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Correction: Surgical stabilization of rib fractures (SSRF): the WSES and CWIS position paper.
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Institute of Physical Chemistry and Polymer Physics, Leibniz-Institut für Polymerforschung Dresden e.V. (IPF), 01069, Dresden, Germany.
Template-assisted colloidal self-assembly has gained significant attention due to its flexibility and versatility. By precisely controlling the shape of the template, it is possible to achieve custom-designed nanoparticle assemblies. However, a major challenge remains in fabricating these templates over large areas at a low cost.
View Article and Find Full Text PDFBackground: Multidisciplinary tumor boards (MTBs) have been established in most countries to allow experts collaboratively determine the best treatment decisions for cancer patients. However, MTBs often face challenges such as case overload, which can compromise MTB decision quality. Clinical decision support systems (CDSSs) have been introduced to assist clinicians in this process.
View Article and Find Full Text PDFEndocrine-Disrupting Chemicals and Female Reproductive Aging.
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Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan.
Female reproductive aging often affects women's emotional, physical, and physiological well-being. Ovarian aging is characterized by fluctuations in reproductive hormones and determines the age at which menopause occurs. Understanding potentially modifiable factors that influence this process is essential for addressing health disparities, improving quality of life, and informing relevant public health strategies.
View Article and Find Full Text PDFA machine-learning-integrated portable electrochemiluminescence sensing platform for the visualization and high-throughput immunoassays.
Talanta
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.
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