News & Events

Moscow, Russia - 21 June, 2017. InSysBio scientific group led by Tatiana Karelina developed a quantitative system pharmacology model of Alzheimer’s disease. First part published in CPT PSP shows how to design initial phases of clinical trials of new drugs and to interpret the data obtained.

Moscow, Russia - May 23, 2017. InSysBio CEO Oleg Demin gives a talk at the 6th FIP Pharmaceutical Sciences World Congress2017. He will speak about how to use QSP modeling to investigate drug safety at different stages of development.

Moscow, Russia – March 28, 2017. On the 1st April, Tatyana Karelina, ISBM leading specialist in neurodegenerative field, will present a poster entitled "Amyloid toxicity and different mechanisms of action for amyloid-targeted treatments studied by quantitative systems pharmacology model" at the 13th International Conference on Alzheimer's and Parkinson's Diseases and Related Neurological Disorders to be held on March 29 - April 2, Vienna, Austria.

Institute for Systems Biology Moscow – a company, providing modeling services for innovative drug design, announced participation in ASCPT 2017 Meeting, which is held on 15-18 March in Washington, DC. ISBM will present several studies and demonstrate an updated version of platform for quantitative systems pharmacology modeling of immune response - Immune Response Template (IRT).

20-22 February 2017 the 10th ISBM Enclosed Conference was held. For ten years the employees annually have been meeting together to share their scientific results and talk over future plans. ISBM did a great job in this working year.

Moscow, Russia - February 2, 2017. Institute for Systems Biology Moscow (ISBM) announced the recent update of the Immune Response Template (IRT) platform and its online demo. The project aimed to integrate and visualize available data on immune cells, cytokine, chemokines and other mediators interactions in human. IRT is a unique tool due to its focus on quantitative systems pharmacology (QSP) modeling. Using the platform modelers in pharmaceutical companies can strongly improve the drug R&D process.