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Detection of multidrug-resistant methicillin-resistant Staphylococcus aureus from healthy black Bengal goat in Bangladesh.
J Infect Dev Ctries
December 2024
Department of Microbiology & Hygiene, Bangladesh Agricultural University, Mymensingh-2202, Bangladesh.
Introduction: The emergence of livestock-associated methicillin-resistant Staphylococcus aureus (LA-MRSA) is a growing public health concern. The objective of this study was to determine the prevalence and multi-drug resistant (MDR) profiles of MRSA in goats in Bangladesh.
Methodology: A total of 150 samples from goats comprised of rectal swab (n = 50), nasal swab (n = 50), and milk (n = 50) were collected.
Multispectral imaging-based detection of apple bruises using segmentation network and classification model.
J Food Sci
January 2025
College of Electronics and Engineering, Heilongjiang University, Harbin, China.
Bruises can affect the appearance and nutritional value of apples and cause economic losses. Therefore, the accurate detection of bruise levels and bruise time of apples is crucial. In this paper, we proposed a method that combines a self-designed multispectral imaging system with deep learning to accurately detect the level and time of bruising on apples.
View Article and Find Full Text PDFA Dynamic Adaptive Ensemble Learning Framework for Noninvasive Mild Cognitive Impairment Detection: Development and Validation Study.
JMIR Med Inform
January 2025
School of Software, Taiyuan University of Technology, Jingzhong, China.
Background: The prompt and accurate identification of mild cognitive impairment (MCI) is crucial for preventing its progression into more severe neurodegenerative diseases. However, current diagnostic solutions, such as biomarkers and cognitive screening tests, prove costly, time-consuming, and invasive, hindering patient compliance and the accessibility of these tests. Therefore, exploring a more cost-effective, efficient, and noninvasive method to aid clinicians in detecting MCI is necessary.
View Article and Find Full Text PDFSleep apnoea from a dentist's point of view.
Cent Eur J Public Health
December 2024
Department of Public Health and Hygiene, Faculty of Medicine, Pavol Jozef Safarik University in Kosice, Kosice, Slovak Republic.
Objectives: The aim of this study was to confirm the relevance of knowledge a dentist has regarding obstructive sleep apnoea (OSA), considering the fact that based on specific risk factors a dentist may be the first clinician to identify patients who are at risk of being affected by this serious condition.
Methods: The cohort consisted of 53 subjects who underwent a routine dental examination. Anthropometric data and data on tongue size (Mallampati classification), tonsil size (Friedman classification), daytime sleepiness (Epworth Sleepiness Scale) and systemic risk factors were recorded in a record sheet.
Optimized breath analysis: customized analytical methods and enhanced workflow for broader detection of VOCs.
Metabolomics
January 2025
Owlstone Medical Ltd., Cambridge, UK.
Introduction: Breath Volatile organic compounds (VOCs) are promising biomarkers for clinical purposes due to their unique properties. Translation of VOC biomarkers into the clinic depends on identification and validation: a challenge requiring collaboration, well-established protocols, and cross-comparison of data. Previously, we developed a breath collection and analysis method, resulting in 148 breath-borne VOCs identified.
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