, Co-Founder, President and CEO, Applied BioMath

Posters

Title: Bridging non-clinical studies to clinical design using a quantitative systems pharmacology model of T cell engaging bispecifics

Presented by: Katie Williams, PhD

Title: A semi-mechanistic platform model to capture individual animal responses to checkpoint inhibitors in a syngeneic mouse model

Presented by: Katie Williams, PhD

Title: Semi-mechanistic PK and target-occupancy modeling to support dose justification for anti-PD-L1 clinical candidate CK-301 (cosibelimab) in oncology patients

Presented by: Samara Pillay, PhD