As part of the European IMMUcan project (Integrated iMMUnoprofiling of large adaptive CANcer patient cohorts), we are working on identifying new predictive biomarkers of response to immune checkpoint inhibitors. IMMUcan is a European consortium which focuses on uncovering the role of the tumor micro
We develop a decision-support system based on a medical language model, capable of processing commonly available information and providing recommendations to emergency department clinicians, with the goal of reducing low-value care. This project, funded by the Swiss National Science Foundation, aims
This project aims to promote the responsible use of synthetic data in health research and innovation. It addresses challenges related to data confidentiality and complexity through innovative techniques for generating multimodal and longitudinal datasets. The open platform SYNTHIA will provide valid
We evaluate genotyping versus low-coverage whole-genome sequencing for detecting variants in pharmacogenes, to identify the most reliable method for clinical use and inform standardized genome-based protocols to prevent adverse drug reactions. This research project aims to advance personalized medic
Nous développons de nouvelles méthodologies statistiques adaptées aux données de transcriptomique spatiale afin d’améliorer la qualité et l’analyse des données, et d’accélérer les découvertes biomédicales. Au cours de la dernière décennie, la recherche biomédicale a bénéficié de la croissance des te
La mort subite cardiaque (MSC) est une cause majeure de décès et est difficile à prédire, bien que sa fréquence soit plus élevée chez les patients atteints de maladie coronarienne. Nos recherches visent à identifier les variations génétiques associées à la MSC à partir de l'analyse des génomes des p
We create predictive models that go beyond observation to simulate how biological systems respond to drug, genetic or immunotherapy perturbations, supporting virtual experimentation that accelerates hypothesis generation and therapeutic prioritization. In the Perturb theme, we develop AI/ML models t
CHORUS, a secure processing environment developed at CHUV, enables reliable sharing of biomedical data and collaboration among research teams. By combining advanced encryption with rigorous authentication protocols, CHORUS promotes biomedical innovation while protecting sensitive patient information
Le Centre universitaire de traitement et réadaptation (CUTR) Sylvana est spécialisé dans l’accompagnement des patient-es nécessitant une réadaptation physique ou cognitive à la suite d’une maladie ou d’un accident. Il a pour mission de favoriser le retour à domicile et d’aider chacun-e à retrouver u