July 11, 2022
The new article "Application of different approaches to generate virtual patient populations for the quantitative systems pharmacology model of erythropoiesis" by Galina Kolesova, Alexander Stepanov, Galina Lebedeva and Oleg Demin has been published in Journal of Pharmacokinetics and Pharmacodynamics.
Galina Kolesova comments on the article, "The traditional approach of QSP modeling includes fitting a model output to a series of mean data values. As a result, the parameters of the model represent fixed numbers enabling the description of mean data, thus we generated the so-called “reference patient”. However, the results of clinical trials include a description of variability in patients’ responses to a drug, which is typically expressed in terms of conventional statistical parameters such as standard deviations (SDs) from mean values. To allow a QSP model to reproduce the variability observed in response to a drug administration, a virtual patient (VP) population is usually generated and applied. In our study, we propose and compare four different approaches to generate virtual patient populations based on experimentally measured mean data and statistics, namely, (1) Monte Carlo Markov chain (MCMC), (2) model fitting to Monte Carlo samples, (3) population of clones, and (4) stochastically bounded selection. We applied these approaches to generate virtual patient populations in the QSP model of erythropoiesis. Our main task was to create a sample of virtual patients of the same size as that in clinical trials".
About InSysBio
InSysBio is a Quantitative Systems Pharmacology (QSP) company located in Edinburgh, UK (INSYSBIO UK LIMITED), Moscow, Russia (INSYSBIO LLC) and Cyprus (INSYSBIO CY Ltd). InSysBio was founded in 2004 and has an extensive track record of helping pharmaceutical companies to make right decisions on the critical stages of drug research and development by application of QSP modeling. InSysBio’s innovative QSP approach has already become a part of the drug development process implemented by our strategic partners: there are more than 100 completed projects in collaboration with leaders of pharmaceutical industry. For more information about InSysBio, its solutions and services, visit www.insysbio.com.
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06 Nov 2018 17:27
Investigation of amyloid pathology mechanisms and prediction of clinical trial results using QSP model
InSysBio presents the video of Tatiana Karelina’s talk in framework of session “From translational PKPD models to quantitative system pharmacology in neurodegeneration drug development” at the 9th American Conference on Pharmacometrics (ACoP9):
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26 Nov 2018 14:03
InSysBio updates Immune Response Template online
InSysBio, a pioneer in Quantitative Systems Pharmacology (QSP) modeling and simulation for drug development, today announced a release of updated version of Immune Response Template (IRT) online. The main update in new 2.1.0 version is myeloid-derived suppressor cells (MDSCs). Published human in vitro and in vivo data were analyzed to reconstruct monocytic MDSCs (Mo-MDSCs) and granulocytic MDSCs (Gr-MDSCs) life cycles, derive equations and identify parameters.
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