Carbohydrate used in biomedical applications is influenced by numerous factors. One of the most appealing characteristic of carbohydrates is their ability to reproduce from natural resources which makes them ecologically friendly. Due to their abundance, biocompatibility, and no contamination by residual initiators, the desire for polysaccharides in medical uses is growing. Research on fiber-based materials, with a variety of medical applications including bio-functional scaffolds, continues to yield novel and intriguing findings. Almost all biopolymers of diverse structural compositions are electrospun to fulfill biomedical usage criteria, and the electrospinning technique is widely employed in biomedical technologies for both in-vivo and in-vitro therapies. Due to its biocompatibility and biodegradability, polycaprolactone (PCL) is employed in medical applications like tissue engineering and drug delivery. Although PCL nanofibers have established effects in vitro, more research is needed before their potential therapeutic application in the clinic. Here we tried to focus mainly on the carbohydrate incorporated PCL-based nanofibers production techniques, structures, morphology, and physicochemical properties along with their usage in biomedicine.
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http://dx.doi.org/10.1016/j.ijbiomac.2023.126642 | DOI Listing |
BMC Med Inform Decis Mak
January 2025
Department of Critical Care Medicine, First Affiliated Hospital of Harbin Medical University, Heilongjiang, China.
Background: Acute respiratory distress syndrome (ARDS) is a serious threat to human life. Hence, early and accurate diagnosis and treatment are crucial for patient survival. This meta-analysis evaluates the accuracy of artificial intelligence in the early diagnosis of ARDS and provides guidance for future research and applications.
View Article and Find Full Text PDFBMC Med Res Methodol
January 2025
Leeds Institute of Clinical Trials Research, University of Leeds, Clarendon Way, Leeds, LS2 9NL, UK.
Background: Early detection and diagnosis of cancer are vital to improving outcomes for patients. Artificial intelligence (AI) models have shown promise in the early detection and diagnosis of cancer, but there is limited evidence on methods that fully exploit the longitudinal data stored within electronic health records (EHRs). This review aims to summarise methods currently utilised for prediction of cancer from longitudinal data and provides recommendations on how such models should be developed.
View Article and Find Full Text PDFSci Rep
January 2025
Biological Engineering Program, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok, 10140, Thailand.
Nanobodies (Nbs) hold great potential to replace conventional antibodies in various biomedical applications. However, conventional methods for their discovery can be time-consuming and expensive. We have developed a reliable protein selection strategy that combines magnetic activated cell sorting (MACS)-based screening of yeast surface display (YSD) libraries and functional ligand-binding identification by Tat-based recognition of associating proteins (FLI-TRAP) to isolate antigen-specific Nbs from synthetic libraries.
View Article and Find Full Text PDFJ Control Release
January 2025
Medicinal Materials Research Center, Biomedical Research Institute, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea; KU-KIST Graduate School of Converging Science and Technology, Korea University, Seoul 02841, Republic of Korea. Electronic address:
Receptor-mediated endocytosis plays a crucial role in the success of numerous therapies and remains central to advancing drug development. This process begins with ligand binding to specific receptors, triggering the internalization and intracellular trafficking of receptor-ligand complexes. These complexes are subsequently directed into distinct routes, either toward lysosomal degradation or recycling to the cell surface, with implications for therapeutic outcomes.
View Article and Find Full Text PDFJ Control Release
January 2025
Department of Pharmaceutical Sciences, College of Pharmacy, Robertson Life Sciences Building, Oregon State University, Portland, OR 97201, USA; Department of Ophthalmology, Casey Eye Institute, Oregon Health & Science University, Portland, OR 97239, USA; Department of Biomedical Engineering, Robertson Life Sciences Building, Oregon Health & Science University, Portland, OR 97201, USA. Electronic address:
Lipid nanoparticles (LNPs) have shown great potential in the field of gene therapy for retinal diseases. To expand on this application, we investigated LNP-mediated mRNA delivery to the anterior chamber of the eye via the intracameral (IC) route of administration. Here, we show that IC injections of LNPs facilitated protein expression and gene editing in the trabecular meshwork (TM).
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