Showing 4,801 - 4,820 results of 5,248 for search '"AI"', query time: 0.07s Refine Results
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    Innovative Deep Learning Architecture for the Classification of Lung and Colon Cancer From Histopathology Images by Menatalla M. R. Said, Md. Sakib Bin Islam, Md. Shaheenur Islam Sumon, Semir Vranic, Rafif Mahmood Al Saady, Abdulrahman Alqahtani, Muhammad E. H. Chowdhury, Shona Pedersen

    Published 2024-01-01
    “…This underscores the potential of artificial intelligence (AI) to significantly enhance diagnostic precision within clinical settings, portraying a promising avenue for improving patient care and outcomes. …”
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  6. 4806

    Transforming 5G Mega-Constellation Communications: A Self-Organized Network Architecture Perspective by Marius Corici, Marius Caus, Xavier Artiga, Alessandro Guidotti, Benjamin Barth, Tomaso de Cola, Justin Tallon, Hemant Zope, Daniele Tarchi, Fanny Parzysz, David Naseh, Swapnil Sadashiv Shinde

    Published 2025-01-01
    “…Then, we detail a 5G network architecture incorporating these principles, which includes 1) dynamic placement and migration of radio and core network control plane functions, 2) the strategic positioning of the data path, service, and AI decision functionalities to improve end-to-end service quality and reliability, and 3) the integration of dynamically established multi-connectivity options to increase the overall service dependability. …”
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    Outcomes, Healthcare Resource Utilization, and Costs of Overall, Community-Acquired, and Hospital-Acquired Acute Kidney Injury in COVID-19 Patients by Jay L. Koyner, Rachel H. Mackey, Ning A. Rosenthal, Leslie A. Carabuena, J. Patrick Kampf, Paul McPherson, Toni Rodriguez, Aarti Sanghani, Julien Textoris

    Published 2023-02-01
    “…**Methods:** This retrospective cohort study included inpatients with COVID-19 discharged from US hospitals in the Premier PINC AI™ Healthcare Database April 1–October 31, 2020, categorized as AKI, CA-AKI, HA-AKI, or no AKI by ICD-10-CM diagnosis codes. …”
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    A Comparative Analysis of Explainable Artificial Intelligence Models for Electric Field Strength Prediction over Eight European Cities by Yiannis Kiouvrekis, Ioannis Givisis, Theodor Panagiotakopoulos, Ioannis Tsilikas, Agapi Ploussi, Ellas Spyratou, Efstathios P. Efstathopoulos

    Published 2024-12-01
    “…This sensor-driven approach, coupled with explainable AI, enables us to identify key factors influencing electromagnetic exposure more accurately. …”
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  12. 4812

    Viral Transcript and Tumor Immune Microenvironment-Based Transcriptomic Profiling of HPV-Associated Head and Neck Squamous Cell Carcinoma Identifies Subtypes Associated with Progno... by Anastasiia Nikitina, Daria Kiriy, Andrey Tyshevich, Dmitry Tychinin, Zoya Antysheva, Anastasya Sobol, Vladimir Kushnarev, Nara Shin, Jessica H. Brown, James Lewis, Krystle A. Lang Kuhs, Robert Ferris, Lori Wirth, Nikita Kotlov, Daniel L. Faden

    Published 2024-12-01
    “…Human papillomavirus (HPV)-associated head and neck squamous cell carcinoma (HPV-positive HNSCC) has distinct biological characteristics from HPV-negative HNSCC. Using an AI-based analytical platform on meta cohorts, we profiled expression patterns of viral transcripts and HPV viral genome integration, and classified the tumor microenvironment (TME). …”
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  13. 4813

    载脂蛋白A5基因多态性与冠心病患者血脂及冠脉狭窄程度的相关性 by 王艳玫, 余刘勤, 张井潇, 欧阳肖肖, 宋永砚

    Published 2017-01-01
    “…【结果】CHD组高血压患病率、甘油三酯(TG)、总胆固醇(TC)、载脂蛋白B100(APOB100)、脂蛋白a[Lp (a)]、TG/高密度脂蛋白胆固醇(HDL-C)、TC/HDL-C、低密度脂蛋白胆固醇(LDL-C)/HDL-C 和 APOB100/载脂蛋白 AI (APOAI)水平高于对照组 ,HDL-C 和 APOAI 水平低于对照组,差异均有统计学意义(P < 0.05)。…”
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    A Pilot Study of Exosome Proteomic Profiling Reveals Dysregulated Metabolic Pathways in Endometrial Cancer by Feras Kharrat, Valeria Capaci, Andrea Conti, Valentina Golino, Pietro Campiglia, Nour Balasan, Michelangelo Aloisio, Danilo Licastro, Lorenzo Monasta, Federica Caponneto, Antonio Paolo Beltrami, Federico Romano, Giovanni di Lorenzo, Giuseppe Ricci, Blendi Ura

    Published 2025-01-01
    “…To identify dysregulated proteins associated with EC we exploited a combined in vitro/in silico approach analyzing the proteome of exosomes with advanced MS techniques and annotating their results by using Chymeris1 AI tools. <b>Methods</b>: To this aim in this pilot study, we performed a deep proteomics analysis with high resolution MS (HRMS), advanced computational tools and western blotting for proteomics data validation. …”
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  19. 4819

    Advanced tissue technologies of blood-brain barrier organoids as high throughput toxicity readouts in drug development by Luisa Bell, Claire Simonneau, Chiara Zanini, Elena Kassianidou, Christelle Zundel, Rachel Neff, Bernd Steinhuber, Marco Tecilla, Alex Odermatt, Roberto Villaseñor, Nadine Stokar-Regenscheit

    Published 2025-01-01
    “…We developed an artificial intelligence (AI) algorithm to increase the throughput and the reliability of histomorphologic evaluations of apoptosis for in vitro toxicity studies. …”
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