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-source parameters including imaging, proteomic and genomic data as well as life-style patient data from wearables to enable personalised vascular disease management. The VASCUL-AID platform consists of AI
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trustworthy AI-driven platform (VASCUL-AID) that integrates multi-source parameters including imaging, proteomic and genomic data as well as life-style patient data from wearables to enable personalised
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of the Protein Engineering and Proteomics (PEP) group, with connections to the NMBU Nitrogen-group. By examining the intricate breakdown of plant material under denitrifying conditions in freshwater
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, proteomics, gut microbiome analyses, and/or other nutrigenomic tools). Process and perform statistical and bioinformatic analysis of data. To generate scientific communication and publications. The successful
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areas include cancer research, physiology, neuroscience, drug discovery, metabolism, disease mechanisms, proteomics, biomarkers, cardiovascular research, the relationship between structure and function
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impact of novel microbial feed ingredients on fish performance and health, using state-of-the-art tools (including transcriptomics, proteomics, gut microbiome analyses, and/or other nutrigenomic tools
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analyses (genomics, transcriptomics, proteomics, etc.). When such data are compiled for an individual, one may be able to develop therapeutic tools that predict individual response to various treatments and
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biological samples using LC-MS; use bioinformatics tools to integrate the data with proteomics and transcriptomics analyses Collaborate with clinical scientists and analytics specialists to identify and
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of hub molecules and their derivatives in biological samples using LC-MS; use bioinformatics tools to integrate the data with proteomics and transcriptomics analyses Collaborate with clinical scientists