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  1. 15301

    H-NMR metabolomics identifies three distinct metabolic profiles differentially associated with cardiometabolic risk in patients with obesity in the Di@bet.es cohort by Enrique Ozcariz, Montse Guardiola, Núria Amigó, Sergio Valdés, Wasima Oualla-Bachiri, Pere Rehues, Gemma Rojo-Martinez, Josep Ribalta

    Published 2024-11-01
    “…In addition, H-NMR metabolomics improved the prediction of future cardiometabolic disease in comparison with models relying on just anthropometric measures. …”
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    Identification and Location Method of Bitter Gourd Picking Point Based on Improved YOLOv5-Seg by Sheng Jiang, Yechen Wei, Shilei Lyu, Hualin Yang, Ziyi Liu, Fangnan Xie, Jiangbo Ao, Jingye Lu, Zhen Li

    Published 2024-10-01
    “…Firstly, the improved algorithm model was used to identify and segment bitter gourd and melon stems. …”
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    AI-driven generative and reinforcement learning for mechanical optimization of 2D patterned hollow structures by Yicheng Shan, Leitao Cao, Yu Wang, Jing Ren, Chen Huang, Wenli Gao, Shengjie Ling

    Published 2025-01-01
    “…The cGAN accurately predicts stress distributions, achieving a high correlation with finite element analysis (FEA) results while reducing computational time from approximately 40 s (FEA) to just 1–2 s per prediction. …”
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  10. 15310

    Inflammatory markers mediate the association between alternative adiposity indices and mortality in patients with rheumatoid arthritis: data from NHANES 1999–2018 by Feng Luo, Jia-jie Guo, Xue-mei Yuan, Heng Zhou, Qiu-yi Wang, Chang-ming Chen, Xue-ming Yao, Wu-kai Ma

    Published 2025-05-01
    “…Traditional obesity indicators inadequately predict the mortality risk in this population. Thus, the research aimed to evaluate new obesity indicators to explore their close association with RA mortality. …”
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    Article
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    Automatic Characterization of Prostate Suspect Lesions on T2-Weighted Image Acquisitions Using Texture Features and Machine-Learning Methods: A Pilot Study by Teodora Telecan, Cosmin Caraiani, Bianca Boca, Roxana Sipos-Lascu, Laura Diosan, Zoltan Balint, Raluca Maria Hendea, Iulia Andras, Nicolae Crisan, Monica Lupsor-Platon

    Published 2025-01-01
    “…<b>Objectives</b>: We aimed to develop a machine-learning algorithm that predicts the ISUP grade of manually contoured prostate nodules on T2-weighted images and classifies them into clinically significant and indolent ones. …”
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  13. 15313

    Investigating Transcriptional Age Acceleration in Inflammatory Skin Diseases by Richie Jeremian, Melissa Galati, Rayyan Fotovati, Kaiyang Li, Carolyn Jack, David O. Croitoru, Stephan Caucheteux, Philippe Lefrançois, Vincent Piguet

    Published 2025-09-01
    “…Five of 7 transcriptional clocks demonstrated moderate-to-strong accuracy in predicting age across groups (patients with atopic dermatitis: ρ = 0.40–0.86, those with hidradenitis suppurativa: ρ = 0.46–0.74, those with plaque psoriasis: ρ = 0.50–0.80, healthy subjects: ρ = 0.32–0.60; P < .05). …”
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    A Data Mining Approach to Consumers’ Choice of Retail Market: The Case of Urban Retail Markets in Iran by H. Hashemzadeh, N. Yousefian, S. Esfandiari Bahraseman, A. Karbasi, A. Firoozzare

    Published 2024-12-01
    “…This study examines the various socio-economic factors influencing consumers' decisions in the retail market by using the C4.5 algorithm. The data were collected using a random sampling method through a survey of 189 consumers, focusing on the population of Mashhad, Iran, during 2019-2020. …”
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