Utilization of a manual sampling function as an alternative to the automatic sampling function in the Alco-Sensor IV Black Dot Model has been recognized by the manufacturer to potentially underestimate an individual's true breath alcohol content (BrAC). A controlled human subject study was conducted to analyze the possible breath-sampling differences between the standard automatic technique and three manual techniques. Subjects were dosed with vodka and orange juice and then tested during the descending limb of their BrAC curve. Differences between the automatic and the manual techniques were found to be statistically significant with the three manual techniques underestimating the BrAC. The average maximum difference between the automatic BrAC level, as compared to the lowest manual level in each data set, was 27.9% (median 27.7%) with underestimations from 20.8% to 40.0%. In no instance did any of the manual techniques produce higher BrACs than the automatic technique.
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http://dx.doi.org/10.1093/jat/33.8.521 | DOI Listing |
Lung Cancer
January 2025
Dept. of Medical Oncology, Princess Margaret Cancer Center, Toronto, ON, Canada.
Background: Manual extraction of real-world clinical data for research can be time-consuming and prone to error. We assessed the feasibility of using natural language processing (NLP), an AI technique, to automate data extraction for patients with advanced lung cancer (aLC). We assessed the external validity of our NLP-extracted data by comparing our findings to those reported in the literature.
View Article and Find Full Text PDFJCO Clin Cancer Inform
January 2025
Victorian Cancer Registry, Cancer Council Victoria, Victoria, Australia.
Purpose: Enhancing the speed and efficiency of clinical trial recruitment is a key objective across international health systems. This study aimed to use artificial intelligence (AI) applied in the Victorian Cancer Registry (VCR), a population-based cancer registry, to assess (1) if VCR received all relevant pathology reports for three clinical trials, (2) AI accuracy in auto-extracting information from pathology reports for recruitment, and (3) the number of participants approached for trial enrollment using the AI approach compared with standard hospital-based recruitment.
Methods: To verify pathology report accessibility for VCR trial enrollment, reports from the laboratory were cross-referenced.
Clin Neuropharmacol
December 2024
Hospital del Mar Research Institute, Barcelona, Spain.
Objectives: This scoping review aimed to synthesize the existing data about psilocybin pharmacokinetics to learn what has been described regarding body disposition and safety when psilocybin was used in controlled research settings.
Methods: We performed a scoping literature review following the framework proposed by the JBI manual for evidence synthesis. Controlled clinical trials reporting pharmacokinetic data of psilocybin were considered appropriate for inclusion.
Am J Dermatopathol
December 2024
Department of Cellular Pathology, Hospital El Bierzo, Ponferrada, Spain.
Introduction: The current WHO classification of melanocytic tumors distinguishes 9 pathogenic routes. This classification is based on the conceptual interpretation that melanocytic tumors evolve from benign counterparts, accumulating mutations, eventually developing into melanomas with metastatic and potentially lethal capacity. In this article, we present a molecular study of 2 melanocytic tumors that suggest a "leap" from pathogenic routes IV to I.
View Article and Find Full Text PDFAustralas J Ageing
January 2025
Chulalongkorn University, Bangkok, Thailand.
Objectives: To explore leisure activity types among older adults in Australia and Thailand and how psychological mechanisms of restoration, affiliation and meaning in leisure activities impact subjective well-being (SWB).
Methods: A survey was administered to 125 older adults aged 60 and above (65 from Australia and 60 from Thailand). The survey collected demographic information, self-rated health and SWB.
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