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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07 Jul 2021 12:40
InSysBio to present its posters at AAIC 2021
InSysBio announces its participation in AAIC 2021 (Online). Alzheimer's Association International Conference is held in Denver, USA and Online in July 26-30, 2021. InSysBio Neurodegeneration Diseases team presents two posters within its frames
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22 Jul 2021 16:03
InSysBio to present Immune Response Template v. 3.5.0
Now IRT gets significant update and a portion of new data
[Moscow – 22.07.2021] InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, launches Immune Response Template (IRT) version 3.5.0.
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28 Jul 2021 16:26
InSysBio to take part in ESMO Congress 2021
InSysBio announces its participation in ESMO (European Sosiety For Medical Oncology) Virtual Congress 2021 which is held on September 16-21. InSysBio team's abstract was accepted
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