InSysBio to present at PEGS Boston

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March 26, 2019

March 26, 2019

InSysBio announces their participation at 15th Essential Protein Engineering Summit being held on April 8-12 in Boston, MA. The company welcomes visitors at the booth #200. Also InSysBio is presenting a poster “Selection of First-in-Human Study Dose for Antibodies and Antibody Constructs Using Quantitative Systems Pharmacology Modeling” by Oleg Demin Jr.

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 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 insysbio.com.

April 2022
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1. 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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1. 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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