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  1. 1

    Drug-induced autoimmune-like hepatitis: A disproportionality analysis based on the FAERS database. by Wangyu Ye, Yuan Ding, Meng Li, Zhihua Tian, Shaoli Wang, Zhen Liu

    Published 2025-01-01
    “…<h4>Background</h4>Drug-induced autoimmune-like hepatitis (DI-ALH) is a potentially life-threatening condition that can lead to acute liver failure and necessitate liver transplantation. …”
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  2. 2

    Glucagon-like peptide-1 receptor agonist-induced cholecystitis and cholelithiasis: a real-world pharmacovigilance analysis using the FAERS database by Chao Tao, Chao Tao, Yinhui Zhang, Yinhui Zhang, Tenggang Wan, Wenting Zhao, Jing Chen, Ke Wang, Ke Wang, Liuxuan Yang, Guojun Wang, Qian Ding, Jinlu Shang, Meiling Zhou

    Published 2025-07-01
    “…BackgroundWith the widespread use of glucagon-like peptide-1 receptor agonists (GLP-1 RAs) in managing diabetes and obesity, the occurrence of GLP-1 RA-induced cholecystitis and cholelithiasis has raised increasing concern among healthcare professionals.MethodsThis study extracted adverse event reports of GLP-1 RA-induced cholecystitis and cholelithiasis from the FDA Adverse Event Reporting System database, covering Q1 2004 to Q2 2024. …”
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    MCPdb: The bacterial microcompartment database. by Jessica M Ochoa, Kaylie Bair, Thomas Holton, Thomas A Bobik, Todd O Yeates

    Published 2021-01-01
    “…Bacterial microcompartments are organelle-like structures composed entirely of proteins. They have evolved to carry out several distinct and specialized metabolic functions in a wide variety of bacteria. …”
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  5. 5

    Gastrointestinal Safety Assessment of GLP-1 Receptor Agonists in the US: A Real-World Adverse Events Analysis from the FAERS Database by Samuel Prince Osei, Edwin Akomaning, Teodora Francesca Florut, Mohit Sodhi, Brian E. Lacy, Wafa A. Aldhaleei, Akshaya Srikanth Bhagavathula

    Published 2024-12-01
    “…<b>Background:</b> Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) are commonly used to treat obesity and diabetes but are linked to a variety of gastrointestinal (GI) adverse events (AEs). …”
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  6. 6

    Comparative analysis of the performance of relational and non-relational databases in applications implemented in C# by Patryk Baliński, Łukasz Chudy, Maria Skublewska-Paszkowska

    Published 2025-03-01
    “…The research examines the speed of data retrieval, updating, and deletion, in the context of five different databases, including relational ones like PostgreSQL, MySql, Oracle, and non-relational ones such as Neo4j and MongoDB. …”
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  7. 7

    Streaming Database System for Deaf People by Ammar Thaher Yaseen Taha Al Abd Alazeez

    Published 2022-09-01
    “… Most of the traditional SQL keeps database records that do not often alternate. Models are client connection control systems or web and website online systems that replace like clockwork/seconds. …”
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    Use of Clinical Public Databases in Hidradenitis Suppurativa Research by Xu Liu, Linghong Guo, Xian Jiang

    Published 2025-02-01
    “…Our key messages are as follows: (1) these databases enable large-scale studies integrating genetic, epidemiological, and clinical data, providing crucial insights into HS’s genetic predispositions, comorbidities, and treatment outcomes; (2) findings highlight a strong genetic component, with mutations in the γ-secretase complex playing a key role in HS pathogenesis and shaping targeted therapies; (3) studies also reveal elevated risks for comorbidities like obesity, diabetes, cardiovascular disease, and systemic inflammation in patients with HS, with diet-driven inflammatory pathways potentially exacerbating disease severity; (4) while these databases offer unprecedented research opportunities, limitations such as data representativeness and quality must be considered; (5) nonetheless, their benefits outweigh potential drawbacks, allowing the identification of rare comorbidities, disease progression patterns, and personalized treatment strategies; and (6) increased funding for HS research is crucial to harness these databases’ full potential, develop targeted therapies, and ultimately improve patient outcomes. …”
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  10. 10

    Analysis and modeling of digital solutions in medical database management by Rakhimov Bakhtiyar, Rakhimova Feruza, Saidov Atabek, Saidova Zarina

