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

项目总结/摘要 现代生物医学科学和医学，具有大量多样和复杂的数据集，需要一个 教育模式的范式转变，以培养下一代科学家和医生 能够执行和解释计算分析。目前的教育模式有 在计算数据科学家和以疾病为导向的 生理学家该建议的具体目标是建立一种创新的教育模式， 促进计算技能的培训，以便立即和直接应用于研究 经验和创造下一代生物医学科学家领导新的发现， 糖尿病、消化和肾脏疾病的研究。马约诊所研究教育 计算自主神经生物学计划是一个独特的新计划，旨在确保 对计算科学和疾病导向生理学的基础理解， 学习直接应用于指导数据的计算方法的实用技能 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，住院医师和临床研究员，从现有的广泛招募 教育，培训和研究计划，通过国际声誉和生产力的 高度投入的参与教师。该计划利用机构资源， 管理和强大的计划评估，以保持适应和响应的需要， 参与者该计划的短期目标是：1）提供基础知识， 生理学和计算科学; 2）提供使用创造和传播的实用技能 3）提供一个研究环境，以丰富技能磨练， 生产力该方案的长期目标是：4）扩大使用和获得 计算分析，以影响糖尿病，消化和肾脏疾病为导向的研究;以及5） 吸引和留住影响糖尿病、消化系统和肾脏疾病领域的不同科学家- 导向研究。通过完成该计划，我们预计这些科学家将形成一个桥梁， 在了解人类健康的生理学和计算方法之间， 并形成了一代影响糖尿病，消化和肾脏领域的多元化科学家 疾病

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.