Medicina (Kaunas)
October 2024
The objective of this study was to develop and characterize a novel hyaluronic acid (HA) 3D scaffold integrated with gelatin microparticles for sustained-delivery applications. To achieve this goal, the delivery microparticles were synthesized and thoroughly characterized, focusing on their crosslinking mechanisms (vanillin and genipin), degradation profiles, and release kinetics. Additionally, the cytotoxicity of the system was assessed, and its impact on the cell adhesion and distribution using mouse fibroblasts was examined.
View Article and Find Full Text PDFPurpose: This review provides an overview of the current state of artificial intelligence (AI) technology for automated detection of breast cancer in digital mammography (DM) and digital breast tomosynthesis (DBT). It aims to discuss the technology, available AI systems, and the challenges faced by AI in breast cancer screening.
Methods: The review examines the development of AI technology in breast cancer detection, focusing on deep learning (DL) techniques and their differences from traditional computer-aided detection (CAD) systems.
PacBio HiFi sequencing was employed in combination with metagenomic binning to produce a high-quality reference genome of . We compared k-mer and alignment reference based pre-binning and post-binning approaches to remove contamination. We were also interested to know if the post-binning approach had interspersed bacterial contamination within intragenic regions of Arthropoda binned contigs.
View Article and Find Full Text PDFIntroduction: Acute monoarthritis (AM) represents a relevant cause of morbidity that requires prompt medical care. The study of synovial fluid becomes relevant to allow a rapid diagnostic approach. The main objective of the study was to determine the frequency and clinical-analytical characteristics of episodes of AM and acute bursitis evaluated in a hospital during a period of 6 years.
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