InSysBio to take part in PAGE 2021

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Conference
August 18, 2021

August 18, 2021

InSysBio announces its participation in PAGE 2021 Online meeting which is to be held on the 2nd, 3rd, 6th, and 7th of September 2021. InSysBio team is going to present its latest development at the Virtual Exhibition e-booth and six posters, namely:

Poster session 1.
Friday, Sep 3, 2021,
12:00 PM - 1:00 PM

Poster session 2.
Monday, Sep 6, 2021,
12:00 PM - 1:00 PM

Visit our booth and follow our presenters!

About InSysBio

InSysBio is a Quantitative Systems Pharmacology (QSP) company located in Moscow, Russia (INSYSBIO LLC) and Edinburgh, UK (INSYSBIO UK LIMITED). 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.

November 2018
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1. 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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1. 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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