At Euretos, we are driven by a deep desire to unravel the complexities of human disease biology. We are convinced that understanding disease on a molecular level reduces risk and cost of therapy development. This leads to better and safer treatment options for more patients.
Proliferation of molecular biological research technologies allow for more granular understanding of physiological processes but is accompanied by an escalation of data variety and volume. By connecting data scientists to experienced biological researchers in our multi-disciplinary teams, we leverage the richness in data to develop state of the art computational disease models which can be readily applied to various challenges in the drug development process.
We work with our partners in the bio-pharmaceutical industry to transform drug development through our data-driven disease insights.
AI Driven Disease Modelling
Our machine reading technology interprets and connects hundreds of public databases and millions of scientific publications to provide the largest knowledge base where multi omics data is interlinked to literature, patents, experimental and clinical evidence
State-of-the-art Machine & Deep Learning algorithms for cell type deconvolution, co-expression prediction and target perturbation analysis leverage this unique knowledge base to create highly insightful molecular disease models.
These unique assets enable (pre)clinical researchers to take a translational systems biology approach by connecting multi-omics interactions, through cell-type involvement, to downstream pathways, phenotypes and disease pathologies.
Euretos Offices
Euretos Europe
Visiting Address:
Utrecht Science Park,
Yalelaan 1
3584 CL, Utrecht
Call: +31 30-2536886
KVK#: 77761596
VAT#: NL 861131824.B01
Euretos USA
Visiting Address:
One Beacon Street
Boston
MA 02108
Email: information [at] euretos.com
General Terms and Conditions
These are the general terms and conditions which apply to the services Euretos provides and the access to the Euretos AI Platform. These may be changed from time to time.
