Showing 1,541 - 1,560 results of 1,605 for search '"Medical research"', query time: 0.13s Refine Results
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    Novel type 2 diabetes prediction score based on traditional risk factors and circulating metabolites: model derivation and validation in two large cohort studiesResearch in context by Ruijie Xie, Christian Herder, Sha Sha, Lei Peng, Hermann Brenner, Ben Schöttker

    Published 2025-01-01
    “…The UK Biobank project was established through collaboration between various entities including the Wellcome Trust, the Medical Research Council, Department of Health, Scottish Government, and the Northwest Regional Development Agency. …”
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    Bone Marrow Mesenchymal Stem Cells-Derived Exosomes Inhibit Apoptosis of Pulmonary Microvascular Endothelial Cells in COPD Mice Through miR-30b/Wnt5a Pathway by Song Q, Zhou A, Cheng W, Zhao Y, Liu C, Zeng Y, Lin L, Zhou Z, Peng Y, Chen P

    Published 2025-01-01
    “…Qing Song,1– 4 Aiyuan Zhou,5 Wei Cheng,1– 4 Yiyang Zhao,6 Cong Liu,1– 4 Yuqin Zeng,1– 4 Ling Lin,1– 4 Zijing Zhou,1– 4 Yating Peng,1– 4 Ping Chen1– 4 1Department of Respiratory and Critical Care Medicine, the Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, People’s Republic of China; 2Clinical Medical Research Center for Pulmonary and Critical Care Medicine in Hunan Province, Changsha, 410011, People’s Republic of China; 3Diagnosis and Treatment Center of Respiratory Disease, Central South University, Changsha, Hunan, 410011, People’s Republic of China; 4Research Unit of Respiratory Disease, Central South University, Changsha, Hunan, 410011, People’s Republic of China; 5Department of Respiratory and Critical Care Medicine, the Xiangya Hospital of Central South University, Changsha, Hunan, 410011, People’s Republic of China; 6Ultrasound Imaging Department, Xiangya Hospital of Central South University, Changsha, Hunan, 410083, People’s Republic of ChinaCorrespondence: Ping Chen, Department of Respiratory and Critical Care Medicine, the Second Xiangya Hospital, Central South University, Renmin Middle Road, Changsha, Hunan, 410011, People’s Republic of China, Tel 13873115563, Email pingchen0731@csu.edu.cnBackground: Bone marrow mesenchymal stem cells (BMSCs)-derived exosomes are rich in a variety of active substances, including microRNA (miR) and have shown powerful therapeutic effects to ameliorate cell injury and diseases. …”
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    Long-term functioning status of COVID-19 survivors: a prospective observational evaluation of a cohort of patients surviving hospitalisation by Linamara Rizzo Battistella, Felipe Fregni, Marta Imamura, Vinicius Delgado Ramos, Lucas Ramos De Pretto, Simon K H A A Van Cauwenbergh, Sabrina Saemy Tome Uchiyama, Denise Matheus, Flavia Kuhn, Ana Alice Amaral de Oliveira, Gabriella Souza Naves, Aline Rossetti Mirisola, Fernando de Quadros Ribeiro, Andre Tadeu Sugawara, Mauricio Cantarino, Rafael Andrade Santos Antunes Cavalca, Vanessa Pagano, Melina Valentim Marques, Elizabeth Mendes da Silva, Alessandra Pereira Gomes

    Published 2022-07-01
    “…It analyses participants' sociodemographic background, COVID-19 clinical manifestations, and clinical and functional evaluations.Setting Tertiary-level university hospital in São Paulo, Brazil.Participants Study participants are COVID-19 survivors admitted to hospital care for at least 24 hours to treat acute SARS-CoV-2 infection.Outcome measures Epworth Sleepiness Scale, EuroQoL-5 Dimensions-5 Levels, Functional Assessment of Chronic Illness Therapy–Fatigue, Functional Independence Measure, Functional Oral Intake Scale, Handgrip Strength, Insomnia Severity Index, Medical Research Council (MRC) Dyspnea Scale, MRC sum score, Modified Borg Dyspnea Scale, pain Visual Analogue Scale, Post-COVID-19 Functional Status, Timed Up and Go, WHO Disability Assessment Schedule 2.0, 1-Minute Sit to Stand Test.Results Many participants required invasive mechanical ventilation (41.57%, 333 of 801). …”
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    Navigating Ethical Dilemmas Of Generative AI In Medical Writing by Qurrat Ulain Hamdan, Waleed Umar, Mahnoor Hasan

    Published 2024-10-01
    “…Data Hallucinations The tendency of generative AI chatbots to create false information or “data hallucinations” has been a cause of grave concern in the field of academia.4 Although ChatGPT declares that “it can make mistakes and users should consider checking important information”, unregulated false results generated by chatbots can significantly degrade the integrity and authenticity of medical research, which is a field characterized by strict ethical and moral guidelines. …”
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