InSysBio to present at AAIC 2018

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Conference
July 17, 2018

July 17, 2018

InSysBio announces their participation at Alzheimer’s Association International Conference (AAIC) 2018 being held July 22-26 in Chicago, IL. InSysBio welcomes visitors at the booth #630. InSysBio will present two posters:

Sunday, July 22:

  • P1-122: “Translational quantitative systems pharmacology model of tauopathies” by Tatiana Karelina and Alexander Stepanov

Monday, July 23:

  • P2-147: “Description of different amyloid toxic species and pathology progression by mechanistic quantitative systems pharmacology model” by Tatiana Karelina, Alexander Stepanov and Alena Zhukova

About InSysBio

INSYSBIO LLC 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 quantitative systems pharmacology (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 www.insysbio.com

January 2021
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1. 14 Jan 2021 14:28 InSysBio to publish the new article on identifiability analysis in PLOS Computational Biology [Moscow – 11.01.2021] InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, has published its recent scientific research on identifiability in PLOS Computational Biology.
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1. 26 Jan 2021 13:14 InSysBio to announce the upgrade of its SbmlViewer application to version 0.2.7 [Moscow – 26.01.2021] InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, launces the new version of its SbmlViewer open project. Generally, SbmlViewer represents a tool for fast and easy reading of biological models written in SBML format.
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