April 4, 2022
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, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK, and online via Zoom.
Oleg Demin Jr, InSysBio Scientific & Marketing Director, Oncology & Immuno-Oncology, will give a talk in frames of Theme 1: Combination Therapy.
Monday, April 25, 11:20-11:45
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 100 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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02 Oct 2025 13:23
InSysBio to announce participation in BioTechX Europe 2025 with focus on AI and QSP
InSysBio announces their participation in BioTechX Europe 2025. Oleg Demin, Chief Scientific Advisor and co-founder of InSysBio, and Igor Goryanin, Professor at University of Edinburgh, will host a roundtable discussion entitled, "Integrating Artificial Intelligence with Quantitative Systems Pharmacology (QSP): Opportunities and Challenges"
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16 Oct 2025 12:13
InSysBio to introduce a new data annotation service available in CYTOCON DB and fIVE DB
InSysBio launches a new data annotation service designed to support researchers and analysts who require specific, literature-based biological data to be added to InSysBio’s CYTOCON or fIVE databases for use in QSP modeling, analysis, or decision-making. The new service allows clients to submit targeted data requests related to diseases, tissues, cell types, and cytokines
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