Graduate Training in Systems Physiology & Analysis

描述（由申请人提供）： 该申请建议在系统生理学和分析中建立跨学科的研究生教育计划。拟议的教育计划是纽约州立大学石溪分校生物医学工程系生理学和生物物理学系以及系统和生物信息学小组的共同努力。教育目标是设计一个研究生课程，以培养具有现代系统生理学，数学建模和生物医学系统分析的物理，工程，化学或数学背景的新生。学生将被联合招聘到两个部门，并将分享一系列的核心课程。除了现有的细胞和分子生物学，人体生理学，实验设计和统计学课程，该课程将包括三个新的课程和两个最近建立的课程的修改： .生理系统的计算模型，一门新课程，重点是肾上皮运输，细胞信号和代谢底物运输。 .系统生理学实验技术，一门新课程，重点是从大鼠和小鼠身上获得心血管、神经、肾脏和代谢数据。 .高级综合生物学：糖尿病的病理生物学，一个新的课程，旨在汇集在从分子结构到整个动物的水平上探索这种复杂的全身性疾病时学到的概念，以及从数学建模到结构生物学的方法。 .实验设计和数据分析，一个现有的课程，重点是数据采集，信号处理和统计分析与基本的实验方法和技术，目前在生理研究中使用。本课程将进行修改。 .生物数据的时间序列建模，现有的课程，重点是心电图变异性，肾血流动力学，中枢呼吸节律的产生分析。本课程将进行修改。 自成立以来，生理学与生物物理学系已经成功地招募和培养了来自物理和工程科学的学生，教师拥有非常广泛的研究兴趣，跨越系统生理学和结构生物学。该部已制定了一项成功的少数民族征聘和培训方案。生物医学工程的系统和生物信息学小组聘请了一批令人印象深刻的热情的年轻教师，他们的研究具有强大的实验和工程组件。与药理科学和生理学与生物物理学系的糖尿病/代谢研究专业知识一起，这些部分将创建一个创新的研究生课程，以培养定量系统生理学家和生物医学工程师，以解决代谢，糖尿病，心血管和肾脏研究中的研究问题。

DESCRIPTION (provided by applicant): The application proposes to establish an interdisciplinary graduate education program in Systems Physiology and Analysis. The proposed educational program is a joint effort of the Department of Physiology and Biophysics and the Systems and Bioinformatics Group of the Department of Biomedical Engineering at the State University of New York at Stony Brook. The educational goals are to design a graduate curriculum to train incoming students with backgrounds in physics, engineering, chemistry or mathematics in modern systems physiology, mathematical modeling, and biomedical systems analysis. Students would be jointly recruited into both Departments, and would share a series of core courses. In addition to existing courses on cellular and molecular biology, human physiology, and experimental design and statistics, the curriculum will include a three new courses and modifications of two recently established courses: . Computational Models of Physiological Systems, a new course with emphasis on renal epithelial transport, cell signaling, and metabolic substrate transport. . Experimental Techniques in System Physiology, a new course with emphasis on obtaining cardiovascular, neural, renal, and metabolic data from rats and mice. . Advanced Integrative Biology: The Pathobiology of Diabetes, a new course designed to bring together the concepts learned in an exploration of this complex systemic disease at levels ranging from molecular structure to the whole animal, and approaches ranging from mathematical modeling to structural biology. . Experimental Design and Data Analysis, an existing course with emphasis on data acquisition, signal processing, and statistical analyses associated with the basic experimental approaches and techniques currently used in physiological research. This course will be modified. . Time-Series-Based Modeling of Biological Data, an existing course with emphasis on the analysis of ECG variability, renal hemodynamics, central respiratory rhythm generation. This course will be modified. Since its inception, the Department of Physiology & Biophysics has successfully recruited and trained students from the physical and engineering sciences, and the faculty has an exceptionally wide range of research interests, spanning systems physiology and structural biology. The department has instituted a successful program in minority recruitment and training. The Systems and Bioinformatics Group in Biomedical Engineering has hired an impressive group of enthusiastic young faculty with strong experimental and engineering components to their research. Together with the expertise in diabetes/metabolism research in the Departments of Pharmacological Sciences and Physiology & Biophysics, the parts are in place to create an innovative graduate curriculum to train quantitative system physiologists and biomedical engineers to address research issues in metabolic, diabetes, cardiovascular, and renal research .