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1. Cannabis analysis and research
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A metabolomics and big data approach to cannabis authenticity (authentomics) (Jadhav ''et al.'' 2023)
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Potency and safety analysis of hemp-derived delta-9 products: The hemp vs. cannabis demarcation problem (Johnson ''et al.'' 2023)
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2. Informatics for food safety
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Developing a framework for open and FAIR data management practices for next generation risk- and benefit assessment of fish and seafood (Pineda-Pampliega ''et al.'' 2022)
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A quality assurance discrimination tool for the evaluation of satellite laboratory practice excellence in the context of European regulatory meat inspection for ''Trichinella spp.'' (Villegas-Pérez ''et al.'' 2023)
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3. Informatics for healthcare
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Benefits of information technology in healthcare: Artificial intelligence, internet of things, and personal health records (Chang ''et al.'' 2023)
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An extract-transform-load process design for the incremental loading of German real-world data based on FHIR and OMOP CDM: Algorithm development and validation (Henke ''et al.'' 2023)
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Thirty years of the DICOM standard (Larobina 2023)
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4. Informatics for materials science
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Shared metadata for data-centric materials science (Ghiringhelli ''et al.'' 2023)
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Integration of X-ray absorption fine structure databases for data-driven materials science (Ishii ''et al.'' 2023)
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The NOMAD Artificial Intelligence Toolkit: Turning materials science data into knowledge and understanding (Sbailò ''et al.'' 2022)
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5. Quality issues in the lab
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Management and disclosure of quality issues in forensic science: A survey of current practice in Australia and New Zealand (Heavey ''et al.'' 2023)
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Quality control in the clinical biochemistry laboratory: A glance (Naphade ''et al.'' 2023)
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Evaluating the effectiveness of a new student-centred laboratory training strategy in clinical biochemistry teaching (Xu ''et al.'' 2023)
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