InSysBio announces its participation in SITC 2026 which is to be held from November 4–8, 2026, at Phoenix Convention Center, Phoenix, AZ, USA. InSysBio team is going to present its Mechanistic modeling services and tools to support development of immunotherapies at Booth #737.
Stop by our booth to explore how mechanistic and QSP modeling can help address complex challenges in immunotherapy development, from understanding mechanisms of action to dose selection and optimization.
Our experts will be happy to discuss how our solutions can provide insights and support decision-making throughout the drug development process.
About InSysBio
InSysBio is a group of Quantitative Systems Pharmacology (QSP) companies located in Limassol, Cyprus (INSYSBIO CY Ltd) 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 cutting-edge 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 and innovative biotech companies. 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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