Mayo Clinic Research Education Program in Computational Autonomic Neurobiology of Diabetes and Digestive and Kidney Diseases

梅奥诊所糖尿病、消化和肾脏疾病计算自主神经生物学研究教育项目

基本信息

批准号：
10709578
负责人：
David R. Linden
金额：
$ 12.96万
依托单位：
MAYO CLINIC ROCHESTER
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-09-30 至 2027-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10709578
关键词：
Address Biomedical Engineering Clinic Clinical Complex Computational Science Computer Analysis Computers Computing Methodologies Data Data Scientist Data Set Development Diabetes Mellitus Digestive System Disorders Disease Distant Education Educational Curriculum Educational Materials Educational Models Ensure Environment Faculty Funding Future Generations Health Human Institution International Investments Kidney Diseases Knowledge Laboratories Lead Learning Medical Medicine Mentors Methods Minnesota Modernization Neurobiology Participant Physicians Physiological Physiology Postdoctoral Fellow Productivity Program Evaluation Research Research Project Grants Resources Schools Science Scientist Training Training Programs biomedical scientist career complex data computational platform computerized tools design direct application education research experience graduate student innovation large datasets next generation open data patient engagement programs recruit skill acquisition skills skills training

项目摘要

Project Summary / Abstract Modern biomedical science and medicine, with large varied and complex datasets, requires a paradigm shift in our educational models to train the next generation of scientists and physicians capable of performing and interpreting computational analyses. Current educational models have created a critical gap of expertise between computational data scientists and disease-oriented physiologists. The Specific Aim of this proposal is to establish an innovative educational model to promote the training of computational skills for immediate and direct application to research experiences and create the next generation of biomedical scientists to lead new discoveries in diabetes, digestive and kidney disease-oriented research. The Mayo Clinic Research Education Program in Computational Autonomic Neurobiology is a unique new program designed to ensure foundational understanding of both computational science and disease-oriented physiology, prior to learning practical skills in computational methods that are directly applied to data from mentored research experiences. Participants in the program, including graduate students, post-doctoral fellows, biomedical engineers, medical residents, and clinical fellows, are recruited widely from existing educational, training and research programs via the international reputations and productivity of the highly invested participating faculty. The program leverages institutional resources for program administration and robust program evaluation to remain adaptive and responsive to the needs of participants. The short-term objectives of the program are to: 1) provide foundational knowledge in physiology and computational science; 2) provide practical skill in the use creation and dissemination of computational workflows; and 3) provide a research environment to enrich skill honing and productivity. The long-term objectives of the program are to: 4) expand the use and access of computational analyses to impact diabetes, digestive and kidney disease-oriented research; and 5) attract and retain diverse scientists that impact the fields of diabetes, digestive and kidney disease- oriented research. By completing the program, we anticipate these scientists will form a bridge between the often distant physiological and computational approaches to understand human health and form a generation of diverse scientists that impact the fields of diabetes, digestive and kidney diseases.

项目摘要 /摘要现代生物医学科学和医学，具有大量且复杂的数据集，需要一个我们的教育模型中的范式转变，以培训下一代科学家和医生能够执行和解释计算分析。当前的教育模型有在计算数据科学家和面向疾病的情况下创造了关键的专业知识差距生理学家。该提案的具体目的是建立一种创新的教育模型促进对计算技能的培训，以立即和直接应用研究体验并创建下一代生物医学科学家，以领导新发现糖尿病，消化和肾脏疾病的研究。梅奥诊所研究教育计算自主神经生物学计划是一个独特的新程序，旨在确保对计算科学和面向疾病的生理学的基本理解，在计算方法中学习实用技能，这些技能直接应用于指导的数据研究经验。该计划的参与者，包括研究生，博士后研究员，生物医学工程师，医疗居民和临床研究员被广泛招募教育，培训和研究计划通过国际声誉和生产力高度投资的参与教师。该计划利用机构资源进行计划管理和强大的计划评估，以保持自适应和响应参与者。该计划的短期目标是：1）在生理学和计算科学； 2）提供创建和传播的实用技能计算工作流程； 3）提供了一个研究环境，以丰富技能磨练和生产率。该程序的长期目标是：4）扩展和访问的使用和访问计算分析以影响糖尿病，消化和肾脏疾病的研究； 5）吸引并保留影响糖尿病，消化和肾脏疾病领域的多元化科学家 - 定向研究。通过完成该计划，我们预计这些科学家将形成一座桥梁在理解人类健康的经常遥远的生理和计算方法之间并形成一代不同的科学家，影响糖尿病，消化和肾脏领域疾病。