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    Investigation of the Influence of Deletional and Non-Deletional Hemoglobin H Disease on Pregnancy Outcomes by Zhao KS, Pan QA, Yang HY, Su JY, Deng L

    Published 2025-01-01
    “…Kai Sun Zhao,1,* Qiao Ai Pan,2,* Hong Yan Yang,2 Jun You Su,2 Li Deng2 1Department of Obstetrics, The Second Nanning People’s Hospital (The Third Affiliated Hospital of Guangxi Medical University), Nanning, Guangxi, 530031, People’s Republic of China; 2Department of Obstetrics, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530007, People’s Republic of China*These authors contributed equally to this workCorrespondence: Li Deng; Junyou Su, Department of Obstetrics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, People’s Republic of China, Tel +86 13877105871 ; +86 15277199813, Email dengli@gxmu.edu.cn; sujunyou@sr.gxmu.edu.cnObjective: The study aimed to provide clinical evidence regarding the perinatal management of HbH disease by comparing and analyzing blood routine, anemia characteristics, and their influence on pregnancy outcomes in patients with common deletional and non-deletional HbH disease at various pregnancy stages.Patients and Methods: From May 2017 to October 2023, a comparative analysis was conducted on pregnant women undergoing treatment at the Second Affiliated Hospital of Guangxi Medical University and the Second Nanning People’s Hospital. …”
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  4. 4664

    Advancements and challenges in agriculture: a comprehensive review of machine learning and IoT applications in vertical farming and controlled environment agriculture by Binoy Sasmal, Gobinda Das, Preeti Mallick, Sneha Dey, Suman Ghorai, Subrata Jana, Chiranjibe Jana

    Published 2024-06-01
    “…Implementing VF will solve many challenges by utilizing modern machine learning, IoT, and AI techniques, increasing VF productivity and quality. …”
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  5. 4665

    Large language models generating synthetic clinical datasets: a feasibility and comparative analysis with real-world perioperative data by Austin A. Barr, Joshua Quan, Eddie Guo, Emre Sezgin, Emre Sezgin

    Published 2025-02-01
    “…Recent advances in large language models (LLMs) provide an opportunity to generate synthetic data with reduced reliance on domain expertise, computational resources, and pre-training.ObjectiveThis study aims to assess the feasibility of generating realistic tabular clinical data with OpenAI’s GPT-4o using zero-shot prompting, and evaluate the fidelity of LLM-generated data by comparing its statistical properties to the Vital Signs DataBase (VitalDB), a real-world open-source perioperative dataset.MethodsIn Phase 1, GPT-4o was prompted to generate a dataset with qualitative descriptions of 13 clinical parameters. …”
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    Genetic parameters and parental and early-life effects of boar semen traits by Pedro Sá, Rodrigo M. Godinho, Marta Gòdia, Claudia A. Sevillano, Barbara Harlizius, Ole Madsen, Henk Bovenhuis

    Published 2025-02-01
    “…The dataset included measurements on 449,966 ejaculates evaluated using a Computer-Assisted Sperm Analysis (CASA) system from 5692 artificial insemination (AI) boars. In total, we considered 16 semen traits measured on fresh semen and 6 sperm motility traits measured on semen after storage. …”
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    A Conversational Agent for Empowering People with Parkinson’s Disease in Exercising Through Motivation and Support by Patricia Macedo, Rui Neves Madeira, Pedro Albuquerque Santos, Pedro Mota, Beatriz Alves, Carla Mendes Pereira

    Published 2024-12-01
    “…While the broader MoveONParkinson project has been previously described from a health-focused perspective, this study specifically focuses on the development and integration of an AI-driven conversational agent (CA) for the Portuguese language, called PANDORA, within the mobile interface of the solution to assist and motivate PwPD in their exercise routines. …”
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    Precision oncology through next generation sequencing in hepatocellular carcinoma by Sayali Shinde, Carola Maria Bigogno, Ana Simmons, Nikita Kathuria, Aruni Ghose, Vedika Apte, Patricia Lapitan, Shania Makker, Aydin Caglayan, Stergios Boussios

    Published 2025-02-01
    “…The purpose of this article is to highlight how NGS has contributed to precision medicine in HCC and the possible integration of artificial intelligence (AI) to bolster the advancement.…”
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