Moscow, Russia, July 25, 2017 – InSysBio LLC (www.insysbio.ru), one of the pioneers in Quantitative Systems Pharmacology (QSP) modeling and simulation for drug development, announced today a renewal of multi-year Master Service Agreement with ASTEX Pharmaceuticals, Inc.
Within the framework of this cooperation, InSysBio provides priority support for ASTEX research. This gives an opportunity to access the best practices of InSysBio in the field of QSP modeling, as well as significantly reduce the time of initiation and execution of projects.
The renewal of the ASTEX agreement once again shows that QSP is a necessary technology to support discovery and development of new drugs in oncology and immuno-oncology therapeutic areas. Such an approach improves all stages of the development: it helps to make strategic GO/ NO GO decisions for research, prioritize targets and compounds, interpret results from animal studies and select optimal design(s) for clinical trials.
"We are very pleased ASTEX has chosen to renew our multi-year Master Service Agreement. It underscores that our partners are satisfied with our services and would like to extend this fruitful and reliable collaboration," said Founder and CEO Oleg Demin, PhD.
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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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