Skip to content


Swiss Personalized Oncology

Being able, from a large collection of text-based reports, to offer a therapeutic answer to new patient-cases: this is the goal of the Text-Mining group as part of the Swiss Personalized Oncology project (SPHN). Thus, in collaboration with the five Swiss University Hospitals (CHUV, HUG, Insel, USB, USZ), we are experimenting a multiclass categorization tool using deep learning to mine huge collections of past clinical reports, identify therapeutic responses, generate hypotheses and ultimately support the understanding of cancer mechanisms.

Swiss Personalized Oncology

CINECA - Common Infrastructure for National Cohorts in Europe, Canada, and Africa

CINECA project aims to develop a federated cloud-based infrastructure for making genomic and biomolecular data accessible. This project has already assembled a virtual cohort from population, longitudinal and disease studies, such as the European Genome-phenome Archive (EGA), CanDIG, and H3Africa, and has contributed to harmonising metadata based on open global standards. The CINECA consortium will create one of the largest cross-continental implementations of human genetic and phenotypic data federation and interoperability for complex diseases. This project is funded by the European Union’s Horizon 2020 and the Canadian Institute of Health Research.