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    亚

    亚利桑那大学医学院 - 土桑

    University of Arizona College of Medicine – Tucson
    院校
    4,304论文总数
    11.6万引用总数

    The University of Arizona College of Medicine – Tucson, located in Tucson, Arizona, is one of three MD granting medical schools in the state of Arizona, affiliated with the University of Arizona. The University of Arizona College of Medicine – Phoenix was initially established as a branch campus in 2007, but became an independent medical school in 2012. The College of Medicine – Tucson campus is located at the University of Arizona Health Sciences (UAHS) center on the campus of the University of Arizona and is governed by the Arizona Board of Regents. Traditionally, the college accepted Arizona residents exclusively. However, beginning the 2009–2010 incoming class, the school changed its policy to allow for admission of "highly-qualified," non-residents.

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    Joseph S. Alpert
    Joseph S. Alpert
    Department of Medicine, College of Medicine – Tucson, University of Arizona
    论文:44引用:0H-index:0
    Janko Nikolich Žugich
    Janko Nikolich Žugich
    Arizona Center on Aging, University of Arizona;Department of Immunobiology, College of Medicine, University of Arizona
    论文:30引用:0H-index:0
    David G. Armstrong
    David G. Armstrong
    Keck School of Medicine, University of Southern California
    论文:27引用:0H-index:0
    Michael Grandner
    Michael Grandner
    Department of Psychiatry, College of Medicine – Tucson, University of Arizona
    论文:25引用:0H-index:0
    Karl B. Kern
    Karl B. Kern
    College of Medicine-Tucson, University of Arizona
    论文:23引用:0H-index:0
    Min Hee Ryu
    Min Hee Ryu
    Department of Oncology, Asan Medical Center
    论文:18引用:0H-index:0
    Vance G. Nielsen
    Vance G. Nielsen
    Department of Anesthesiology, College of Medicine, University of Arizona;Arizona Health Sciences Center, University of Arizona
    论文:18引用:0H-index:0
    Marlys H Witte
    Marlys H Witte
    Department of Surgery, College of Medicine, The University of Arizona
    论文:16引用:0H-index:0
    Gordon A. Ewy
    Gordon A. Ewy
    Department of Medicine, College of Medicine – Tucson, The University of Arizona;Division of Cardiology, Sarver Heart Center, College of Medicine – Tucson, The University of Arizona
    论文:15引用:0H-index:0

    论文(4306)

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    1Advances in the Understanding of REM Sleep Behavior Disorder As a Biomarker for Neurodegenerative Diseases
    Sikawat Thanaviratananich, Andrea Nguyen, Matthew Chaung, Jeffrey S Patterson, Joyce K Lee-Iannotti

    REM sleep behavior disorder (RBD) is a well-established prodromal marker of α-synucleinopathies, including Parkinson’s disease, dementia with Lewy bodies, and multiple system atrophy. Over 80

    2026Current Sleep Medicine Reports(2026)引用:134
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    2Performance of Large Language Models in Answering Osteoporosis-Related Frequently Asked Questions: A Systematic Comparative Evaluation Based on International Associations.
    Xuhui Wu, Jing Li,Shuying Liu, Yue Li,Qinyi Wang, Chuo Luo, Linke Shi, Yanfen Zheng, Lingqiong Meng, Min Fan,Zhifeng Sheng, Na Ouyang

    To systematically evaluate and compare the performance of large language models (LLMs) in answering osteoporosis-related frequently asked questions (FAQs) derived from international osteoporosis-related associations. A standardized question bank was constructed based on FAQs summarized from three international osteoporosis-related associations. Six LLMs were prompted to generate responses to all questions under uniform conditions. Two osteoporosis experts independently and blindly evaluated all responses using 5-point Likert scales for accuracy and comprehensiveness. Inter-rater reliability was assessed using Cohen’s κ coefficient. Nonparametric statistical analyses, including Kruskal-Wallis tests with Dunn’s post hoc comparisons and Wilcoxon signed-rank tests, were performed to compare models’ performance. A total of 528 responses were generated from 88 association-based questions. Inter-rater agreement was good for both accuracy and comprehensiveness (κ = 0.668 and 0.702, respectively). Significant differences were observed among models, with Claude Sonnet 4.5 demonstrating the highest overall performance on association-based FAQs. Although most models showed solid medical knowledge and basic reasoning ability, substantial variability was observed across question types and prompt formulations. Current LLMs demonstrate promising potential as auxiliary tools for osteoporosis-related health management. However, it is necessary to optimize the strategies for integrating medical knowledge and designing prompts, so as to better improve the accessibility of its clinical application.

