Scientific integrity is central to how Quercus Insights operates. The methods and perspectives used in projects are grounded in work that has been peer reviewed, presented in scientific forums, or both. Where new approaches are developed for specific collaborations, the aim is to hold them to the same standards of clarity and rigor, whether or not they are ultimately published.
Much of the work at Quercus Insights builds on:
quantitative systems pharmacology and PK/PD modeling
experiment design and identifiability analysis
combination and sequencing strategies
virtual populations and heterogeneous response dynamics
The publications and recordings below are a selection intended to illustrate the types of questions, methods, and applications that underlie the services offered here. They are not exhaustive, but they indicate the level of scrutiny these ideas have received before being adapted to specific programs and datasets.
Background information on using practical parameter identifiability and the Profile Likelihood method to identify, when collecting data points would be the most inforamtive.
First in a series of works on model-guided dosing and sequencing of combination therapy. Subsequent work (in press) focuses on expansion of the methodology to virtual populations to guide patient stratification.
Illustration of the use of virtual populations analysis to inform dose selection for drugs with a bell-shaped efficacy curve, as well as to assess the feasiblity of patient stratification based on available biomarkers.
Additional recordings can be found here.