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Intricate interplay of CRISPR-Cas systems, anti-CRISPR proteins, and antimicrobial resistance genes in a globally successful multi-drug resistant Klebsiella pneumoniae clone.
Genome Med
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Center for Discovery and Innovation, Hackensack Meridian Health, Nutley, NJ, USA.
Background: Klebsiella pneumoniae is one of the most prevalent pathogens responsible for multiple infections in healthcare settings and the community. K. pneumoniae CG147, primarily including ST147 (the founder ST), ST273, and ST392, is one of the most globally successful MDR clone linked to various carbapenemases.
View Article and Find Full Text PDFSerum cardiac and inflammatory biomarker levels following chemotherapy among female patients with breast cancer attending at Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia.
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Department of Biomedical Sciences, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, P.O. Box 79, Ethiopia.
Background: Chemotherapy is a well-established therapeutic approach for several malignancies, including breast cancer (BCa). However, the clinical efficacy of this drug is limited by cardiotoxicity. Assessing multiple cardiac biomarkers can help identify patients at risk of adverse outcomes from chemotherapy.
View Article and Find Full Text PDFAn optimized ensemble grey wolf-based pipeline for monkeypox diagnosis.
Sci Rep
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Electronics and Communication Engineering Department, Mansoura University, Mansoura, 35516, Egypt.
As the world recovered from the coronavirus, the emergence of the monkeypox virus signaled a potential new pandemic, highlighting the need for faster and more efficient diagnostic methods. This study introduces a hybrid architecture for automatic monkeypox diagnosis by leveraging a modified grey wolf optimization model for effective feature selection and weighting. Additionally, the system uses an ensemble of classifiers, incorporating confusion based voting scheme to combine salient data features.
View Article and Find Full Text PDFThe classification of chronic diseases has long been a prominent research focus in the field of public health, with widespread application of machine learning algorithms. Diabetes is one of the chronic diseases with a high prevalence worldwide and is considered a disease in its own right. Given the widespread nature of this chronic condition, numerous researchers are striving to develop robust machine learning algorithms for accurate classification.
View Article and Find Full Text PDFAn optimized lightweight real-time detection network model for IoT embedded devices.
Sci Rep
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School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, 510665, China.
With the rapid development of Internet of Things (IoT) technology, embedded devices in various computer vision scenarios can realize real-time target detection and recognition tasks, such as intelligent manufacturing, automatic driving, smart home, and so on. YOLOv8, as an advanced deep learning model in the field of target detection, has attracted much attention for its excellent detection speed, high precision, and multi-task processing capability. However, since IoT embedded devices typically own limited computing resources, direct deployment of YOLOv8 is a big challenge, especially for real-time detection tasks.
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