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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01 Oct 2018 12:23
InSysBio Announces Continuation of Collaboration with MedImmune for Quantitative Systems Pharmacology Modeling in Systemic Lupus Erythematosus
InSysBio, a pioneer in Quantitative Systems Pharmacology (QSP), modeling and simulation for drug development, announced today an extension of a collaboration with MedImmune, the global biologics research and development arm of AstraZeneca, for QSP modeling in systemic lupus erythematosus (SLE). The goal is to support the clinical development of anifrolumab, an investigational monoclonal antibody against the type I interferon receptor, by modeling the contributions of key cell types involved in the pathophysiology of lupus that are associated with the type I interferon dysregulation commonly seen with the disease.
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02 Oct 2018 14:05
InSysBio to present at ACoP9
InSysBio announces their participation at Ninth American Conference on Pharmacometrics (ACoP9), to be held October 7th to 10th, 2018, at the Loews Coronado Bay Resort near San Diego, CA. The theme of ACoP9 is “Modeling without Bounds”. InSysBio welcomes visitors at the booth #23.
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09 Oct 2018 15:29
InSysBio starts training course “Modeling for systems biology and biomedicine”
InSysBio expert modelers Dr. Galina Lebedeva, Dr. Tatiana Karelina, Dr. Evgeny Metelkin and Dr. Oleg Demin will give the course “Modeling for systems biology and biomedicine” at the Faculty of bioengineering and bioinformatics, Lomonosov Moscow State University.
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19 Oct 2018 15:49
InSysBio to present at BiotechClub 2018
InSysBio announces their participation at BiotechClub 2018 conference to be held on October 26th at Hyatt Regency Moscow Petrovsky Park. The theme of BiotechClub 2018 is “From Systems Biology to Systems Medicine”.
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24 Oct 2018 13:49
InSysBio to present at ICSB 2018
InSysBio announces their participation at 19th International Conference on Systems Biology (ICSB 2018) to be held October 28th to November 1st, 2018 in Lyon, France.
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