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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04 Apr 2022 11:02
InSysBio to participate in Quantitative Systems Pharmacology for Immuno-Oncology
InSysBio announces its participation in Quantitative Systems Pharmacology for Immuno-Oncology, a joint meeting of the EMBL's European Bioinformatics Institute (EMBL-EBI) & the UK QSP Network which is to be held 25th & 26th April 2022 in person at the EMBL-EBI Main Building, Hinxton, Cambridgeshire, UK
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25 Apr 2022 17:43
InSysBio's ASCPT 2022 Micro-Theater Session on YouTube
InSysBio has published the videos of its presentation in frames of Micro-Theater Session at ASCPT 2022 Annual Meeting on InSysBio YouTube channel. Oleg Demin and Alexander Stepanov covered the topic of Online databases collecting and processing publicly available data that can help in calibration and validation of QSP models.
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