InSysBio announces its participation in AGAH Conference 2026 (The Association for Applied Human Pharmacology) which is to be held from February 25-26, 2026 in Frankfurt, Germany. Oleg Demin, Chief Scientific Advisor and co-founder of InSysBio, is going to present a poster selected for the Poster Pitch at Session 4 Poster Slam:
Thursday, February 26, 09:10–09:15
"Optimization of step-up dosing regimen of T-cell engagers to mitigate cytokine release syndrome using quantitative systems pharmacology modeling: tarlatamab case study" by Oleg Demin Jr, Galina Kolesova, Dmitry Shchelokov
About InSysBio
InSysBio is a group of Quantitative Systems Pharmacology (QSP) companies located in Limassol, Cyprus (INSYSBIO CY Ltd) 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 cutting-edge 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 and innovative biotech companies. 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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