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  • Cracking the code: predicting tumor microenvironment enabled chemoresistance with machine learning in the human tumoroid models

    Cracking the code: predicting tumor microenvironment enabled chemoresistance with machine learning in the human tumoroid models

    Tumoroids derived from different tumor microenvironment cell compositions respond differentially to 5 different chemo- and targeted therapies

    HGSCs are comprised of multiple cell types, including epithelial cancer cells, mesenchymal cancer cells,…

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  • Mathematical modeling and statistical analysis of breast cancer drugs using M-polynomial indices for the physical properties

    Mathematical modeling and statistical analysis of breast cancer drugs using M-polynomial indices for the physical properties

    In this work, we are calculating the degree based M-polynomial indices for Daunorubicin. we are using edge partition method technique to compute the indices. For the edges partition, we are converting the chemical structure of Daunorubicin into…

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  • Deep learning with leagues championship algorithm based intrusion detection on cybersecurity driven industrial IoT systems

    Deep learning with leagues championship algorithm based intrusion detection on cybersecurity driven industrial IoT systems

    In this work, a CLAFS-ODLCD model for securing the digital ecosystem is proposed. The CLAFS-ODLCD technique focuses on the recognition and classification of cyberattacks in the IoT infrastructure. To achieve this, the CLAFS-ODLCD technique…

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  • Structural and ion transport characteristics of transparent proton conducting biopolymer electrolytes based on chitosan and cold water fish skin gelatin

    Structural and ion transport characteristics of transparent proton conducting biopolymer electrolytes based on chitosan and cold water fish skin gelatin

    FTIR study

    FTIR spectroscopy is a key technique for identifying interactions in polymer electrolytes. Shifts in spectral bands indicate coordination between salt cations and polymer functional groups, primarily involving lone pairs on oxygen and…

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