Cosbi

From data to actionable knowledge

We are a systems biology research centre with 15+ years of experience in developing computational platforms for personalized medicine and nutrition

Founded in 2005 by Microsoft Research and The University of Trento and now based in Rovereto (TN), COSBI represents an almost unique research centre which exploits a comprehensive systems biology pipeline starting from the integration of experimental data with knowledge extraction and the identification of biomarker signatures, to network/pathway analysis and modeling and simulation. Based on the key drivers in the relevant scientific and business sectors, COSBI main pillars are the Development of Novel Computational Tools and their application to Systems Pharmacology and Systems Nutrition. COSBI partners with academic and non-academic research centres, pharma, food and biotech companies to promote personalized medicine and nutrition.

Watch our video and discover who we are

COSBI AT A GLANCE

Systems Pharmacology

Systems Nutrition

What we do

  • The available biomedical literature and associated data are growing at an unprecedented rate, exceeding the ability of researchers to make effective use of this knowledge-rich amount of information. Through the conduct of numerous projects, COSBI has developed a significant experience in extracting knowledge from multiple sources and frame it into a systems level context

  • We capture the wealth of experimental data from the ever-increasing number of technologies and information across multiple layers and integrate them into knowledge-based biological networks to build a systems level view of biological processes, and support the identification of targets and biomarkers

  • We combine proprietary and publicly available state-of-the art approaches for the identification of biological signatures allowing the dissection of the biological heterogeneity of a disease, the identification of samples or patients subgroups, as well as the molecular targets underlying the phenotype of interest

  • We combine available experimental data on drug, targets, biomarkers, and information across multiple pathways and layers to obtain a system view of physiological and pathological cellular processes and generate mechanistic knowledge that can be employed to develop mathematical models of disease processes

  • We develop mathematical models of physiological processes in normal and disease conditions, and Quantitative Systems Pharmacology (QSP) models of increased complexity enabling to predict disease progression or treatment efficacy in several conditions

Cosbi - What we doCosbi - What we do
Cosbi - What we do
Cosbi - What we do
Cosbi - What we do
Cosbi - What we do

Partners & Customers

Customer

Sanofi

Pharmaceutical Company
Case Study

Customer

Amgen

Biotechnology company

Customer

Biogen

Biotechnology Company
Case Study

Customer

Vydiant

Biotechnology company

Customer

Bill and Melinda Gates Medical Research Institute

Research Institute
Case Study

Customer

Axcella

Biotechnology company
Case Study

Partner

IEO - Istituto Europeo di Oncologia

Hospital and Research Centre

Partner

CIBIO - University of Trento

University
Case Study

Customer

UCB Pharma

Pharmaceutical Company

Customer

GSK

Pharmaceutical Company
case study

Customer

Vydiant

Biotechnology company

Customer

Amgen

Biotechnology company

Customer

Axcella

Biotechnology company
Case Study

Customer

Biogen

Biotechnology Company
Case Study

Customer

Sanofi

Pharmaceutical Company
Case Study

Customer

Bill and Melinda Gates Medical Research Institute

Research Institute
Case Study

Partner

CIBIO - University of Trento

University
Case Study

Partner

IEO - Istituto Europeo di Oncologia

Hospital and Research Centre

Customer

GSK

Pharmaceutical Company
case study

Customer

UCB Pharma

Pharmaceutical Company

Our testimonials

“Thanks to the scientific excellence characterizing COSBI we have been able to accomplish several scientific goals, ranging from the discovery of new biomarkers to the definition of mathematical models for the immune response.”

system-pharmacology
Emilio Siena Senior Manager Data Scientist GSK Vaccines

“The collaboration between my research group and COSBI has resulted in a robust and validated simulation of metabolic pathways that has led to new discoveries and guided future empirical research. COSBI scientists are outstanding collaborators and colleagues”

system-pharmacology
Patrick J. Stover Vice Chancellor and Dean for Agriculture and Life Sciences Director, Texas A&M AgriLife Research

“Our teams at the U.S. FDA, Nestle Research, and Vydiant have worked with COSBI for 10+ years to analyze multi-dimensional datasets. COSBI scientists successfully developed novel computational and visualization approaches to help us understand the underlying biological processes. We considered COSBI personnel as members of our teams”

system-pharmacology
Jim Kaput Chief Scientific Officer, Vydiant

“COSBI has been a highly effective collaborator across many projects, leveraging the spectrum of computational approaches in data science, systems biology and pharmacology models to address a variety of questions in drug and vaccine R&D ”

system-nutrition
Karim Azer Head of Systems Biology & Discovery at Axcella, former Head of QSP and DMPK Modeling, GMRI

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