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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19 May 2021 16:52
InSysBio to upgrade its SbmlViewer application
[Moscow – 19.05.2021] InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, launches the new version (0.3.0) of its SbmlViewer open project. Generally, SbmlViewer is a tool for fast and easy reading and transformation of biological models written in SBML format.
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25 May 2021 17:38
InSysBio to take part in SMB 2021
InSysBio announces its participation in Society of Mathematical Biology Annual Meeting (SMB 2021) which is to be held virtually this year June 13-17, 2021. InSysBio team is going to present 4 posters and Oleg Demin Jr is going to give a presentation "Implementation of variability or uncertainty in parameter values to validate QSP models." and Ivan Borisov is going to give a talk "Constrained Optimization Approach to Predictability Analysis in Bio-Mathematical Modeling."
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