Objective: Electronic bronchoscopy is routinely used for the diagnosis and treatment of lung and bronchial disorders. However, the devices used are normally large and costly. Here, we evaluated the clinical effectiveness of a portable electronic bronchoscope produced by Zhejiang UE Medical Corp., the UE-EB.
Methods: We conducted a multi-institutional, randomized, single-blind, non-inferiority and parallel-group controlled clinical trial. Participants were randomly assigned 1:1 to the experimental group or control group. The primary indicator was the effectiveness of the device. Safety indicators were assessed from enrollment to 3 days after the operation.
Results: The UE-EB had good consistency between groups during the procedure, and the effective rate was 100.00% in both groups. The difference value (95% confidence interval) between the two groups was 0.00% (-5.45%, 5.45%), and the lower limit was greater than -10% (negative non-inferiority margin). There was also no difference between the two groups in terms safety indicators.
Conclusions: The portable electronic bronchoscope described in this study showed reliable effectiveness and safety. This device is worth promoting and applying in clinical practice. ZXLB20200295 (Zhejiang Medical Products Administration, China).
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http://dx.doi.org/10.1177/03000605221108102 | DOI Listing |
Anal Chim Acta
March 2025
College of New Energy Materials and Chemistry, Leshan Normal University, Leshan, Sichuan, 614000, PR China; Sichuan Province Key Laboratory of Natural Products and Small Molecule Synthesis, Leshan, Sichuan, 614000, PR China. Electronic address:
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View Article and Find Full Text PDFAnal Chim Acta
March 2025
Artificial Intelligence Research Center, Chang Gung University, Taoyuan, 333323, Taiwan; Department of Artificial Intelligence, College of Intelligent Computing, Chang Gung University, Taoyuan, 333323, Taiwan. Electronic address:
Background: In recent years, employing deep learning methods in the biosensing area has significantly reduced data analysis time and enhanced data interpretation and prediction accuracy. In some SPR fields, research teams have further enhanced detection capabilities using deep learning techniques. However, the application of deep learning to spectroscopic surface plasmon resonance (SPR) biosensors has not been reported.
View Article and Find Full Text PDFTalanta
January 2025
College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, Guangdong 518060, PR China. Electronic address:
Electrochemiluminescence (ECL)-based point-of-care testing (POCT) has the potential to facilitate the rapid identification of diseases, offering advantages such as high sensitivity, strong selectivity, and minimal background interference. However, as the throughput of these devices increases, the issues of increased energy consumption and cross-contamination of samples remain. In this study, a high-throughput ECL biosensor platform with the assistance of machine learning algorithms is developed by combining a microcolumn array electrode, a microelectrochemical workstation, and a smartphone with custom software.
View Article and Find Full Text PDFAnal Chim Acta
March 2025
Department of Chemistry, State University of New York at Binghamton, Binghamton, NY, 13902, USA; Materials Engineering and Science Program, State University of New York at Binghamton, Binghamton, NY, 13902, USA. Electronic address:
Int J Biol Macromol
January 2025
School of Resources, Environment and Materials, Guangxi University, Nanning 530004, China; State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, and MOE Key Laboratory of New Processing Technology for Nonferrous Metals and Materials, Guangxi University, Nanning 530004, China; School of Chemistry and Chemical Engineering, Guangxi University, Nanning 530004, China. Electronic address:
Regenerated cellulose is extensively utilized as a natural polymer due to its actually natural piezoelectric properties as well as renewable properties, but suffers from processing difficulties and low piezoelectric constants (d). Consequently, this work focuses on controlling the molecular weight of regenerated cellulose through pretreatment methods that promote the growth of in situ ZnO to enhance its d. Firstly, the acid-catalyzed pulp fibers (PF) and zinc nitrate hexahydrate were added in NaOH/urea solvent to effectively prepare RC/ZnO composite film via regeneration and in-situ growth.
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