EMPOWERING DIGITAL TWIN FOR FUTURE NETWORKS WITH GRAPH NEURAL NETWORKS: OVERVIEW, ENABLING TECHNOLOGIES, CHALLENGES, AND OPPORTUNITIES

Empowering Digital Twin for Future Networks with Graph Neural Networks: Overview, Enabling Technologies, Challenges, and Opportunities

As the complexity and scale of modern networks continue to grow, the need for efficient, secure management, and optimization becomes increasingly vital.Digital twin (DT) technology has emerged as a promising approach to address these challenges by providing a virtual representation of the physical network, enabling analysis, diagnosis, emulation, a

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Identification of a radiosensitivity signature using integrative metaanalysis of published microarray data for NCI-60 cancer cells

Abstract Background In the postgenome era, a prediction of response to treatment could lead to better dose selection for patients in radiotherapy.To identify a radiosensitive gene signature and elucidate related signaling pathways, four different microarray experiments were reanalyzed before radiotherapy.Results Radiosensitivity profiling data usin

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