InSysBio to present at AACR Annual Meeting 2019

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Conference
March 22, 2019

March 22, 2019

InSysBio announces their participation at American Association for Cancer Research Annual Meeting 2019 being held on March 29 – April 3 in Atlanta, GA. The company welcomes visitors at the booth #4756. Also InSysBio is presenting two posters:

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 approach has already become a part of the drug development process implemented by our strategic partners: nowadays there are more than 100 completed projects in collaboration with leaders of pharmaceutical industry. The company has published multiple scientific studies in various therapeutic areas. InSysBio team is developing software and tools for QSP and continuously improves methods for biological modeling. For more information about InSysBio, its solutions and services, visit 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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