We evaluated the precision, accuracy, and durability of the Reflotron portable analyzer as part of the National Heart, Lung, and Blood Institute's Model Systems for Blood Cholesterol Screening Program. We conducted screenings in a wide variety of settings in four Massachusetts communities over a 16-month period. Fingerstick samples from 10,428 individuals were tested on the Reflotron at the screening sites. For comparison, we drew venous samples from 972 participants and analyzed them in a reference laboratory, which had met the requirements of the Centers for Disease Control's Lipid Standardization Program. All four Reflotrons tested met the 1988 guidelines for precision and accuracy established by the Laboratory Standardization Panel (LSP) of the National Cholesterol Education Program (NCEP). None of the analyzers consistently met the 1992 LSP standards for precision, although two met the 1992 standards for accuracy. More than 40% of Reflotron values differed from the reference laboratory values by more than 5%. As a consequence, more than 16% of individuals were misclassified in terms of the NCEP risk category into which their Reflotron readings fell. All four instruments malfunctioned at some point during the project, precluding their further usage. We recommend improvements in the precision, accuracy, and durability of this analyzer.
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Alzheimers Dement
January 2025
Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan.
Introduction: Plasma phosphorylated tau (p-tau) biomarkers have improved Alzheimer's disease (AD) diagnosis, but data from diverse Asian populations are limited. This study evaluated plasma p-tau217 and p-tau181 levels in Korean and Taiwanese populations.
Methods: All participants (n = 270) underwent amyloid positron emission tomography (PET) and blood tests.
Front Neurorobot
January 2025
College of Artificial Intelligence, Taiyuan University of Technology, Jinzhong, Shanxi, China.
Accurate building segmentation has become critical in various fields such as urban management, urban planning, mapping, and navigation. With the increasing diversity in the number, size, and shape of buildings, convolutional neural networks have been used to segment and extract buildings from such images, resulting in increased efficiency and utilization of image features. We propose a building semantic segmentation method to improve the traditional Unet convolutional neural network by integrating attention mechanism and boundary detection.
View Article and Find Full Text PDFMethodsX
June 2025
Symbiosis Institute of Technology, Pune Campus, Symbiosis International (Deemed University), Pune, Maharashtra, India.
Integrated Circuits are made of various transistors that are embedded on a silicon wafer, these wafers are difficult to process and hence are prone to defects. Defecting these defects manually is a time consuming and labour-intensive task and hence automation is necessary. Deep Learning approach is better suited in this case as it is able to generalize defects if trained properly and can be a solution to segmentation and classification of defects automatically.
View Article and Find Full Text PDFJDS Commun
January 2025
Department of Animal Science, Universidade Federal de Lavras, Lavras, MG, Brazil, 37200-900.
The National Academies of Sciences, Engineering, and Medicine (NASEM, 2021) milk protein yield (MPY) prediction equation includes independent and additive effects of digestible energy intake and absorbed EAA. Our objective was to evaluate the NASEM MPY prediction and EAA use efficiency in Holstein cows in pens from commercial farms. Data collected from 12 Brazilian herds were used.
View Article and Find Full Text PDFAntigen processing and presentation via major histocompatibility complex (MHC) molecules are central to immune surveillance. Yet, quantifying the dynamic activity of MHC class I and II antigen presentation remains a critical challenge, particularly in diseases like cancer, infection and autoimmunity where these pathways are often disrupted. Current methods fall short in providing precise, sample-specific insights into antigen presentation, limiting our understanding of immune evasion and therapeutic responses.
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