May 24, 2018
InSysBio announces their participation at PAGE 2018 27th Meeting being held from 29 May to 1 June 2018 in Montreux, Switzerland. InSysBio welcomes visitors at the booth B1. InSysBio is also presenting four posters.
Wednesday, May 30 (10:10-11:40):
Thursday, May 31 (09:55-11:30):
Thursday, May 31 (15:10-16:40):
In addition, Etienne Pigeolet from Novartis will present a poster co-authored with InSysBio scientists Tatiana Karelina, Alexandra Urusova and Oleg Demin on Thursday, May 31 (15:10-16:40):
About InSysBio
InSysBio (formerly Institute for System Biology Moscow) 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 quantitative systems pharmacology (QSP) modeling. InSysBio’s innovative approach has already become a part of the drug development process implemented by our strategic partners: nowadays there are more than 100 completed projects in collaboration with leaders of pharmaceutical industry. The company has published multiple scientific studies in various therapeutic areas. InSysBio team is developing software and tools for QSP and continuously improves methods for biological modeling. 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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