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SYNTHIA: synthetic data generation framework for healthcare applications
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
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Sustainable COVID-19 Vaccination for Long-term Immunity and Effectiveness
We take part in the European SOLVE project, which aims to develop advanced vaccine technologies for stronger and longer-lasting protection against COVID-19. Within this project, our team builds and maintains a system for managing and analyzing high-dimensional data generated during vaccine trials. W
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Creating a spatially-resolved omics reference database in oncology
We are part of the MOSAIC consortium, which aims to build the largest reference dataset in spatial omics for oncology. This dataset will help uncover treatment resistance mechanisms and improve patient stratification, ultimately paving the way for the discovery and development of personalized therap
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Predictive biomarkers of response to immune checkpoint inhibitors
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
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AI-driven Atlas for Spatial Proteomics
We develop a generative AI toolkit for spatial proteomics, capable of virtually staining tissue images for different protein types, harmonizing existing data, and creating a unified atlas of human cancer. This project, funded by the Chan Zuckerberg Initiative, aims to develop a generative AI toolkit
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Genome of Switzerland
We are participating in this collaborative project aimed at better understanding the distribution of genetic variations among Swiss population. This information will help to better identify the genetic causes of diseases and improve personalized medical care. A nationwide initiative designed to gene
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Medical, multilingual and privacy-preserving natural language processing in the clinical domain
We develop multilingual natural language processing tools to securely analyze and summarize clinical notes, improve pharmacovigilance, and enhance patient understanding of medical information. For this project, funded by the Swiss National Science Foundation, we are developing advanced tools using a
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Développement du BioHub de la Skin Science Foundation
L’objectif de l’étude est de poursuivre le développement du BioHub de la Skin Science Foundation afin d’accélérer et de faciliter la standardisation, le partage et la réanalyse des données. Cette initiative vise à faire progresser la science fondée sur les big data et la médecine de nouvelle générat
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Cartographie de l’expression génique : méthodes computationnelles basés sur la transcriptomique spatiale
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
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Comprendre et prévenir l’arrêt cardiaque grâce à l’analyse du génome
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