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In vitro cell culture experiments are highly important techniques to accelerate drug discovery, conduct safety testing and reduce the need for animal studies. Therefore, automatization may help to enhance the technical precision, reduce external (including operator's) influence on the data and thus improve reliability. Prior to application in scientific studies, validation of automated systems is absolutely necessary. In this study we present the validation of two combined automated pipetting systems to conduct toxicity studies in HaCaT cells consisting of cell seeding, noxious agent exposure and several assays to assess cell survival, apoptosis and interleukin production. After initial validation of pipetting accuracy, we compared homogeneity after automated seeding to plates seeded by expert laboratory technicians. Moreover, automated dispensing of a potentially unstable noxious agent was analyzed in terms of speed and consistency. We found a 2 % technical imprecision for the cell survival assay and 4.5-6 % for the other assays, bioluminescent and ELISA techniques. Thus, we could demonstrate the excellent technical precision of our assays. In a final step, we found that intraday variations, though acceptable, were much larger than technical variations and had to assume an intraday biological variability between different wells of the same experimental group.
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http://dx.doi.org/10.1016/j.toxlet.2019.12.003 | DOI Listing |
Abdom Radiol (NY)
September 2025
Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK.
Objectives: The escalating global incidence of obesity, cardiometabolic disease and sarcopenia necessitates reliable body composition measurement tools. MRI-based assessment is the gold standard, with utility in both clinical and drug trial settings. This study aims to validate a new automated volumetric MRI method by comparing with manual ground truth, prior volumetric measurements, and against a new method for semi-automated single-slice area measurements.
View Article and Find Full Text PDFJ Korean Med Sci
September 2025
Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Korea.
Background: Neuropsychological assessments are critical to cognitive care, but are time-consuming and often of variable quality. Automated tools, such as ReadSmart4U, improve report quality and consistency while meeting the growing demand for cognitive assessments.
Methods: This retrospective cross-sectional study analysed 150 neuropsychological assessments stratified by cognitive diagnosis (normal cognition, mild cognitive impairment and Alzheimer's disease) from the Clinical Data Warehouse of a university-affiliated referral hospital (2010-2020).
Acta Anaesthesiol Scand
October 2025
Copenhagen Trial Unit, Centre for Clinical Intervention Research, The Capital Region, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.
Introduction: Electronic health records can be used to create high-quality databases if data are structured and well-registered, which is the case for most perioperative data in the Capital and Zealand Regions of Denmark. We present the purpose and development of the AI and Automation in Anaesthesia (TRIPLE-A) database-a platform designed for epidemiology, prediction, quality control, and automated research data collection.
Methods: Data collection from the electronic medical record (EPIC Systems Corporation, WI, USA) was approved by the Capital Region, Denmark, and ethical approval was waived.
Trauma Surg Acute Care Open
September 2025
UCHealth, Loveland, Colorado, USA.
Introduction: Trauma clinical guidance (guidelines, protocols, algorithms, etc) has been shown to improve patient outcomes; however, it is only used in about half of the patients to whom it applies. Guidance implementation is affected by intrinsic factors (eg, guidance format) as well as extrinsic factors (eg, the clinical environment). Recommendations and frameworks have been created to aid in the development of implementable guidance.
View Article and Find Full Text PDFJDS Commun
September 2025
Animal Science Department, Michigan State University, East Lansing, MI 48824.
This meta-analysis aimed to evaluate the efficacy of automated activity monitoring (AAM) in detecting estrous expression and ovulatory status in cows during the voluntary waiting period (VWP). A comprehensive literature search was conducted in PubMed, ScienceDirect, and Google Scholar using specific search terms. Inclusion criteria focused on studies that assessed estrous expression within the VWP using modern AAM systems alongside blood progesterone (P4) measurements.
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