20-22 February 2017 the 10th ISBM Enclosed Conference was held. For ten years the employees annually have been meeting together to share their scientific results and talk over future plans. ISBM did a great job in this working year.
Seven big projects with international pharmaceutical companies were completed. Two research papers co-authored with colleagues from other organizations were published in PLOS Computational Biology and CPT: Pharmacometrics & Systems Pharmacology.
ISBM took part in 2 exhibitions and 4 important conferences, the employees presented their reports and posters on The International Liver Congress 2016, Population Approach Group in Europe 2016 Meeting (PAGE 2016), American Society for Clinical Pharmacology and Therapeutics 2016 Meeting (ASCPT 2016) and 6th American Conference on Pharmacometrics (ACoP6). And ISBM CEO, Oleg Demin, won the Quality Award for his oral presentation at the ACoP6.
We released an updated version of the Immune Response Template (IRT), a platform for Quantitative Systems Pharmacology modeling in the immune oncology field. It’s a big step for further QSP platform solutions development.
A new working year starts from the very important event – ASCPT 2017 Meeting. ISBM presents 8 posters and the IRT stand at the Exhibition. We will write about it in more details soon.
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18 Nov 2019 19:58
Course “Modeling for systems biology and biomedicine” at the Faculty of Bioengineering and Bioinformatics
This year InSysBio CEO Dr Oleg Demin with expert modelers Tatiana Karelina and Evgeny Metelkin and modelers Dmitry Shchelokov, Svetlana Rubina and Veronika Musatova are giving the course “Modeling for systems biology and biomedicine” at the Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University.
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25 Nov 2019 18:47
PK/RO simulator for anti-PD-1 mAbs
InSysBio, a pioneer in Quantitative Systems Pharmacology (QSP), modeling and simulation for drug development, announced the launch of application ‘PK/RO simulator for anti-PD-1 mAbs’. The application is based on the model allowing to predict pharmacokinetics and target binding in human for therapeutic antibodies against PD-1 receptor.
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