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Interlaboratory comparison of particle filtration efficiency testing equipment.
J Occup Environ Hyg
January 2025
Metrology Research Centre, National Research Council Canada, Ottawa, Ontario, Canada.
Particle filtration efficiency (PFE) is a critical property of face masks, with the most common test methods using sodium chloride as a challenge aerosol. In the absence of bottom-up uncertainty budgets for PFE, interlaboratory comparisons provide an alternative route to robustly quantify the precision and bias of the method. This work presents the results of several interlaboratory comparisons of particle filtration efficiency performed across a network of laboratories.
View Article and Find Full Text PDFNovel pain assessment tool specific for pulp symptoms to aid diagnosis.
Int Endod J
January 2025
Division of Conservative Dentistry and Endodontics, Centre for Dental Education and Research, All India Institute of Medical Sciences, New Delhi, India.
Aim: Although many pain assessment tools exist, none are specific to the relatively unique presentation of pulpal pain. The aim of this study was to develop and validate a novel pain assessment tool based on pulp symptoms.
Methodology: A preliminary list of items best-describing pulpitis was developed based on deductive and inductive approaches and the preliminary tool was piloted (n = 80).
Quality Control and Validation Issues in LC-MS-Based Metabolomics.
Methods Mol Biol
January 2025
Division of Systems Medicine, Department of Metabolism Department of Metabolism, Digestion and Reproduction, Imperial College, London, UK.
Metabolic profiling performed using untargeted metabolomics of different, complex biological samples aims to apply agnostic/holistic, hypothesis-free, analysis of the small molecules that are present in the analyzed sample. This approach has been the center of major investments and dedicated efforts from the research community for many years. However, limitations and challenges remain, particularly with regard to the validation and the quality of the obtained results.
View Article and Find Full Text PDFDifferences in technical and clinical perspectives on AI validation in cancer imaging: mind the gap!
Eur Radiol Exp
January 2025
Computational Clinical Imaging Group (CCIG), Champalimaud Research, Champalimaud Foundation, Lisbon, Portugal.
Good practices in artificial intelligence (AI) model validation are key for achieving trustworthy AI. Within the cancer imaging domain, attracting the attention of clinical and technical AI enthusiasts, this work discusses current gaps in AI validation strategies, examining existing practices that are common or variable across technical groups (TGs) and clinical groups (CGs). The work is based on a set of structured questions encompassing several AI validation topics, addressed to professionals working in AI for medical imaging.
View Article and Find Full Text PDFTranslation, cross-cultural adaptation and psychometric evaluation of the Serbian Ankylosing Spondylitis Quality of Life (ASQoL) Questionnaire (refers to r-axSpA) and its relations with disease activity and functional status indices.
J Patient Rep Outcomes
January 2025
Institute of Rheumatology, Belgrade, Serbia.
Objectives: To translate, cross-culturally adapt and validate the Serbian Ankylosing Spondylitis Quality of Life (ASQoL) questionnaire, e.g. according to the new nomenclature Radiographic-Axial Spondyloarthritis (r-axSpA), and to relate it to disease activity and functional status domains.
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