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News and events

InSysBio to present its posters at AAIC 2020 Virtual Event

CONFERENCE
UPCOMING EVENT

July 27, 2020

InSysBio announces its participation in AAIC 2020 Virtual Event. Alzheimer's Association International Conference is held virtually on July 27-31. InSysBio team presents two posters within its frames

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InSysBio to evolve its Open Source QSP model of COVID-19

PUBLICATION
SOFTWARE

July 24, 2020

InSysBio has presented a new portion of results in the framework of development of COVID-19 QSP model.

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InSysBio to announce the launch of its new tool Heta compiler

PRESS-RELEASE
SOFTWARE

July 6, 2020

Heta compiler has been published on GitHub as an OpenSource

(Moscow-06.07.2020) InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, presents Heta compiler which is a tool for the development of Quantitative Systems Pharmacology and Systems Biology platforms. Particularly, it allows combining modules written in different formats like: Heta language code, Excel sheets, JSON, YAML formatted structures, SBML and transforming them into the dynamic models of different formats.

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InSysBio to present COVID-19 QSP model further development

PUBLICATION
SOFTWARE

June 30, 2020

InSysBio continues to move forward in COVID-19 QSP model development. Its aim is to describe virus and host cell life cycles, innate and adoptive immune response and possible therapeutic treatments.

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InSysBio team posters to be presented at AACR Virtual Annual Meeting II

CONFERENCE
PUBLICATION

June 22, 2020

AACR Virtual Annual Meeting II has begun! American Association for Cancer Research Annual Meeting is held virtually this year on June 22-24 due to COVID-19 spread. Today InSysBio team's posters were published on AACR website

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InSysBio to welcome its new team member Dr. Neil Benson

PRESS-RELEASE

June 17, 2020

InSysBio announces the appointment of Dr. Neil Benson as Principal Consultant in area of business development

(Edinburgh-Moscow-16.06.2020) InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, is proud to announce its new team member Dr. Neil Benson! Dr. Benson has joined InSysBio as Principal Consultant in area of business development of both INSYSBIO LLC and INSYSBIO UK LIMITED. In his capacity as Principal Consultant to InSysBio, he will support further development of the outstanding IO and AD QSP offering of the company.

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InSysBio to release the new version of Cytocon DB 1.1.6.4

SOFTWARE

June 12, 2020

We are glad to announce the release of the new version of Cytocon DB 1.1.6.4. The DB was significantly extended with new data due to well-coordinated workflow of Cytocon DB team and its new members. Namely, 54 diseases, 24 tissues, 42 molecules, 24 cells and 3701 concentrations were introduced.

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InSysBio to perform the first step in development of COVID-19 QSP model

SOFTWARE

June 8, 2020

InSysBio has performed the first step in the direction of development of QSP model of COVID-19 describing virus and host cell life cycles, innate and adoptive immune response and possible therapeutic treatments.

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InSysBio to present IRT Navigator 3

SOFTWARE

June 5, 2020

InSysBio presents IRT Navigator 3 which is an application software providing intuitive interface to work with the Immune Response Template Database in accordance with the user’s needs. It supplies the navigation within the schemes and components and efficient development of QSP models based on IRT Database.

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InSysBio to announce the launch of QSP model of COVID-19

PRESS-RELEASE
SOFTWARE

June 2, 2020

The new open source project to be developed and updated Online

InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, announces the launch of its fundamentally new project in response to the ongoing global threat, the open source QSP model of COVID-19. In accordance with its mission, which is to assist pharmaceutical industry to speed up the delivery of the cure to patients, InSysBio team could not stay aside. Thus, the aim of the new project is to develop QSP model of COVID-19 describing virus and host cell life cycles, innate and adoptive immune response and possible therapeutic treatments.

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