Book:LIMSjournal - Fall 2023
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LIMSjournal - Fall 2023: Volume 9, Issue 3
This collection of 13 open-access journal articles loaded to LIMSwiki in July–September 2023 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. Cannabis analysis and research
- Combined ambient ionization mass spectrometric and chemometric approach for the differentiation of hemp and marijuana varieties of Cannabis sativa (Chambers et al. 2023)
- High levels of pesticides found in illicit cannabis inflorescence compared to licensed samples in Canadian study using expanded 327 pesticides multiresidue method (Gagnon et al. 2023)
- Cadmium bioconcentration and translocation potential in day-neutral and photoperiod-sensitive hemp grown hydroponically for the medicinal market (Marebesi et al. 2023)
- 2. Health informatics
- Transforming healthcare analytics with FHIR: A framework for standardizing and analyzing clinical data (Ayaz et al. 2023)
- Guideline for software life cycle in health informatics (Hauschild et al. 2022)
- FAIR Health Informatics: A health informatics framework for verifiable and explainable data analysis (Siddiqi et al. 2023)
- 3. Laboratory informatics and management
- Autonomous experimental systems in materials science (Ishizuki et al. 2023)
- Establishing reliable research data management by integrating measurement devices utilizing intelligent digital twins (Lehmann et al. 2023)
- Laboratory automation, informatics, and artificial intelligence: Current and future perspectives in clinical microbiology (Mencacci et al. 2023)
- 4. Laboratory informatics applications
- A web application to support the coordination of reflexive, interpretative toxicology testing (Pablo et al. 2023)
- Development of an integrated and comprehensive clinical trial process management system (Shen et al. 2023)
- NIMS-OS: An automation software to implement a closed loop between artificial intelligence and robotic experiments in materials science (Tamura et al. 2023)
- Registered data-centered lab management system based on data ownership security architecture (Zheng et al. 2023)
