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http://dx.doi.org/10.1097/PRS.0000000000008365 | DOI Listing |
J Mater Chem B
January 2025
College of Biomedical Engineering, National Engineering Research Center for Biomaterials, Sichuan University, Chengdu, 610064, China.
This article reviews plant-derived exosome-like nanoparticles (ELNs), and highlights their potential in regenerative medicine. Various extraction techniques, including ultracentrifugation and ultrafiltration, and their impact on ELN purity and yield were discussed. Characterization methods such as microscopy and particle analysis are found to play crucial roles in defining ELN properties.
View Article and Find Full Text PDFImmun Inflamm Dis
January 2025
Second Department of Oncology, Guangdong Second Provincial General Hospital, Guangzhou, China.
Background: SET domain-containing protein 4 (SETD4) is a histone methyltransferase that has been shown to modulate cell proliferation, differentiation, and inflammatory responses by regulating histone H4 trimethylation (H4K20me3). Previous reports have demonstrated its function in the quiescence of cancer stem cells as well as drug resistance in several cancers. A limited number of systematic studies have examined SETD4's role in the tumor microenvironment, pathogenesis, prognosis, and therapeutic response.
View Article and Find Full Text PDFBackground And Objective: Lipedema is a commonly underdiagnosed chronic condition. This study aimed to evaluate liposuction techniques for lipedema by conducting a systematic review and presenting our experience. A case series study and a comprehensive review were conducted.
View Article and Find Full Text PDFAnn Transl Med
December 2024
Faculty of Medicine, Université Laval, Québec, QC, Canada.
Ann Transl Med
December 2024
Division of Advanced Gastrointestinal and Bariatric Surgery, Mayo Clinic, Jacksonville, FL, USA.
Background: Addressing language barriers through accurate interpretation is crucial for providing quality care and establishing trust. While the ability of artificial intelligence (AI) to translate medical documentation has been studied, its role for patient-provider communication is less explored. This review evaluates AI's effectiveness in clinical translation by assessing accuracy, usability, satisfaction, and feedback on its use.
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