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information. The techniques include image registration, segmentation, and regression/classification, often include deep learning-base implementations. Together with experts in epidemiology, genetic, and multi
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-pathology/research/genomics-and-neurobiology/asa-johansson The doctoral project is within the fields of pharmacoepidemiology and pharmaco-omics, where we utilize multi-omics molecular data, health-related
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digital biological system for generating labeled data using biology-informed DNNs and GenAI. The objectives will be achieved by combining methods and techniques from separate research fields – (a
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methods in applied mathematics and computational modeling, this specific project aims to uncover new insights into how blood cells form in both healthy and disease states. A key objective is to model
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technologies. We use innovative technologies that combine CRISPR perturbations with spatial transcriptomics—enabling precise tracking of how gene changes influence the tumor’s invasion routes through brain