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Centre de la science des données biomédicales
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Join Us
The Biomedical Data Science Center at CHUV brings together clinicians, data scientists, and researchers to advance biomedical research through data science and AI. We welcome motivated candidates at all career stages to join our growing and collaborative environment. Open Positions We currently have
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Legal notice
These legal notices apply to all websites operated by the Centre hospitalier universitaire vaudois (CHUV). Limitation of Liability The information provided on all CHUV websites is intended to support, not replace, the relationship between patients or website visitors and healthcare professionals. Al
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Contact us
Whether you wish to learn more about our projects or need support from our specialists, feel free to contact us using the form below. Get in touch for: Collaborating with us We supply data, computational resources and person-hours to cooperate in the realization of your research. Moreover, we are ha
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About us
Background The digital revolution in healthcare: challenges and opportunities Breakthroughs in biotechnology and information technology are redefining modern medical practice. The rise of increasingly powerful computing resources, the development of cutting-edge AI algorithms, and the massive accumu
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Terms of Use
This contact form is intended for your questions or suggestions related to our Institution. Please take note of the following points before sending us a message: Requests for Medical Advice and Confidential Information For confidentiality and to ensure the quality of your care, we are unable to resp
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Impressum
This website is operated by the Centre hospitalier universitaire vaudois (CHUV). The CHUV is a public institution of the State of Vaud and is part of the Department of Health and Social Action. As such, this website is funded by the State of Vaud and does not receive advertising revenue. Editorial B
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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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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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