ACoP13

InSysBio to take part in ACoP13

events

Conference

October 12, 2022

InSysBio announces its participation in the Thirteenth American Conference on Pharmacometrics (ACoP13) which is to be held in person from October 30th to November 2nd, 2022, at the Gaylord Rockies Resort & Convention Center in Aurora, Colorado. The theme of ACoP13 is “Together Moving Mountains”. InSysBio team is going to present 7 posters in frames of the Conference, namely:

Monday, October 31

M-006: "Virtual Patients Parallel Simulations in a Hybrid Cloud Environment" by Ivan Borisov, Evgeny Metelkin, Tatiana Karelina, Oleg Demin
M-057: "Quantitative systems pharmacology model for neurofilament L dynamics in multiple sclerosis and under immunomodulatory therapies" by Polina Pchelintseva

Tuesday, November 1

T-040: "Quantitative systems pharmacology modeling of immune response role in Parkinson’s disease" by Tatiana Karelina
T-051: "Methodological aspects of rate law derivation of cell dynamics processes: focus on QSP model development" by Oleg Demin, Maria Mironovich, Julia Sergienko
T-054: "Estimation of Imax and IC50 for PD1-PDL1 inhibition of T cell proliferation" by Oleg Demin
T-061: "The QSP model of microglia role in tau pathology and neurodegeneration" by Stepan Lerner
T-065: "Pharmacokinetics modeling and optimal dose prediction for a bispecific antibody against CD40 and PD1" by Alexandra Diakonova, Oleg Demin Jr, Dmitry Shchelokov, Oleg Demin

About InSysBio

InSysBio is a Quantitative Systems Pharmacology (QSP) company located in Edinburgh, UK (INSYSBIO UK LIMITED), Cyprus (INSYSBIO CY Ltd) and Moscow, Russia (INSYSBIO LLC). 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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17	18	19 1. 19 May 2021 16:52 InSysBio to upgrade its SbmlViewer application [Moscow – 19.05.2021] InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, launches the new version (0.3.0) of its SbmlViewer open project. Generally, SbmlViewer is a tool for fast and easy reading and transformation of biological models written in SBML format.	20	21	22	23
24	25 1. 25 May 2021 17:38 InSysBio to take part in SMB 2021 InSysBio announces its participation in Society of Mathematical Biology Annual Meeting (SMB 2021) which is to be held virtually this year June 13-17, 2021. InSysBio team is going to present 4 posters and Oleg Demin Jr is going to give a presentation "Implementation of variability or uncertainty in parameter values to validate QSP models." and Ivan Borisov is going to give a talk "Constrained Optimization Approach to Predictability Analysis in Bio-Mathematical Modeling."	26	27	28	29	30
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Upcoming Events

Mo	Tu	We	Th	Fr	Sa	Su
←	May 2021					→
					1	2
3	4	5	6	7	8	9
10	11	12	13	14	15	16
17	18	19 1. 19 May 2021 16:52 InSysBio to upgrade its SbmlViewer application [Moscow – 19.05.2021] InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, launches the new version (0.3.0) of its SbmlViewer open project. Generally, SbmlViewer is a tool for fast and easy reading and transformation of biological models written in SBML format.	20	21	22	23
24	25 1. 25 May 2021 17:38 InSysBio to take part in SMB 2021 InSysBio announces its participation in Society of Mathematical Biology Annual Meeting (SMB 2021) which is to be held virtually this year June 13-17, 2021. InSysBio team is going to present 4 posters and Oleg Demin Jr is going to give a presentation "Implementation of variability or uncertainty in parameter values to validate QSP models." and Ivan Borisov is going to give a talk "Constrained Optimization Approach to Predictability Analysis in Bio-Mathematical Modeling."	26	27	28	29	30
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