Pub Date : 1969-01-01DOI: 10.4018/978-1-5225-3158-6
Richard Carson, Nicholas Christakis, A. Levchenko, Evan Morris, L. Niklason, X. Papademetris, M. Saltzman, Martin Schwartz, Frederick Sigworth, Lawrence Staib, Hemant Tagare, K. Miller-Jensen
development of new and Biological systems make sophisticated decisions at many levels. This course explores the molecular and computational underpinnings of how these decisions are made, with a focus on modeling static and dynamic processes in example biological systems. This course is aimed at biology students and teaches the analytic and computational methods needed to model genetic networks and protein signaling pathways. Students present and discuss original papers in class. They learn to model using MatLab in a series of in-class hackathons that illustrate the biological examples discussed in the lectures. Biological systems and processes that are modeled include: (i) gene expression, including the kinetics of RNA and protein synthesis and degradation; (ii) activators and repressors; (iii) the lysogeny/lysis switch of lambda phage; (iv) network motifs and how they shape response dynamics; (v) cell signaling, MAP kinase networks and cell fate decisions; and (vi) noise in gene expression. Prerequisites: MATH 115 or 116. BIOL 101-104, or with permission of instructors. This course also benefits students who have taken more advanced biology courses (e.g. MCDB 200, MCDB 310, MB&B 300/301). QR , SC 0 Course cr 249b, Introduction Computational and mathematical tools used in biomedical engineering the simulation biological systems the analysis of biomedical data. Basics of computational programming in MATLAB; applications to modeling, design, statistical and data analysis. Prerequisite: 151. Study of past successes and future needs of the multidisciplinary field of biomedical engineering. Areas of focus include: biomolecular engineering, including drug delivery and regenerative medicine; biomechanics, including mechanobiology and multiscale modeling; biomedical and sensing, image construction and analysis; Principles and methods used to represent, model, and process signals and images arising from biomedical sources. Topics include continuous and discrete linear systems analysis, Fourier analysis and frequency response, metrics for signal similarity, and noise filtering. Biomedical examples range from one-dimensional electrical signals in nerves and muscles to two-dimensional images of organs and cells. Prerequisite: MATH 120 or ENAS 151. BENG 249, 350, and ENAS 194 strongly recommended. QR BENG 353a / PHYS 353a, Introduction to Biomechanics Michael Murrell An introduction to the biomechanics used in biosolid mechanics, biofluid mechanics, biothermomechanics, and biochemomechanics. Diverse aspects of biomedical engineering, from basic mechanobiology to the design of novel biomaterials, medical devices, and surgical interventions. Prerequisites: PHYS 180, 181, MATH 115, Introduction to laboratory techniques and tools used in biomedical engineering for physiological measurement. Topics include bioelectric measurement, signal processing, and bone mechanics. Enrollment limited to majors in Biomedical Engineering, except BENG introducing laboratory technique
新生物系统的发展在许多层面上做出复杂的决定。本课程探讨了如何做出这些决定的分子和计算基础，重点是在示例生物系统中建模静态和动态过程。本课程针对生物学学生，教授建模遗传网络和蛋白质信号通路所需的分析和计算方法。学生在课堂上展示和讨论原创论文。他们在一系列的课堂黑客马拉松中学习使用MatLab建模，这些黑客马拉松演示了讲座中讨论的生物示例。建模的生物系统和过程包括:(i)基因表达，包括RNA和蛋白质合成和降解的动力学;(ii)激活剂和抑制剂;(iii) λ噬菌体的溶原/裂解开关;(iv)网络基序及其如何塑造反应动态;(v)细胞信号、MAP激酶网络和细胞命运决定;(六)基因表达中的噪声。先决条件:数学115或116。BIOL 101-104，或经教师许可。本课程也适用于修过高级生物课程(如MCDB 200, MCDB 310, mb&b300 /301)的学生。生物医学工程中使用的计算和数学工具，模拟生物系统，生物医学数据分析。MATLAB计算编程基础;应用于建模，设计，统计和数据分析。先决条件:151。研究生物医学工程多学科领域过去的成功和未来的需求。重点领域包括:生物分子工程，包括药物输送和再生医学;生物力学，包括力学生物学和多尺度建模;生物医学与传感、图像构建与分析;用于表示、建模和处理来自生物医学来源的信号和图像的原理和方法。主题包括连续和离散线性系统分析，傅里叶分析和频率响应，信号相似度度量和噪声滤波。生物医学上的例子包括从神经和肌肉中的一维电信号到器官和细胞的二维图像。先决条件:数学120或ENAS 151。强烈推荐使用ben249,350和ENAS 194。QR BENG 353a / PHYS 353a, Introduction to Biomechanics Michael Murrell介绍生物力学在生物固体力学、生物流体力学、生物热力学和生物化学力学中的应用。生物医学工程的各个方面，从基本的机械生物学到新型生物材料、医疗设备和外科干预的设计。先决条件:物理180,181，数学115，介绍实验室技术和用于生物医学工程的生理测量工具。主题包括生物电测量、信号处理和骨骼力学。除本专业介绍生物医学工程的实验室技术和工具外，仅限生物医学工程专业招生。主题包括生物材料和细胞相互作用，磁共振波谱和成像，图像处理和机器学习。利用荧光技术制备微纳米结构。微流体系统中的流体力学、电动力学和分子传输。用于实验室医学和护理点的集成生物传感器和微型tas。高含量技术，包括用于鉴别诊断和疾病分层的DNA、蛋白质微阵列和基于细胞的检测。用于系统医学的新兴纳米生物技术。先决条件:与生物系统动态过程相关的主题。细胞在调节和实验细胞中计算、计数、振荡和产生空间-时间依赖动力学的过程，这些过程是感觉细胞到细胞的基础，是几种主要神经成像方法(包括功能磁共振成像)的神经能量和神经化学基础。不同方法的技术方面，结果的解释，以及关于应用的争议或挑战
