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SBMLNetwork is an open-source software library that makes the SBML Layout and Render packages practical for standards-based visualization of biochemical models. Current tools often manage model visualization data in custom-designed, tool-specific formats and store it separately from the model itself, hindering interoperability, reproducibility, and the seamless integration of visualization with model data. SBMLNetwork addresses these limitations by building directly on the SBML Layout and Render specifications, automating the generation of standards-compliant visualization data, offering a modular implementation with broad integration support, and providing a robust API tailored to the needs of systems biology researchers. We illustrate the capabilities of SBMLNetwork across key visualization tasks, including SBGN-compliant visualization, application of predefined style templates, layout arrangement to reflect pathway logic, and integration of model data into network diagrams. These examples demonstrate how SBMLNetwork enables high-level visualization features and seamlessly translate user intent into reproducible outputs that support both structural representation and dynamic data visualization within the SBML model. SBMLNetwork is freely available at https://github.com/sys-bio/SBMLNetwork under the MIT license.
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http://dx.doi.org/10.1101/2025.05.09.653024 | DOI Listing |
JMIR Cancer
September 2025
iCARE Secure Data Environment & Digital Collaboration Space, NIHR Imperial Biomedical Research Centre, London, United Kingdom.
Background: Electronic health records (EHRs) are a cornerstone of modern health care delivery, but their current configuration often fragments information across systems, impeding timely and effective clinical decision-making. In gynecological oncology, where care involves complex, multidisciplinary coordination, these limitations can significantly impact the quality and efficiency of patient management. Few studies have examined how EHR systems support clinical decision-making from the perspective of end users.
View Article and Find Full Text PDFNeuro Endocrinol Lett
September 2025
Department of Neurosurgery, PLA 960th Hospital, Jinan, Shandong, 250031, China.
Objective: To analyze the hotspots and frontiers in the field of subarachnoid hemorrhage using the bibliometrics method and providing references for academic research.
Methods: All published studies related to subarachnoid hemorrhage published in the Web of Science core database from 1 January 2016 to 25 September 2021 were retrospectively identified using VOSviewer and CiteSpace software. Visualization VOSviewer and CiteSpace software were used to perform statistical and cluster analyses on authors, countries, institutions, keywords, and co-cited documents.
Cardiol Rev
September 2025
Departments of Cardiology and Medicine, Westchester Medical Center and New York Medical College, Valhalla, NY.
Heart failure (HF) remains one of the leading causes of 30-day hospital readmissions, presenting a major challenge to healthcare systems worldwide. This comprehensive review synthesizes recent evidence on effective strategies to reduce readmission rates through patient education, self-care interventions, and systemic reforms. Structured education-particularly when reinforced postdischarge through methods like teach-back, tele-coaching, and home visits-has consistently demonstrated improved self-management, symptom recognition, and quality of life.
View Article and Find Full Text PDFJ Craniofac Surg
September 2025
Department of Oral and Maxillofacial Surgery, University of Ulsan Hospital, University of Ulsan College of Medicine.
This study aimed to develop a deep-learning model for the automatic classification of mandibular fractures using panoramic radiographs. A pretrained convolutional neural network (CNN) was used to classify fractures based on a novel, clinically relevant classification system. The dataset comprised 800 panoramic radiographs obtained from patients with facial trauma.
View Article and Find Full Text PDFJ Am Coll Health
September 2025
Hubbard School of Journalism and Mass Communication, University of Minnesota, Minneapolis, Minnesota, USA.
: An evolving THC product marketplace is diffusing through college campuses. It is essential to understand college students' THC knowledge, attitudes, practices and product packaging perceptions to identify campus health education and messaging strategies. : Participants were 30 undergraduate college students at a large-midwestern, public university.
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