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Scope: Interpretation of rapid and advanced microbiological test results remains nonstandardized, with no existing reference guidelines. This study aimed to analyze the existing evidence and provide expert guidance on the use of these techniques in critically ill patients.
Methods: A Delphi consensus process was conducted by a multidisciplinary panel of experts, including microbiologists, infectious disease specialists, intensivists, surgeons, and pulmonologists. Sixteen prioritized key questions were addressed via literature reviews and two Delphi rounds. Consensus was reached when 70% of the responses showed strong agreement. Questions addressed by consensus and Recommendations: Consensus was reached for all 16 statements. The key findings include the importance of interpreting rapid microbiological test results within a specific clinical context; the need for concurrent standard culture examinations alongside rapid tests to ensure the detection of all pathogens; the clinical usefulness of turnaround times <24 h for rapid techniques; the benefits of rapid diagnostics, particularly in severe sepsis and other severe infections. Specific recommendations were made regarding the use of rapid tests in various clinical settings (critically ill patients with suspected infection, pneumonia, and ventilator-associated pneumonia). The panel found insufficient evidence to support the routine use of digital polymerase chain reaction in various infection scenarios and concluded that clinical bioinformatics expertise is essential in microbiology laboratories that use advanced technologies. The panel also highlighted the need for basic clinician training to interpret data generated using advanced microbiological techniques. This consensus provides guidance for the appropriate use of rapid and advanced microbiological techniques for critically ill patients. However, the standardization of testing settings, interpretations, and cost-effectiveness analyses of different approaches require further investigation. Robust preanalytical workflows and multidisciplinary clinical bioinformatics expertise are crucial for the effective implementation and interpretation of advanced techniques.
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http://dx.doi.org/10.1016/j.cmi.2025.08.022 | DOI Listing |
Inorg Chem
September 2025
State Key Laboratory of Inorganic Synthesis and Preparative Chemistry, College of Chemistry, Jilin University, Changchun 130012, China.
Photocatalysis has emerged as a promising strategy to address water pollution caused by heavy metals and antibiotics. Zeolites exhibit significant potential in petrochemical catalysis; however, the development of zeolite-based photocatalysts remains a critical challenge for researchers. Herein, a novel Z-scheme heterojunction was designed and fabricated on the titanium-silicon zeolite TS-1 by modifying g-CN via a simple calcination process.
View Article and Find Full Text PDFNanomicro Lett
September 2025
Department of Mechanical, Aerospace & Biomedical Engineering, University of Tennessee, Knoxville, Knoxville, TN, 37996, USA.
3D printing, as a versatile additive manufacturing technique, offers high design flexibility, rapid prototyping, minimal material waste, and the capability to fabricate complex, customized geometries. These attributes make it particularly well-suited for low-temperature hydrogen electrochemical conversion devices-specifically, proton exchange membrane fuel cells, proton exchange membrane electrolyzer cells, anion exchange membrane electrolyzer cells, and alkaline electrolyzers-which demand finely structured components such as catalyst layers, gas diffusion layers, electrodes, porous transport layers, and bipolar plates. This review provides a focused and critical summary of the current progress in applying 3D printing technologies to these key components.
View Article and Find Full Text PDFIntroduction: Effective triage in the emergency department (ED) is essential for optimizing resource allocation, improving efficiency, and enhancing patient outcomes. Conventional systems rely heavily on clinical judgment and standardized guidelines, which may be insufficient under growing patient volumes and increasingly complex presentations.
Methods: We developed a machine learning triage model, MIGWO-XGBOOST, which incorporates a Multi-strategy Improved Gray Wolf Optimization (MIGWO) algorithm for parameter tuning.
Radiology
September 2025
Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck St, Boston, MA 02115.
Despite the rapid growth of Food and Drug Administration-cleared artificial intelligence (AI)- and machine learning-enabled medical devices for use in radiology, current tools remain limited in scope, often focusing on narrow tasks and lacking the ability to comprehensively assist radiologists. These narrow AI solutions face limitations in financial sustainability, operational efficiency, and clinical utility, hindering widespread adoption and constraining their long-term value in radiology practice. Recent advances in generative and multimodal AI have expanded the scope of image interpretation, prompting discussions on the development of generalist medical AI.
View Article and Find Full Text PDFJ Phys Chem B
September 2025
Key Laboratory of Advanced Light Conversion Materials and Biophotonics, School of Chemistry and Life Resources, Renmin University of China, Beijing 100872, China.
Light-harvesting complex IIs (LHCIIs) are the major antenna in higher plants, balancing light capture through photoprotection. While it naturally forms trimers, stress conditions can induce monomerization, altering pigment interactions. Here, we explored how molecular oxygen affects triplet excited-state dynamics in LHCII monomers using time-resolved transient absorption spectroscopy under aerobic and anaerobic conditions.
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