August 3, 2020
InSysBio has received a new set of results in framework of development of QSP model of COVID-19 describing virus and host cell life cycles, innate and adoptive immune response and possible therapeutic treatments.
Immune Response was introduced in empiric way as was described in materials available at https://github.com/insysbio/covid19-qsp-model
Results:
Simulating model version without Immune Response induction demonstrates that model is able to reproduce self curing dynamics. Indeed,
Limitations of the version of the sub-model:
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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04 Sep 2024 16:07
Now B cells model reflects the current views on the processes
InSysBio launches Immune Response Template (IRT) version 3.6.3. IRT represents a QSP platform of immune system, simultaneously, being a tool for development of models related to immune system
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10 Sep 2024 18:36
InSysBio team to publish the new article in PSPJournal
The new article "Quantitative systems pharmacology model of α-synuclein pathology in Parkinson's disease-like mouse for investigation of passive immunotherapy mechanisms" by Olga Ivanova and Tatiana Karelina was published in PSPJournal at the end of August 2024
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11 Sep 2024 15:25
InSysBio to take part in ACoP 2024
InSysBio announces its participation in the 15th American Conference on Pharmacometrics (ACoP). Oleg Demin Jr, Scientific Director, Oncology & Immuno-Oncology, will be a co-chair and speaker of the session "Advancing QSP: From Virtual Patient To Digital Twin". InSysBio team is going to present its modeling services & software to optimize drug development at the Booth #11 and 9 posters in frames of the Conference
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