The main aim of this study was to find out if the image format (TIFF or JPEG) influenced the time delay for transferring radiological images by the application sharing tool of a desktop videoconferencing system. The second task of the study was to define a procedure that optimized the time delay to load and remotely visualize the images. The results were achieved by applying a test procedure called 'benchmark protocol'. The videoconferencing system used for the test was Intel ProShare 200 v2.0. The image transfer was performed by a BRI ISDN connection. We showed that the image format had no significant influence on the time delay. We presented an optimal procedure for image transfer. Furthermore, store and forward procedures with simple file transfer were shown to be inferior to the use of application sharing. For radiological image transfer we recommend to use lossless file formats and application sharing with the image already loaded in because this method achieves the lowest time delays.
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http://dx.doi.org/10.1016/s0169-2607(98)00066-2 | DOI Listing |
Drugs Real World Outcomes
January 2025
Department of Cardiology, Angiology and Intensive Care Medicine, German Heart Center of the Charité, Berlin, Germany.
Background: Alirocumab is a fully human monoclonal antibody to proprotein convertase subtilisin kexin type 9 used for the reduction of low-density lipoprotein cholesterol (LDL-C) in high-risk patients not reaching their LDL-C target. Recently, a 2-mL prefilled autoinjector has been developed to support the monthly 300-mg dosing regimen with a single-injection administration.
Methods And Objectives: Monthly application of 300 mg AlirRocumab (Praluent) using the 2-mL SYDNEY Device (MARS) is a non-interventional, open, prospective, multi-center cohort study conducted in Germany between 2021 and 2023 with an observational period of 12 weeks.
Pharm Res
January 2025
Division of Quantitative Methods and Modeling, Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, , MD, 20993, USA.
The U.S. Food and Drug Administration (FDA) and the Center for Research on Complex Generics (CRCG) hosted a public workshop on May 2-3, 2024, titled "Considerations and Potential Regulatory Applications for a Model Master File (Lachaine et al Can J Psychiatry.
View Article and Find Full Text PDFSci Rep
January 2025
Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai, China.
Prediction of isocitrate dehydrogenase (IDH) mutation status and epilepsy occurrence are important to glioma patients. Although machine learning models have been constructed for both issues, the correlation between them has not been explored. Our study aimed to exploit this correlation to improve the performance of both of the IDH mutation status identification and epilepsy diagnosis models in patients with glioma II-IV.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
School of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition, Deakin University, Burwood, Australia.
Background: Heart failure (HF) is a chronic, progressive condition where the heart cannot pump enough blood to meet the body's needs. In addition to the daily challenges that HF poses, acute exacerbations can lead to costly hospitalizations and increased mortality. High health care costs and the burden of HF have led to the emerging application of new technologies to support people living with HF to stay well while living in the community.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Physical Medicine and Rehabilitation, Korea University Anam Hospital, Seoul, Republic of Korea.
Background: Rehabilomics, or the integration of rehabilitation with genomics, proteomics, metabolomics, and other "-omics" fields, aims to promote personalized approaches to rehabilitation care. Cloud-based rehabilitation offers streamlined patient data management and sharing and could potentially play a significant role in advancing rehabilomics research. This study explored the current status and potential benefits of implementing rehabilomics strategies through cloud-based rehabilitation.
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