August 6, 2021
InSysBio will take part in Annual Biomarkers for Alzheimer’s Disease Summit, Digital Event which is going to be held August 24-26, 2021. InSysBio will present its Neurodegeneration modeling issues and Alzheimer’s Disease Platform update at its Virtual Booth!
Moreover, Tatiana Karelina, Head of Neurodegenerative Diseases Modeling Team, will give a talk on the topic “Mechanistic modeling approach to prediction and analysis of clinical trial results in neurodegeneration area”.
Tatiana is going to shed the light on the following points:
10:35 EDT | 07:35 PDT on Wednesday, August 25.
Visit our Virtual Booth and follow our speaker!
About InSysBio
InSysBio is a Quantitative Systems Pharmacology (QSP) company located in Moscow, Russia (INSYSBIO LLC) 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 innovative QSP approach has already become a part of the drug development process implemented by our strategic partners: there are more than 120 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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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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