Rechercher
Results
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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
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PROMETEX: Metabolically-instructed personalized therapy selection for prostate cancer
We combine AI with patient-derived cancer cell models (organoids) to analyze tumor cell metabolism at the single-cell level and develop personalized treatments for prostate cancer. Prostate cancer is a complex disease for which treatments are often not effective due to the cancer’s high variability—
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Advancing Mesothelioma Treatment with AI-Enabled Precision Oncology
We integrate different types of data to provide a comprehensive view of the tumor microenvironment and better understand the complex ecosystem of tumors. The study focuses on mesothelioma, a rare cancer for which there is currently no effective treatment. In this project, funded by Swiss Cancer Rese
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AI-driven Insights into the Tumor Microenvironment
We leverage spatial omics technologies and develop interpretable AI models to better understand the complex interactions within the tumor microenvironment and enable more precise and personalized cancer therapies. Cancer research has shown that tumors are complex ecosystems where cancer cells intera