Book:LIMSjournal - Spring 2024

From LIMSWiki
Revision as of 17:06, 1 April 2024 by Shawndouglas (talk | contribs) (Updated)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigationJump to search
LIMSjournal - Spring 2024
Volume 10, Issue 1
Fig1 Scroggie DigDisc2023 2.gif
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:

PDF (A4) · PDF (Letter)

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)