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cells, aiming to enhance treatment efficacy and contribute with new discoveries in cancer biology. Our models cover metabolism, signaling, and gene regulation, and we train them on extensive high
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) experimentally addresses fundamental problems in molecular cell biology, integrative biology, and infection and immunobiology. State-of-the-art and advanced methodologies are applied in a professional research
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to improve personalized cancer treatment by increasing the understanding of cancer biology at the proteome level. This enables the development of novel therapeutic strategies as
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, scientific software development and high-performance computing. The division is currently in an expansive phase in new emerging areas such as cloud and fog computing, data science, and artificial intelligence
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environment for research and teaching. Research at IMBIM) broadly spans the areas of biochemistry, cell and molecular biology, tumour biology, comparative genetics, functional genomics, immunology, bacteriology