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Magnetic resonance imaging (MRI) is one of the most commonly used tools in neuroscience. However, it implies exposure to high noise levels. Exposure to noise can lead to temporary or permanent hearing loss, especially when the exposure is long and/or repeated.
View Article and Find Full Text PDFArtificial intelligence applied in identifying left ventricular walls in myocardial perfusion scintigraphy images: Pilot study.
PLoS One
January 2025
Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania, Brazil.
This paper proposes the use of artificial intelligence techniques, specifically the nnU-Net convolutional neural network, to improve the identification of left ventricular walls in images of myocardial perfusion scintigraphy, with the objective of improving the diagnosis and treatment of coronary artery disease. The methodology included data collection in a clinical environment, followed by data preparation and analysis using the 3D Slicer Platform for manual segmentation, and subsequently, the application of artificial intelligence models for automated segmentation, focusing on the efficiency of identifying the walls of the left ventricular. A total of 83 clinical routine exams were collected, each exam containing 50 slices, which is 4,150 images.
View Article and Find Full Text PDFExploring the potential of MRM-IDA-EPI method in mass spectrometry for exposomic analysis: a commentary.
Arch Toxicol
January 2025
Lautenberg Environmental Health Sciences Laboratory, Department of Environmental Medicine and Climate Science, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Exposomics is a field that studies environmental exposures and their impact on human health. The MRM-IDA-EPI method, which combines targeted and untargeted mass spectrometry methods, is useful for identifying and quantifying biomarkers in various biological matrices. The method's accuracy and precision in forensic toxicological screening suggest potential applications for detecting low-level environmental exposures.
View Article and Find Full Text PDFThe role of the hippocampus in working memory and word reading: Novel neural correlates of reading among youth living in the context of economic disadvantage.
Dev Cogn Neurosci
December 2024
Child Mind Institute, New York, NY, USA; Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH, USA. Electronic address:
A left-lateralized cortical reading circuit underlies successful reading and fails to engage in individuals with reading problems. Studies identifying this circuit included youth from economically advantaged backgrounds and focused on cortical, not subcortical, structures. However, among youth with low scores on reading tests who are living in the context of economic disadvantage, this brain network is actively engaged during reading, despite persistent reading problems.
View Article and Find Full Text PDFTailoring Polyelectrolyte Multilayer Nanofiltration Membranes by Aerosol-Assisted Printing: Insights into Membrane Formation Mechanisms.
Environ Sci Technol
January 2025
Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong 999077, China.
Polyelectrolyte multilayer (PEM) membranes, with advantageous features of versatile chemistry and structures, are driving the development of advanced nanofiltration (NF) membranes with exceptional performance. While developing a printing method holds great promise for the eventual mass production of these membranes, reports on the printing method and the underlying mechanisms of membrane formation are currently scarce. Herein, we develop an aerosol-assisted printing (AAP) system for fabricating PEM NF membranes with highly tunable separation characteristics.
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