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  • Using RNA-seq for detecting MRD in multiple myeloma: high sensitivity and prognostic value

    Using RNA-seq for detecting MRD in multiple myeloma: high sensitivity and prognostic value

  • Rajkumar SV. Multiple myeloma: 2018 update on diagnosis, risk-stratification, and management. Am J Hematol. 2018;93:1091–110.

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  • Rajkumar SV, Dimopoulos MA, Palumbo A, Blade…

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  • A deep learning based framework for music-synchronized dance choreography with pose quantization and motion prediction for activity recognition

    A deep learning based framework for music-synchronized dance choreography with pose quantization and motion prediction for activity recognition

    This section is divided into four main parts in the first part the detail about the AIST + + dataset is presented along with its associated difficulties. In the second part modified ViT is presented along with its mathematical details. This…

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  • Radon gas mapping for environmental assessment in Dessie, Ethiopia

    Radon gas mapping for environmental assessment in Dessie, Ethiopia

    Identifications of the geological formation

    The geological structures of Dessie town consist of basalt rocks, as indicated on the Dessie town map sheet included in the appendix. The Dessie town map was drawn using QGIS software version 3.34, as…

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  • Hierarchical optimal configuration model and algorithm for counterterrorism resource allocation

    Hierarchical optimal configuration model and algorithm for counterterrorism resource allocation

    Demand evolution and response mechanism

    In the hierarchical network \(G({V}_{i},{V}_{j})\), whether a facility can effectively provide resources to the attacked node depends on its own configuration and the distance from the node. A city node

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  • Artificial intelligence for predicting depression anxiety and stress using psychometric data

    Artificial intelligence for predicting depression anxiety and stress using psychometric data

    The proposed scheme utilize DASS-42 questionnaire for evaluation. Predicting of depression, anxiety, and stress illness is achieved using RF, DT, NB, KNN, and SVM algorithm’s. A comparison is made between the performance of five different…

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  • Empowering researchers with open access genomic platforms

    Empowering researchers with open access genomic platforms

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    Advances in genomics are transforming our understanding of health and disease, with open science playing a pivotal role in democratizing large-scale datasets and machine learning platforms.

    This webcast will do a deep…

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  • Automated pipeline for operant behavior phenotyping for high-throughput data management, processing, and visualization

    Automated pipeline for operant behavior phenotyping for high-throughput data management, processing, and visualization

    High-throughput characterization of addiction-like behaviors for GWAS and the rat biobanks

    Extended access self-administration models provide high construct, face, and predictive validity for substance use disorders as they reproduce escalation of…

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  • MobileDANet integrating transfer learning and dynamic attention for classifying multi target histopathology images with explainable AI

    MobileDANet integrating transfer learning and dynamic attention for classifying multi target histopathology images with explainable AI

    This section provides a detailed discussion of the proposed MobileDANet framework for multi-target histopathology image classification. Initially, the section presents the input datasets and their pre-processing, followed by an outline of the…

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