    2026Calcified Tissue International(2026)引用:16
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    3Decoding Wound Healing: Cellular Insights and Technological Advances
    Kayleigh A Berthiaume Fox, Emily R Galvin, Erika Kness-Knezinskis, Andrew C Hostler, Kellen Chen, Geoffrey C Gurtner

    Wound healing is a complex process involving spatiotemporal patterning of cellular activity across four overlapping phases: hemostasis, inflammation, proliferation, and remodeling, which restore anatomic and functional tissue integrity. Recent advances in cell-based technologies have increased focus on cell populations, heterogeneity, and phenotypes during healing. This manuscript reviews traditional and emerging technologies that advance our understanding of the cellular biology of wounds, from histological methods to high-resolution single-cell, spatial-, and multi-omics.

    2026npj biomedical innovations(2026)引用:7
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    4Non-ST-segment Elevation Acute Coronary Syndrome: Understanding the Full Spectrum to Guide Management.
    Stefano Savonitto,Joseph S Alpert,Holger Thiele,Gianluca Campo,Giampaolo Niccoli,Stefano De Servi,Eugene Braunwald, Christopher B Granger

    Acute coronary syndromes are caused by obstructive coronary thrombosis complicating myocardial ischaemic disease and are dichotomously classified according to their electrocardiographic presentation as ST-segment elevation myocardial infraction or non-ST-segment elevation acute coronary syndrome, either without or with elevated myocardial necrosis markers. Initial diagnosis and risk stratification are reliably guided by symptoms, electrocardiographic changes, and troponin elevation and require exclusion of alternative conditions, such as Type 2 myocardial infarction and myocardial injury due to systemic conditions. Timely coronary angiography is a key component of the initial diagnosis to assess the presence of occlusive coronary artery disease, rather than an myocardial infarction with non-occluded coronary arteries, and the suitability for revascularization. While clinical trials with randomization prior to angiography have shown reduction in recurrent myocardial infarction and urgent revascularization with a neutral effect on mortality from an early invasive approach, increased revascularization rates have been systematically associated with reduced mortality in registries and administrative databases. Complete revascularization in patients with multivessel disease has been shown to reduce mortality compared with culprit-only revascularization. The safety of this approach has been shown even in fragile, elderly, and multimorbid patients. Post-acute treatment should be focused on patient-tailored antithrombotic therapy and disease-modifying secondary prevention approaches. This review describes the complex spectrum of non-ST-segment elevation acute coronary syndrome and the importance of complete clinical and coronary angiographic assessment for optimal patient-centred treatment.

    2026European heart journal(2026)引用:4
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    5Double Cutoff Strategies for Plasma Ptau217 to Predict Tau PET Positivity Across Multiple Assay Platforms: Tau-enriched and Tau-scarce Cohorts for Cost-Effective Clinical Use
    Heekyoung Kang, Yuna Gu, Jungah Lee, Soyeon Yoon,Henrik Zetterberg,Kaj Blennow, Fernando Gonzalez-Ortiz, Nicholas J. Ashton,Theresa A. Day, Michael W. Weiner, Daeun Shin, Sohyun Yim,

    We aimed to evaluate whether double cutoff strategies for plasma pTau217 across multiple assay platforms improve tau PET positivity prediction compared with single cutoffs and support cost-effective clinical use. We analyzed two cohorts: K-ROAD (n = 120; tau-enriched) and NA-ADNI (n = 280; tau-scarce). Tau PET positivity was defined within the temporal meta-ROI as SUVR > mean + 2 SD of Aβ-negative CU. Single and double cutoffs were compared for accuracy and misclassification-related costs. Single cutoffs showed good accuracy across most assays (AUCs > 0.80), except for C2N ratio. Double cutoffs modestly improved accuracy but expanded intermediate groups, in the tau-scarce cohort. Cost analyses revealed assay- and cohort-specific effects, with reductions in most settings but increases for Lilly-MSD and Janssen-Simoa. Double cutoff strategies should be applied with attention to assay platform and cohort context. Accuracy gains were modest, but clinical utility lies in reducing misclassification costs and guiding confirmatory PET use.

    2026Alzheimer's Research & Therapy(2026)引用:1
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    合作机构(100)

    亚利桑那大学合作论文 418
    首尔大学合作论文 201
    延世大学合作论文 188
    成均馆大学合作论文 157
    朝鲜大学校合作论文 124
    韩国天主教大学合作论文 108
    蔚山大学合作论文 98
    Asan 医疗中心合作论文 97
    首尔国立大学医院合作论文 73
    韩瑞大学合作论文 71

    机构统计