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Mouse Model of Lipopolysaccharide (LPS)-Induced Pulpitis.
Bio Protoc
January 2025
Department of Stomatology, Peking Union Medical College Hospital, Beijing, China.
Pulpitis is an important and prevalent disease within the oral cavity. Thus, animal models are necessary tools for basic research focused on pulpitis. Researchers worldwide often use dogs and miniature pigs to construct animal models of pulpitis.
View Article and Find Full Text PDFIntroducing CELLBLOKS: a novel organ-on-a-chip platform allowing a plug-and-play approach towards building organotypic models.
In Vitro Model
December 2022
REVIVOCELL Limited, Sci-Tech Daresbury, Keckwick Lane, Daresbury, Warrington, WA4 4AD UK.
Unlabelled: Human organs are structurally and functionally complex systems. Their function is driven by the interactions between many specialised cell types, which is difficult to unravel on a standard Petri dish format. Conventional "Petri dish" approaches to culturing cells are static and self-limiting.
View Article and Find Full Text PDFMoCloro: an extension of the Chlamydomonas reinhardtii modular cloning toolkit for microalgal chloroplast engineering.
Physiol Plant
January 2025
Laboratory of Biochemistry, Institut Químic de Sarrià, Universitat Ramon Llull, Barcelona, Spain.
Photosynthetic microalgae are promising green cell factories for the sustainable production of high-value chemicals and biopharmaceuticals. The chloroplast organelle is being developed as a chassis for synthetic biology as it contains its own genome (the plastome) and some interesting advantages, such as high recombinant protein titers and a diverse and dynamic metabolism. However, chloroplast engineering is currently hampered by the lack of standardized cloning tools and Design-Build-Test-Learn workflows to ease genomic and metabolic engineering.
View Article and Find Full Text PDFInterDIA: Interpretable Prediction of Drug-induced Autoimmunity through Ensemble Machine Learning Approaches.
Toxicology
January 2025
Deparment of clinical pharmacy, Jieyang People's Hospital, 522000, China. Electronic address:
Drug-induced autoimmunity (DIA) is a non-IgE immune-related adverse drug reaction that poses substantial challenges in predictive toxicology due to its idiosyncratic nature, complex pathogenesis, and diverse clinical manifestations. To address these challenges, we developed InterDIA, an interpretable machine learning framework for predicting DIA toxicity based on molecular physicochemical properties. Multi-strategy feature selection and advanced ensemble resampling approaches were integrated to enhance prediction accuracy and overcome data imbalance.
View Article and Find Full Text PDFA frustratingly easy way of extracting political networks from text.
PLoS One
January 2025
School of Government, Adolfo Ibanez University, Santiago, Chile.
This study demonstrates the use of GPT-4 and variants, advanced language models readily accessible to many social scientists, in extracting political networks from text. This approach showcases the novel integration of GPT-4's capabilities in entity recognition, relation extraction, entity linking, and sentiment analysis into a single cohesive process. Based on a corpus of 1009 Chilean political news articles, the study validates the graph extraction method using 'legislative agreement', i.
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