An automated sample preparation module, based upon sequential injection analysis (SIA), has been developed for use within an autonomous pathogen detection system. The SIA system interfaced aerosol sampling with multiplexed microsphere immunoassay-flow cytometric detection. Metering and sequestering of microspheres using SIA was found to be reproducible and reliable, over 24-h periods of autonomous operation. Four inbuilt immunoassay controls showed excellent immunoassay and system stability over five days of unattended continuous operation. Titration curves for two biological warfare agents, Bacillus anthracis and Yersinia pestis, obtained using the automated SIA procedure were shown to be similar to those generated using a manual microtiter plate procedure.
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Neurophysiol Clin
January 2025
Developmental Neurosciences, UCL Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK; Department of Neurosurgery, Great Ormond Street Hospital for Children, London, WC1N 3JH, UK.
Objectives: Computer-assisted planning (CAP) allows faster SEEG planning and improves grey matter sampling, orthogonal drilling angles to the skull, reduces risk scores and minimises intracerebral electrode length. Incorporating prior SEEG trajectories enhances CAP planning, refining output with centre-specific practices. This study significantly expands on the previous work, compares priors libraries between two centres, and describes differences between SEEG in adults and children in these centres.
View Article and Find Full Text PDFJ Vector Borne Dis
October 2024
Department of Biological Sciences, King AbdulAziz University, Jeddah, Makkah, Saudi Arabia.
Background Objectives: In malaria infection, quantifying blood parasitemia is a critical step for evaluating the severity of the disease. This has generally been conducted manually, and thus, its accuracy depends on the expertise of technicians. There is an urgent need for an automated technique to overcome manual errors.
View Article and Find Full Text PDFKlin Mikrobiol Infekc Lek
March 2024
Department of Microbiology, Olomouc University Hospital, Czech Republic, e-mail:
Objectives: Staphylococcus aureus is part of the human microbiota, but at the same time, it is capable of causing a wide range of diseases. Due to the ever-increasing resistance to antimicrobial agents and the existence of methicillin-resistant S. aureus (MRSA) strains, there is a real possibility of carrying even this resistant bacterium, which can subsequently cause a severe infection.
View Article and Find Full Text PDFBMC Med Educ
January 2025
School of Acupuncture and Tuina, Chengdu University of TCM, Chengdu, China.
Background: Artificial intelligence has gradually been used into various fields of medical education at present. Under the background of moxibustion robot teaching assistance, the study aims to explore the relationship and the internal mechanism between learning engagement and evaluation in three stages, preparation before class, participation in class, and consolidation after class.
Methods: Based on the data investigated in 250 youths in university via multistage cluster sampling following the self-administered questionnaire, structural equation model was built to discussing factors of study process about moxibustion robots.
AJNR Am J Neuroradiol
January 2025
From the Department of Radiology, Medical University of South Carolina, Charleston, SC, USA (MVS, HRC, WD, JHC, JAC, MGM, STS, DRR), College of Medicine, Medical University of South Carolina, Charleston, SC, USA (HW, EY).
Background And Purpose: Magnetic Resonance Imaging is widely used to assess disease burden in multiple sclerosis (MS). This study aimed to evaluate the effectiveness of a commercially available k-nearest neighbors (k-NN) software in quantifying white matter lesion (WML) burden in MS. We compared the software's WML quantification to expert radiologists' assessments.
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