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Technology and Dementia Preconference.
Alzheimers Dement
December 2024
University of Oxford, Oxford, UK.
Background: Plasma biomarkers have emerged as a promising tool to detect the presence of Alzheimer's disease (AD) when cognitive symptoms have not yet emerged. However, there is also a pressing need to detect and track subtle cognitive change at the preclinical stage of AD for population screening purposes and to monitor disease progression at scale. A potential solution is remote cognitive assessment, yet it is still not extensively employed.
View Article and Find Full Text PDFDeep Learning-Enabled Automated Quality Control for Liver MR Elastography: Initial Results.
J Magn Reson Imaging
February 2025
BioMedical Engineering and Imaging Institute, Icahn School of Medicine Mount Sinai, New York, New York, USA.
Background: Several factors can impair image quality and reliability of liver magnetic resonance elastography (MRE), such as inadequate driver positioning, insufficient wave propagation and patient-related factors.
Purpose: To report initial results on automatic classification of liver MRE image quality using various deep learning (DL) architectures.
Study Type: Retrospective, single center, IRB-approved human study.
Rapid isothermal molecular tests to discriminate between Leishmania braziliensis and Leishmania infantum infections in dogs.
Parasit Vectors
January 2025
Aggeu Magalhães Institute, Oswaldo Cruz Foundation (Fiocruz), Recife, Brazil.
Background: We standardized two recombinase polymerase amplification (RPA) assays coupled with lateral flow (LF) strips for the detection of Leishmania braziliensis and Leishmania infantum kinetoplast DNA (kDNA).
Methods: The RPA-LF assays were tested at different temperatures and reaction times, using DNA from cultured L. braziliensis and L.
Mediating role of exercise in the relationship between body dissatisfaction and overeating using structural equation modeling.
BMC Public Health
January 2025
School of Public Health and Health Management, Gannan Medical University, University Park, Rongjiang new area, Ganzhou City, 341000, Jiangxi Province, China.
Background: With the rapid development of society, teenagers have more access to individuals with perfect bodies and are becoming more concerned about their body image. Currently, few studies assess body image and eating disorders comprehensively in China. Given the seriousness of these issues, there is an urgent need to understand the current state of body image and eating behaviors among Chinese people and formulate preventive strategies.
View Article and Find Full Text PDFIntegrated Modeling and Target Classification Based on mmWave SAR and CNN Approach.
Sensors (Basel)
December 2024
Wireless Sensing and Imaging Laboratory & 6G Research Laboratory, SRM University AP, Amaravati 522502, India.
This study presents a numerical modeling approach that utilizes millimeter-wave (mm-Wave) Frequency-Modulated Continuous-Wave (FMCW) radar to reconstruct and classify five weapon types: grenades, knives, guns, iron rods, and wrenches. A dataset of 1000 images of these weapons was collected from various online sources and subsequently used to generate 3605 samples in the MATLAB (R2022b) environment for creating reflectivity-added images. Background reflectivity was considered to range from 0 to 0.
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