    Published 2025-01-01
    “…The results demonstrate superior performance compared to reference techniques, maintaining over 90% accuracy in locating key areas even with a database of 200 images. This high accuracy is attributed to expanded Haar-like feature templates, efficient computation using integral images, and a comprehensive contour feature extraction process. …”
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  11. 11

    Unlocking the potential of CRISPR tools and databases for precision genome editing by Pooja Saraswat, Rajiv Ranjan

    Published 2025-07-01
    “…Furthermore, we discuss new trends in database development like their integration with genome browsers and implementation of machine learning. …”
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    Enhancing Security of Databases through Anomaly Detection in Structured Workloads by Charanjeet Dadiyala, Faijan Qureshi, Kritika Anil Bhattad, Sourabh Thakur, Nida Tabassum Sharif Sheikh, Kushagra Anil Kumar Singh

    Published 2025-02-01
    “…Furthermore, anomaly detection systems powered by advanced algorithms and machine learning enable real-time database activities analysis, addressing challenges like preprocessing, model training and scalability. …”
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  13. 13

    Enhancing Security of Databases through Anomaly Detection in Structured Workloads by Charanjeet Dadiyala, Faijan Qureshi, Kritika Anil Bhattad, Sourabh Thakur, Nida Tabassum Sharif Sheikh, Kushagra Anil Kumar Singh

    Published 2025-02-01
    “…Furthermore, anomaly detection systems powered by advanced algorithms and machine learning enable real-time database activities analysis, addressing challenges like preprocessing, model training and scalability. …”
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    Creation of databases for a virtual training library in fashion design by Sheilla Odhiambo, Alexandra De Raeve, Cosmin Copot, Ion Razvan Radulescu, Andreja Rudolf, Tadeja Penko, Xianyi Zeng, Xuyuan Tao, Thu-Ha Do, Alexandra Cardoso, Irina Ionescu, Joris Cools

    Published 2024-08-01
    “… A library of knowledge that contains a fabric database, 3D human body models database, and 3D garment database has been developed in the framework of the Erasmus+ project DigitalFashion – “Collaborative Online International Learning in Digital Fashion”, which is a collaboration of 6 European partners who would like to strengthen their working together through collaboration in online international teaching. …”
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  16. 16

    Cloud Database Analysis of Instant Messaging Apps on Mobile Devices by Roland Szabo

    Published 2025-02-01
    “…The second app is a standalone emoji sender app, which does the same thing as the previous app but uses its own database, not the WhatsApp database.…”
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    Analysis and mining of Dupilumab adverse events based on FAERS database by Hui Gao, Liqiang Cao, Chengying Liu

    Published 2025-03-01
    “…Abstract This study aims to explore potential adverse events (AEs) related to Dupilumab using data from the US FDA Adverse Event Reporting System (FAERS) database. The FAERS database from Q2 2017 to Q4 2023 was mined for AEs related to Dupilumab. …”
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  18. 18

    Association of pruritus and chronic cough: an all of us database study by Divija Sharma, Juliana Pulsinelli, Joel Correa da Rosa, Zhen Wang, Brian Kim, Benjamin Ungar

    Published 2024-12-01
    “…Treatments like difelikefalin and nalbuphine that modulate these pathways, alongside P2X3 targeting agents, are emerging as potential therapeutic approaches for itch and chronic cough given the possible interconnected pathophysiology. …”
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    Evaluation and study of adverse reactions to imiglucerase based on the FAERS database by Pan Hong, Qingbo Zhou

    Published 2025-08-01
    “…Abstract Objective This study aims to evaluate the adverse drug reactions associated with imiglucerase in the treatment of Gaucher disease by analyzing data from the FDA Adverse Event Reporting System (FAERS) database. Methods A comprehensive analysis was conducted on 166,800,135 adverse event reports from the FAERS database, covering the period from the first quarter of 2004 to the fourth quarter of 2023. …”
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    Creating National Weights for a Patient-level Longitudinal Database by Onur Baser, Li Wang, Jon Maguire

    Published 2016-03-01
    “…Relative to MEPS data, patients included in the private insurance data were more likely to be male, older, to have a chronic condition, and to be white (p=0.0000). …”
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