{"title":"Biomedical engineering.","authors":"Richard Carson, Nicholas Christakis, A. Levchenko, Evan Morris, L. Niklason, X. Papademetris, M. Saltzman, Martin Schwartz, Frederick Sigworth, Lawrence Staib, Hemant Tagare, K. Miller-Jensen","doi":"10.4018/978-1-5225-3158-6","DOIUrl":"https://doi.org/10.4018/978-1-5225-3158-6","url":null,"abstract":"development of new and Biological systems make sophisticated decisions at many levels. This course explores the molecular and computational underpinnings of how these decisions are made, with a focus on modeling static and dynamic processes in example biological systems. This course is aimed at biology students and teaches the analytic and computational methods needed to model genetic networks and protein signaling pathways. Students present and discuss original papers in class. They learn to model using MatLab in a series of in-class hackathons that illustrate the biological examples discussed in the lectures. Biological systems and processes that are modeled include: (i) gene expression, including the kinetics of RNA and protein synthesis and degradation; (ii) activators and repressors; (iii) the lysogeny/lysis switch of lambda phage; (iv) network motifs and how they shape response dynamics; (v) cell signaling, MAP kinase networks and cell fate decisions; and (vi) noise in gene expression. Prerequisites: MATH 115 or 116. BIOL 101-104, or with permission of instructors. This course also benefits students who have taken more advanced biology courses (e.g. MCDB 200, MCDB 310, MB&B 300/301). QR , SC 0 Course cr 249b, Introduction Computational and mathematical tools used in biomedical engineering the simulation biological systems the analysis of biomedical data. Basics of computational programming in MATLAB; applications to modeling, design, statistical and data analysis. Prerequisite: 151. Study of past successes and future needs of the multidisciplinary field of biomedical engineering. Areas of focus include: biomolecular engineering, including drug delivery and regenerative medicine; biomechanics, including mechanobiology and multiscale modeling; biomedical and sensing, image construction and analysis; Principles and methods used to represent, model, and process signals and images arising from biomedical sources. Topics include continuous and discrete linear systems analysis, Fourier analysis and frequency response, metrics for signal similarity, and noise filtering. Biomedical examples range from one-dimensional electrical signals in nerves and muscles to two-dimensional images of organs and cells. Prerequisite: MATH 120 or ENAS 151. BENG 249, 350, and ENAS 194 strongly recommended. QR BENG 353a / PHYS 353a, Introduction to Biomechanics Michael Murrell An introduction to the biomechanics used in biosolid mechanics, biofluid mechanics, biothermomechanics, and biochemomechanics. Diverse aspects of biomedical engineering, from basic mechanobiology to the design of novel biomaterials, medical devices, and surgical interventions. Prerequisites: PHYS 180, 181, MATH 115, Introduction to laboratory techniques and tools used in biomedical engineering for physiological measurement. Topics include bioelectric measurement, signal processing, and bone mechanics. Enrollment limited to majors in Biomedical Engineering, except BENG introducing laboratory technique","PeriodicalId":78774,"journal":{"name":"The McGill dental review","volume":"32 1 1","pages":"7-12"},"PeriodicalIF":0.0,"publicationDate":"1969-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70433322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Case report: complete dentures for a 6 year old.","authors":"A Bowman","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":78774,"journal":{"name":"The McGill dental review","volume":"30 4","pages":"93-5"},"PeriodicalIF":0.0,"publicationDate":"1968-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"15342825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Proposed new dental facilities.","authors":"E S Haltrecht, A S Closner","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":78774,"journal":{"name":"The McGill dental review","volume":"30 4","pages":"83-5"},"PeriodicalIF":0.0,"publicationDate":"1968-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"16329634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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