The continuous emergence of New Psychoactive Substances enter-ing the illegal markets poses always new challenges to forensic and clinical toxicology laboratories facing the lack of analytical methods capable of determining the newer parent compounds and eventual metabolites. More than 50 new molecules have been reported by the European Monitoring Centre for Drugs and Drug Addiction only in 2021, further expanding the panel of target analytes. However, the implementation of new detection methodologies may not be viable due to time constraints and inadequate resources. To this concern, the updatable analytical screening methods constitute a powerful tool for pharmacotoxicological laboratories investigating both non biological seizure materials and conventional and non conventional matrices coming from intoxications and fatalities of drugs consumers.
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http://dx.doi.org/10.7417/CT.2022.2438 | DOI Listing |
BMC Ecol Evol
June 2024
Global Biodiversity Information Facility, Universitetsparken 15, Copenhagen, 2100, Denmark.
Background: Understanding biodiversity patterns is a central topic in biogeography and ecology, and it is essential for conservation planning and policy development. Diversity estimates that consider the evolutionary relationships among species, such as phylogenetic diversity and phylogenetic endemicity indices, provide valuable insights into the functional diversity and evolutionary uniqueness of biological communities. These estimates are crucial for informed decision-making and effective global biodiversity management.
View Article and Find Full Text PDFClin Ter
July 2022
Department of Excellence of Biomedical Science and Public Health, Faculty of medicine, University "Politecnica delle Marche", Ancona, Italy.
The continuous emergence of New Psychoactive Substances enter-ing the illegal markets poses always new challenges to forensic and clinical toxicology laboratories facing the lack of analytical methods capable of determining the newer parent compounds and eventual metabolites. More than 50 new molecules have been reported by the European Monitoring Centre for Drugs and Drug Addiction only in 2021, further expanding the panel of target analytes. However, the implementation of new detection methodologies may not be viable due to time constraints and inadequate resources.
View Article and Find Full Text PDFLancet Digit Health
July 2022
Institute of Health Informatics, University College London, London, UK; British Heart Foundation Research Accelerator, University College London, London, UK; University College London Hospitals Biomedical Research Centre, University College London, London, UK; British Heart Foundation Data Science Centre, Health Data Research UK, London, UK; Health Data Research UK, London, UK. Electronic address:
Front Soil Sci
October 2021
United States Geological Survey (USGS), Wetland and Aquatic Research Center, Lafayette, LA 70506.
Wetland soil stocks are important global repositories of carbon (C) but are difficult to quantify and model due to varying sampling protocols, and geomorphic/spatio-temporal discontinuity. Merging scales of soil-survey spatial extents with wetland-specific point-based data offers an explicit, empirical and updatable improvement for regional and continental scale soil C stock assessments. Agency-collected and community-contributed soil datasets were compared for representativeness and bias, with the goal of producing a harmonized national map of wetland soil C stocks with error quantification for wetland areas of the conterminous United States (CONUS) identified by the USGS National Landcover Change Dataset.
View Article and Find Full Text PDFJ Am Med Inform Assoc
October 2021
Section of Informatics and Data Science, Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, USA.
Objective: To rapidly develop, validate, and implement a novel real-time mortality score for the COVID-19 pandemic that improves upon sequential organ failure assessment (SOFA) for decision support for a Crisis Standards of Care team.
Materials And Methods: We developed, verified, and deployed a stacked generalization model to predict mortality using data available in the electronic health record (EHR) by combining 5 previously validated scores and additional novel variables reported to be associated with COVID-19-specific mortality. We verified the model with prospectively collected data from 12 hospitals in Colorado between March 2020 and July 2020.
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