Clinical Neuroengineering Training Program
临床神经工程培训项目
基本信息
- 批准号:8642177
- 负责人:
- 金额:$ 17.8万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-04-01 至 2016-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
DESCRIPTION (provided by applicant): The goal of this Clinical Neuroengineering Training Program (CNTP) is to train a cohort of engineers and scientists with an interdisciplinary approach linking the traditional areas of biomedical engineering and physical science, neuroscience, and clinical practice. We have designed the CNTP around the premise that interdisciplinary research is a mode of research by teams or individuals that integrates information, data, techniques, tools, perspectives, concepts, and/or theories from two or more disciplines to advance fundamental understanding or to solve problems whose solutions are beyond the scope of a single discipline. Students conducting interdisciplinary research also benefit greatly from the guidance of mentors in the three disciplines represented on their dissertation committees. Co-mentoring allows students to have direct relationships with researchers in the different fields while synthesizing the training and advice to form their own skills and experiences for their future interdisciplinary research goals. One of our objectives in making the CNTP a successful training program is that the research conducted by CNTP trainees will have an impact on multiple fields or disciplines, and produce results that feed back into and enhance disciplinary research. It will also create students with an expanded research vocabulary and abilities in more than one discipline, and with an enhanced understanding of the interconnectedness inherent in complex problems. As the name, Clinical Neuroengineering implies, the foundation and driving force of our program is the Clinic. This emphasis on the Clinic is the common thread that ties together all aspects of our program: The research of our trainers is designed to answer clinical questions; the formal course plan for our trainees includes clinical rotations in the hospital, a course in medical ethics and another in public policy. This focus on clinical medicine is almost universally absent in graduate education. We believe this makes our Program distinctly different from any other department or training program in the country, and makes the educational experience for our trainees truly interdisciplinary.
PUBLIC HEALTH RELEVANCE: The next decade will see unprecedented opportunities as well as challenges for medical science. Biological knowledge and understanding is increasing at an exponential rate particularly as to human disease. At the same time, there is growing dissatisfaction on the part of U.S. citizens for what is perceived as lack of translation to direct human benefit. Further, delivering new treatments is becoming increasingly problematic because of the remarkable changes in health-care delivery. Insurers and government regulators are insisting on new and very different means of demonstrating efficacy, particularly as it relates to quality of life and cost-effectiveness. Indeed, Evidence Based Medicine has become a mantra of health care administrators and one that biomedical engineers must not only understand but also master. Consequently, the context in which the scientist and engineer must operate has expanded greatly and into areas not typically addressed by traditional curricula. Rather, interdisciplinary teams of engineers, physicians, clinicians, and scientists will be critical to future medical successes. This means that the scientist or engineer of the future must have more than a passing acquaintance with many disciplines. The engineer or scientist must be able to problem solve in a multi-dimensional context. They must be able to orchestrate different disciplines; recognizing where and when each individual discipline is appropriate and needed. The goal of this Clinical Neuroengineering Training Program (CNTP) is to train a cohort of engineers and scientists with an interdisciplinary approach linking the traditional areas of biomedical engineering and physical science, neuroscience, and clinical practice.
描述(由申请人提供):该临床神经工程培训计划(CNTP)的目标是通过跨学科方法培训一群工程师和科学家,将生物医学工程和物理科学,神经科学和临床实践的传统领域联系起来。我们已经设计了围绕前提的CNTP,即跨学科研究是团队或个人的一种研究方式,该研究将信息,数据,技术,工具,观点,概念,概念和/或理论整合到两个或多个学科的理论上,以提高基本理解或解决其解决方案超出单个学科范围的问题。进行跨学科研究的学生也从在论文委员会中代表的三个学科的指导中受益匪浅。授课使学生可以与不同领域的研究人员建立直接关系,同时综合培训和建议,以为未来的跨学科研究目标形成自己的技能和经验。我们使CNTP成为成功的培训计划的目标之一是,CNTP受训者进行的研究将对多个领域或学科产生影响,并产生结果,使纪律研究反馈并增强学科研究。它还将在多个学科中创造具有扩展的研究词汇和能力的学生,并增强对复杂问题固有的相互联系的理解。顾名思义,临床神经工程意味着,我们计划的基础和驱动力是诊所。对诊所的这种强调是将我们计划的各个方面联系在一起的共同点:我们的教练的研究旨在回答临床问题;我们受训人员的正式课程计划包括医院的临床轮换,医学伦理学课程以及公共政策的其他课程。在研究生教育中,这种对临床医学的关注几乎普遍不存在。我们认为,这使我们的计划与该国任何其他部门或培训计划明显不同,并为学员提供教育经验。
公共卫生相关性:接下来的十年将看到前所未有的机会以及医学科学的挑战。生物学知识和理解正在以指数级的速度增加,特别是关于人类疾病。同时,美国公民因缺乏直接人类利益的翻译而越来越不满。此外,由于医疗保健分娩的显着变化,提供新的治疗越来越有问题。保险公司和政府监管机构坚持使用新的和非常不同的表现功效手段,尤其是与生活质量和成本效益有关的情况。实际上,基于证据的医学已成为医疗保健管理人员的口头禅,生物医学工程师不仅必须理解,而且还必须掌握。因此,科学家和工程师必须运作的背景已大大扩展到通常由传统课程解决的领域。相反,工程师,医师,临床医生和科学家的跨学科团队对于未来的医疗成功至关重要。这意味着未来的科学家或工程师必须不仅仅是与许多学科的熟人。工程师或科学家必须能够在多维环境中解决问题。他们必须能够策划不同的学科。认识到每个单独的学科在何时何地适当且需要。该临床神经工程培训计划(CNTP)的目的是通过跨学科方法培训一群工程师和科学家,将生物医学工程和物理科学,神经科学和临床实践的传统领域联系起来。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

暂无数据
数据更新时间:2024-06-01
Mary E. Meyerand的其他基金
Clinical Neuroengineering Training Program
临床神经工程培训项目
- 批准号:80792328079232
- 财政年份:2011
- 资助金额:$ 17.8万$ 17.8万
- 项目类别:
Clinical Neuroengineering Training Program
临床神经工程培训项目
- 批准号:82457438245743
- 财政年份:2011
- 资助金额:$ 17.8万$ 17.8万
- 项目类别:
Clinical Neuroengineering Training Program
临床神经工程培训项目
- 批准号:88237768823776
- 财政年份:2011
- 资助金额:$ 17.8万$ 17.8万
- 项目类别:
Clinical Neuroengineering Training Program
临床神经工程培训项目
- 批准号:84514668451466
- 财政年份:2011
- 资助金额:$ 17.8万$ 17.8万
- 项目类别:
Validating Resting State fMRI Derived Brain Connectivity
验证静息状态 fMRI 衍生的大脑连接
- 批准号:78248717824871
- 财政年份:2009
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Validating Resting State fMRI Derived Brain Connectivity
验证静息状态 fMRI 衍生的大脑连接
- 批准号:79430527943052
- 财政年份:2009
- 资助金额:$ 17.8万$ 17.8万
- 项目类别:
Treatment Planning using Physiologic MRI Data
使用生理 MRI 数据制定治疗计划
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- 财政年份:2007
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Treatment Planning using Physiologic MRI Data
使用生理 MRI 数据制定治疗计划
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- 财政年份:2007
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- 批准号:80056328005632
- 财政年份:2007
- 资助金额:$ 17.8万$ 17.8万
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