Book:LIMSjournal - Spring 2024
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LIMSjournal - Spring 2024: Volume 10, Issue 1
This collection of 13 open-access journal articles loaded to LIMSwiki in January–March 2024 is compiled as a convenient, easy-to-access compilation. It is organized alphabetically by topic and then by author, with the author and publication year appearing at the end for your convenience.
- 1. Artificial intelligence and machine learning
- Geochemical biodegraded oil classification using a machine learning approach (Bispo-Silva et al. 2023)
- Critical analysis of the impact of AI on the patient–physician relationship: A multi-stakeholder qualitative study (Čartolovni et al. 2023)
- Judgements of research co-created by generative AI: Experimental evidence (Niszczota and Conway et al. 2023)
- Hierarchical AI enables global interpretation of culture plates in the era of digital microbiology (Signoroni et al. 2023)
- Data management challenges for artificial intelligence in plant and agricultural research (Williamson et al. 2023)
- 2. Data management in the lab
- Ten simple rules for managing laboratory information (Berezin et al. 2023
- SODAR: Managing multiomics study data and metadata (Nieminen et al. 2023)
- 3. Informatics applications and concepts
- GitHub as an open electronic laboratory notebook for real-time sharing of knowledge and collaboration (Scroggie et al. 2023)
- A blockchain-driven IoT-based food quality traceability system for dairy products using a deep learning model (Manisha and Jagadeeshwar 2023)
- Why do we need food systems informatics? Introduction to this special collection on smart and connected regional food systems (Tomich et al. 2023)
- 4. Laboratory quality
- 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)
- 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)
- Effect of good clinical laboratory practices (GCLP) quality training on knowledge, attitude, and practice among laboratory professionals: Quasi-experimental study (Patel et al. 2023)
