Developing a robust computational pipeline for model-based and data-driven phenotype clustering
Systems Pharmacology
Building computational frameworks to support drug discovery and personalized medicine
We combine molecular, cellular, preclinical, and clinical data from different sources to build a systems view of biological processes in healthy and disease condition, setting the basis for mechanistic models and mathematical descriptions of both complex and rare disorders. By integrating preclinical with clinical data, our models enable to identify new targets and biomarkers, simulate disease progression, identify patient subgroups and predict drug efficacy, guiding the advance of small molecules and biological agents through the various phases of their development.
Our focus
Case Studies
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