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algorithms for asthma. The methods to be employed will include cell culture, transcriptomics, proteomics, multiplex assays, flow cytometry, and machine learning. This project combines expertise in cell biology
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profiling and proteomics, to identify key regulatory pathways. A strong translational dimension is embedded in the project. Building on robust preliminary data generated within the host laboratory
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cardiovascular disease, chronic kidney disease, cancer and chronic inflammatory disease. For more information: https://www.cordis.europa.eu/project/id/101225380 Cardiovascular disease (CVD) is the leading cause
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