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  1. 4781

    Birth and weaning weights in buffalo calves resulting from artificial insemination or natural mating in Venezuela by Aitor De Ondiz, Génesis Morales, Mariana S. Perea, Wilmer Morán, Juan Carlos Gutiérrez-Añez, Fernando P. Perea

    Published 2023-11-01
    “…During the study period, 15 AI and ten natural mating bulls were used. Data were analyzed by the general linear model of SAS. …”
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  7. 4787

    Segmentation of Laser Marks of Diabetic Retinopathy in the Fundus Photographs Using Lightweight U-Net by Yukang Jiang, Jianying Pan, Ming Yuan, Yanhe Shen, Jin Zhu, Yishen Wang, Yewei Li, Ke Zhang, Qingyun Yu, Huirui Xie, Huiting Li, Xueqin Wang, Yan Luo

    Published 2021-01-01
    “…With accurate segmentation and high numeric metrics, the lightweight U-Net method showed its reliable performance in automatically segmenting laser marks in fundus photographs, which could help the AI assist the diagnosis of DR in the severe stage.…”
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  14. 4794

    Ocular changes after simultaneous kidney-pancreas transplant by I.V. Vorobyeva, Е.V. Bulava, L.K. Moshetova, A.V. Pinchuk

    Published 2022-05-01
    “…Sklifosovskiy Research Institute for Emergency Medical Aid, Moscow, Russian Federation</b> </p> <p> <b><sup>3</sup>A.I. Yevdokimov Moscow University of Medicine &amp; Dentistry, Moscow, Russian Federation</b> </p> <p> <b><sup>4</sup>Research Institute of Public Health Organization and Medical Management, Moscow,&nbsp;&nbsp;</b>&nbsp;<b>Russian Federation</b> </p> <p> <i>Type 1 diabetes (T1D) is one of the most common chronic diseases in young individuals. …”
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  17. 4797

    Protein identification using Cryo-EM and artificial intelligence guides improved sample purification by Kenneth D. Carr, Dane Evan D. Zambrano, Connor Weidle, Alex Goodson, Helen E. Eisenach, Harley Pyles, Alexis Courbet, Neil P. King, Andrew J. Borst

    Published 2025-06-01
    “…It highlights the potential of combining Cryo-EM with AI-driven tools for accurate protein identification and addressing purification challenges across diverse contexts in protein science.…”
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  18. 4798
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  20. 4800

    Unlocking the Potential of Receptor-Based Approaches in Diabetes Treatment by Mohsina Patwekar, Faheem Patwekar, J. Pavan Kumar, P. Dharani Prasad, Nazia Malik, A. Venkata Badarinath, Prashanth Parupathi, Konatham Teja Kumar Reddy, Selvaraja Elumalai, Zainul Abedeen Ab Samad

    Published 2025-01-01
    “…Additionally, patient monitoring, adherence, and self-management will be greatly aided by the integration of digital health technology, telemedicine, and artificial intelligence (AI), thus leading to better treatment outcomes and patient quality of life. …”
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