Infection with Influenza A virus (IAV) induces severe inflammatory responses and lung injury, contributing significantly to mortality and morbidity rates. Alterations in the microbial composition of the lungs and intestinal tract resulting from infection could influence disease progression and treatment outcomes. Xiyanping (XYP) injection has demonstrated efficacy in clinical treatment across various viral infections.
View Article and Find Full Text PDFComput Methods Programs Biomed
January 2025
Background And Objective: Cloud-based Deep Learning as a Service (DLaaS) has transformed biomedicine by enabling healthcare systems to harness the power of deep learning for biomedical data analysis. However, privacy concerns emerge when sensitive user data must be transmitted to untrusted cloud servers. Existing privacy-preserving solutions are hindered by significant latency issues, stemming from the computational complexity of inner product operations in convolutional layers and the high communication costs of evaluating nonlinear activation functions.
View Article and Find Full Text PDFPerfluoroalkyl substances (PFAS) are environmentally persistent, bioaccumulative and toxic pollutants. However, thorough degradation of PFAS remains exceptionally difficult due to the high dissociation energy of the C-F bond. Here, we report a viable strategy to markedly degrade PFAS completely by capitalizing on a harmless polytetrafluoroetylene (PTFE) as a piezocatalyst.
View Article and Find Full Text PDFACS Biomater Sci Eng
January 2025
Bacterial biofilms, complex microbial communities encased in a protective extracellular matrix, pose a significant threat to public health due to their inherent antibiotic resistance. This review explores the potential of peptides, particularly antimicrobial peptides (AMPs), as innovative tools to combat biofilm-related infections. AMPs, characterized by their potent antimicrobial activity and tissue permeability, offer a promising approach to overcome the challenges posed by biofilms.
View Article and Find Full Text PDFStem cell-derived spinal cord organoids (SCOs) have revolutionised the study of spinal cord development and disease mechanisms, offering a three-dimensional model that recapitulates the complexity of native tissue. This review synthesises recent advancements in SCO technology, highlighting their role in modelling spinal cord morphogenesis and their application in neurodegenerative disease research. We discuss the methodological breakthroughs in inducing regional specification and cellular diversity within SCOs, which have enhanced their predictive ability for drug screening and their relevance in mimicking pathological conditions such as neurodegenerative diseases and neuromuscular disorders.
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