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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09 Nov 2023 16:15
IRT webinars. InSysBio ecosystem to speed up and facilitate QSP model development
InSysBio announces the upcoming webinar on Immune Response Template (IRT) on November 21 & 28, 2023 at 8am PST / 11am EST. This webinar aims to demonstrate how to use InSysBio ecosystem and IRT in particular to speed up and facilitate QSP model development.
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27 Nov 2023 17:45
InSysBio to announce a webinar on CYTOCON organized by ASCPT
InSysBio announces its participation in the upcoming webinar on CYTOCON organized by ASCPT entitled "CYTOCON: The Manually Curated Database of Human In Vivo Cell and Molecule Concentrations" on November 28, 2023, 9AM PT, 12PM ET. This webinar aims to demonstrate key features and application of CYTOCON DB.
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