Book:LIMSjournal - Spring 2024
From LIMSWiki
Jump to navigationJump to searchThe printable version is no longer supported and may have rendering errors. Please update your browser bookmarks and please use the default browser print function instead.
|
This is a LIMSwiki book, a collection of LIMSwiki articles that can be easily saved, rendered electronically, and ordered as a printed book. |
||||||||
| Edit this book: | Book Creator · Wikitext | ||||||||
| Select format to download: | |||||||||
| Order a printed copy from these publishers: | PediaPress | ||||||||
| [ Start ] [ FAQ ] [ Basic help ] [ Advanced help ] [ Feedback ] [ Recent Changes ] | |||||||||
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)
