Bone tissue engineering aims to develop biomaterials that are capable of effectively repairing and regenerating damaged bone tissue. Among the various polymers used in this field, polycaprolactone (PCL) is one of the most widely utilized. As a biocompatible polymer, PCL is easy to fabricate, cost-effective, and offers consistent quality control, making it a popular choice for biomedical applications.
View Article and Find Full Text PDFLiver metastases from Gastrointestinal (GI) cancers present significant challenges in oncology, often signaling poor prognosis. Traditional detection methods like imaging and tissue biopsies have limitations in sensitivity, specificity, and tumor heterogeneity represen-tation. The advent of artificial intelligence (AI) in healthcare, driven by advancements in ma-chine learning, algorithms, and data science, offers a promising frontier for early detection and management of liver metastases.
View Article and Find Full Text PDFSpatially resolved transcriptomics enable comprehensive measurement of gene expression at subcellular resolution while preserving the spatial context of the tissue microenvironment. While deep learning has shown promise in analyzing SCST datasets, most efforts have focused on sequence data and spatial localization, with limited emphasis on leveraging rich histopathological insights from staining images. We introduce GIST, a deep learning-enabled gene expression and histology integration for spatial cellular profiling.
View Article and Find Full Text PDFBackground And Aim: Recent studies have shown that electronic cigarettes (ECs) use disrupts the oral microbiome composition and diversity, impairing the metabolic pathways of the mucosal cells. However, to date, no reports have evaluated the role of EC exposure in the context of oral metabolome. Hence, the aim of this study was to investigate the role of EC aerosol exposure in the dysregulation of the oral microbiome and metabolome profile using in vitro 3D organotypic models of human oral mucosa.
View Article and Find Full Text PDFMarine fisheries resources are under increasing threat, necessitating the development of new effective monitoring and management strategies. Environmental DNA (eDNA) and RNA (eRNA) metabarcoding has emerged as a non-invasive and sensitive alternative method for monitoring fish biodiversity and fisheries resources and assessing the fisheries impact of anthropogenic activities. Here, we summarize crucial technical details about eDNA metabarcoding for marine fish monitoring and provide meta-analytical trends in primer selection and sample size, assessment standards, fish and fisheries databases, reference fish genomic databases, and other relevant metrics.
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