This white paper explores the technical challenges and solutions for acquiring (capturing) and managing enterprise images, particularly those involving visible light applications. The types of acquisition devices used for various general-purpose photography and specialized applications including dermatology, endoscopy, and anatomic pathology are reviewed. The formats and standards used, and the associated metadata requirements and communication protocols for transfer and workflow are considered. Particular emphasis is placed on the importance of metadata capture in both order- and encounter-based workflow. The benefits of using DICOM to provide a standard means of recording and accessing both metadata and image and video data are considered, as is the role of IHE and FHIR.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5023533 | PMC |
http://dx.doi.org/10.1007/s10278-016-9899-4 | DOI Listing |
Front Biosci (Landmark Ed)
December 2024
Graduate School of Information Science and Technology, Osaka University, 565-0871 Suita, Osaka, Japan.
Background: Fusion genes are important biomarkers in cancer research because their expression can produce abnormal proteins with oncogenic properties. Long-read RNA sequencing (long-read RNA-seq), which can sequence full-length mRNA transcripts, facilitates the detection of such fusion genes. Several tools have been proposed for detecting fusion genes in long-read RNA-seq datasets derived from cancer cells.
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December 2024
Department of Medical Biology, Faculty of Medicine, Ankara Yildirim Beyazit University (AYBU), 06800 Ankara, Turkey.
As one of the most common solid pediatric cancers, Neuroblastoma (NBL) accounts for 15% of all of the cancer-related mortalities in infants with increasing incidence all around the world. Despite current therapeutic approaches for NBL (radiotherapies, surgeries, and chemotherapies), these approaches could not be beneficial for all of patients with NBL due to their low effectiveness, and some severe side effects. These challenges lead basic medical scientists and clinical specialists toward an optimal medical interventions for clinical management of NBL.
View Article and Find Full Text PDFFront Biosci (Landmark Ed)
November 2024
Department of Hematology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, 317000 Taizhou, Zhejiang, China.
In this comprehensive review, we delve into the transformative role of artificial intelligence (AI) in refining the application of multi-omics and spatial multi-omics within the realm of diffuse large B-cell lymphoma (DLBCL) research. We scrutinized the current landscape of multi-omics and spatial multi-omics technologies, accentuating their combined potential with AI to provide unparalleled insights into the molecular intricacies and spatial heterogeneity inherent to DLBCL. Despite current progress, we acknowledge the hurdles that impede the full utilization of these technologies, such as the integration and sophisticated analysis of complex datasets, the necessity for standardized protocols, the reproducibility of findings, and the interpretation of their biological significance.
View Article and Find Full Text PDFFront Biosci (Landmark Ed)
December 2024
Department of Biological Sciences, Hunter College, City University of New York, New York, NY 10065, USA.
Background: Spatial-temporal control of mRNA translation in dendrites is important for synaptic plasticity. In response to pre-synaptic stimuli, local mRNA translation can be rapidly triggered near stimulated synapses to supply the necessary proteins for synapse maturation or elimination, and 3' untranslated regions (UTRs) are responsible for proper localization of mRNAs in dendrites. Although is a robust technique for analyzing RNA localization in fixed neurons, live-cell imaging of RNA dynamics remains challenging.
View Article and Find Full Text PDFJACS Au
December 2024
Laboratory of Bioorganic Chemistry, National Institutes of Diabetes, Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892, United States.
Methods that enable the on-demand synthesis of biologically active molecules offer the potential for a high degree of control over the timing and context of target activation; however, such approaches often require extensive engineering to implement. Tools to restrict the localization of assembly also remain limited. Here we present a new approach for stimulus-induced ligand assembly that helps to address these challenges.
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