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1. Artificial intelligence and machine learning
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Geochemical biodegraded oil classification using a machine learning approach (Bispo-Silva ''et al.'' 2023)
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Critical analysis of the impact of AI on the patient–physician relationship: A multi-stakeholder qualitative study (Čartolovni ''et al.'' 2023)
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Judgements of research co-created by generative AI: Experimental evidence (Niszczota and Conway ''et al.'' 2023)
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Hierarchical AI enables global interpretation of culture plates in the era of digital microbiology (Signoroni ''et al.'' 2023)
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Data management challenges for artificial intelligence in plant and agricultural research (Williamson ''et al.'' 2023)
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2. Data management in the lab
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Ten simple rules for managing laboratory information (Berezin ''et al.'' 2023
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SODAR: Managing multiomics study data and metadata (Nieminen ''et al.'' 2023)
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3. Informatics applications and concepts
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GitHub as an open electronic laboratory notebook for real-time sharing of knowledge and collaboration (Scroggie ''et al.'' 2023)
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A blockchain-driven IoT-based food quality traceability system for dairy products using a deep learning model (Manisha and Jagadeeshwar 2023)
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Why do we need food systems informatics? Introduction to this special collection on smart and connected regional food systems (Tomich ''et al.'' 2023)
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4. Laboratory quality
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Sigma metrics as a valuable tool for effective analytical performance and quality control planning in the clinical laboratory: A retrospective study (Karaattuthazhathu ''et al.'' 2023)
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Knowledge of internal quality control for laboratory tests among laboratory personnel working in a biochemistry department of a tertiary care center: A descriptive cross-sectional study (Mishra ''et al.'' 2023)
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Effect of good clinical laboratory practices (GCLP) quality training on knowledge, attitude, and practice among laboratory professionals: Quasi-experimental study (Patel ''et al.'' 2023)
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