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With an exponential rise in antimicrobial resistance and stagnant antibiotic development pipeline, there is, more than ever, a crucial need to optimize current infection therapy approaches. One of the most important stages in this process requires rapid and effective identification of pathogenic bacteria responsible for diseases. Current gold standard techniques of bacterial detection include culture methods, polymerase chain reactions, and immunoassays. However, their use is fraught with downsides with high turnaround time and low accuracy being the most prominent. This imposes great limitations on their eventual application as point-of-care devices. Over time, innovative detection techniques have been proposed and developed to curb these drawbacks. In this review, a systematic summary of a range of biosensing platforms is provided with a strong focus on technologies conferring high detection sensitivity and specificity. A thorough analysis is performed and the benefits and drawbacks of each type of biosensor are highlighted, the factors influencing their potential as point-of-care devices are discussed, and the authors' insights for their translation from proof-of-concept systems into commercial medical devices are provided.
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http://dx.doi.org/10.1002/adhm.202101546 | DOI Listing |
ACS Sens
September 2025
METU MEMS Center, Ankara 06530, Türkiye.
Cardiovascular diseases (CVDs) remain a leading cause of death, particularly in developing countries, where their incidence continues to rise. Traditional CVD diagnostic methods are often time-consuming and inconvenient, necessitating more efficient alternatives. Rapid and accurate measurement of cardiac biomarkers released into body fluids is critical for early detection, timely intervention, and improved patient outcomes.
View Article and Find Full Text PDFSupport Care Cancer
September 2025
Department of Oral Pathology, School of Dentistry, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.
Purpose: To compare the efficacy of intraoral (IOPBM) and extraoral photobiomodulation (EOPBM) protocols for the prevention and treatment of oral mucositis (OM) in patients with oral or oropharyngeal squamous cell carcinoma (SCC) to submitted radiotherapy (RT).
Methods: This randomized, blinded, multicenter clinical trial enrolled 58 patients with oral or oropharyngeal SCC, who were allocated into two groups matched by treatment type, clinical stage, and RT modality. Group I (IOPBM) received intraoral photobiomodulation (PBM) with a continuous InGaAlP diode laser (660 nm, 100 mW, 0.
Clin Res Cardiol
September 2025
Department of Cardiology, University Heart Center, University Hospital Zurich, Center for Translational and Experimental Cardiology (CTEC), University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland.
Background: Diabetic patients with ST-segment elevation myocardial infarction (STEMI) are at an increased risk of cardiovascular events as compared to non-diabetic patients. This analysis investigated outcomes of diabetic patients presenting with multivessel disease (MVD) and STEMI in a contemporary trial and the relevance of an immediate versus staged multivessel PCI strategy in this high-risk population.
Methods: Patients enrolled in the MULTISTARS AMI trial were stratified according to the presence/absence of diabetes.
Infect Control Hosp Epidemiol
September 2025
Department of Medicine, University Health Network, Toronto, Ontario, Canada.
Objective: To describe trends in the prevalence of healthcare-associated infections (HAIs) and antibiotic-resistant organisms (AROs) in Canadian acute-care hospitals.
Design: Repeated point prevalence surveys.
Setting: Canadian Nosocomial Infection Surveillance Program (CNISP) hospitals.
IEEE Nanotechnol Mater Devices Conf
October 2024
D. Keith Roper is with Utah State University, Logan, UT 84322 USA.
Nanoparticle labels enable colorimetric point-of-care devices for rapid, low-cost diagnosis and health monitoring. Accurate interpretation of colorimetric assays relies on reliable perception of differences in quantitative color attributes such as hue, chromaticity, and saturation. This study examined interactions between physical factors such as nanoparticle shape, illumination, and sample environment, and biological factors affecting color vision deficit and optical signal processing that influenced perceived color difference.
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