Embedded Files
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.
Model-guided experiment design
Model-guided experiment design
Background information on using practical parameter identifiability and the Profile Likelihood method to identify, when collecting data points would be the most informative. The peer-reviewed paper can be found here.
quantifying synergy in Combination therapy
quantifying synergy in Combination therapy
A recording of the Rosa and Co seminar on model-guided combination therapy. The questions that are discussed:
1) Is sysnergy the right metric to optimize in combination therapy?
2) How to select the right dose for a known patient and the right patient for a known dose?
3) How can we stratify patients if we have no measurable biomarkers?
The first of teh publications can be found here; the second one is under review and should be out soon.
virtual populations as applied to T cell engagers
virtual populations as applied to T cell engagers
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 feasibility of patient stratification based on available biomarkers. The peer-reviewed paper can be found here.
Additional recordings can be found here.
Page updated
Report abuse