August 16, 2023
InSysBio announces its participation in the 14th Annual World Bispecific Summit which is to be held on October 2-4, 2023 at Boston Park Plaza, Boston, MA. Oleg Demin Jr, Scientific Director, QSP modeling in Oncology & Immuno-Oncology, InSysBio will give a talk in frames of Preclinical & Clinical Track - Optimizing Translation into the Clinic to Maximize Bispecific Therapeutic Indexes.
Tuesday, October 3, 12:30 pm
Oleg Demin Jr will cover the following points:
About InSysBio
InSysBio is a group of Quantitative Systems Pharmacology (QSP) companies located in Edinburgh, UK (INSYSBIO UK LIMITED), Limassol, Cyprus (INSYSBIO CY Ltd) and Moscow, Russia (INSYSBIO LLC). 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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