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Penn State Clinical and Translational Science Institute

Penn State Clinical and Translational Science Institute
宾夕法尼亚州立大学临床与转化科学研究所
批准号:
10670917
负责人:
Jennifer L. Kraschnewski
金额:
$379.54万
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
未结题
起止时间:
2016-09-15 至 2026-06-30

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PROJECT SUMMARY ABSTRACT - OVERALL The Penn State Clinical and Translational Science Institute (CTSI) was formed in 2007 to accelerate the impact of biomedical research on health. Penn State has almost $1 billion in research expenditures, and its College of Medicine (CoM) and Penn State Health system serve about 2.0 million people in largely rural regions of central PA. Penn State is the state's land-grant university, a research institution with a strong culture of interdisciplinary team science and a health system committed to the people and communities in our area. We have developed a growing outreach network and partnerships to better understand the communities' needs, address barriers to prevention and treatment, and test novel approaches to health concerns across the lifespan and translational spectrum. As a learning organization, we practice continuous evaluation and data-driven decision-making to achieve continuous quality improvement. Our vision is to be the cornerstone of CTS throughout Penn State and a leader in advancing rural CTS. A key component of our vision is that interdisciplinary teamwork and broad engagement of stakeholders is critical to success. Our specific aims are: Aim 1. Catalyze CTS by engaging researchers, providers and community partners. We will engage researchers and establish unique partnerships across and beyond Penn State. We will capitalize on vast sources of health-relevant data to inform novel approaches to health concerns and social and environmental implications, particularly as they relate to our rural population. We will integrate rural community engagement and collaboration through community activities, consultation services, workforce training, and pilot projects. Aim 2. Promote CTS through innovation and investigator-centered research infrastructure that accelerates protocol development and study completion while ensuring scientific rigor and reproducibility. CTSI provides expansive research support and services to conduct CTS research and clinical trials that meet the needs of the communities we serve. We will pursue the establishment of an academic Clinical Informatics Research Division at the CoM and promote integration with the sophisticated informatics capabilities across Penn State. These efforts will empower scientists across the University. Aim 3. Effectively share resources and expertise through collaboration with other CTSA Hubs and the Consortium. We are active members of the CTSA (Clinical and Translational Science Award) Consortium. We will increase our interactions, focusing on Hub collaborations germane to rural communities. Aim 4. Educate a new generation of health professionals and CTS scholars, and empower them to conduct funded, innovative and interdisciplinary research. The Institute will be the focal point for the training of a diverse and expanding CTS workforce of scholars and professionals across Penn State, the CTSA Consortium and our new partnerships.
期刊论文(615)
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会议论文
Randomized controlled trial comparing operative times between standard and robot-assisted laparoscopic hysterectomy.
比较标准腹腔镜子宫切除术和机器人辅助腹腔镜子宫切除术的手术时间的随机对照试验。
DOI: 10.1002/ijgo.12001
发表时间: 2017-01
期刊: International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
影响因子: --
作者: [Deimling TA, Eldridge JL, Riley KA, Kunselman AR, Harkins GJ]
通讯作者: Harkins GJ
DOI: 10.1177/17455057231211094
发表时间: 2023-01
期刊: WOMENS HEALTH
影响因子: 2.4
作者: [Endres, Kodi, Razavi, Nina, Tian, Zizhong, Zhou, Shouhao, Krawiec, Conrad, Jasani, Sona]
通讯作者: Jasani, Sona
DOI: 10.1177/08901171231204473
发表时间: 2024-01
期刊: AMERICAN JOURNAL OF HEALTH PROMOTION
影响因子: 2.7
作者: [Pattison, Krista L., Lehman, Erik, Molinari, Alissa, Costigan, Heather, Pileggi, Francesca, Stuckey, Heather, Sekhar, Deepa L.]
通讯作者: Sekhar, Deepa L.
iScore: An MPI supported software for ranking protein–protein docking models based on a random walk graph kernel and support vector machines
iScore:一款 MPI 支持的软件,用于基于随机游走图内核和支持向量机对蛋白质对接模型进行排名
DOI: 10.1016/j.softx.2020.100462
发表时间: 2020
期刊: SoftwareX
影响因子: 3.4
作者: [Renaud, Nicolas, Jung, Yong, Honavar, Vasant, Geng, Cunliang, Bonvin, Alexandre M.J.J., Xue, Li C.]
通讯作者: Xue, Li C.
394
    Penn State Clinical and Translational Science Institute
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