New courses in Health Sciences and Technology from MIT OpenCourseWare, provider of free and open MIT course materials. https://ocw.mit.edu/courses/health-sciences-and-technology 2021-10-18T16:14:04+05:00 MIT OpenCourseWare https://ocw.mit.edu en-US Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm This course provides an introductory survey of data science tools in healthcare. It was created by members of MIT Critical Data, a global consortium consisting of healthcare practitioners, computer scientists, and engineers from academia, industry, and government, that seeks to place data and research at the front and center of healthcare operations.The most daunting global health issues right now are the result of interconnected crises. In this course, we highlight the importance of a multidisciplinary approach to health data science. It is intended for front-line clinicians and public health practitioners, as well as computer scientists, engineers, and social scientists, whose goal is to understand health and disease better using digital data captured in the process of care.What you'll learn:Principles of data science as applied to healthAnalysis of electronic health recordsArtificial intelligence and machine learning in healthcareThis course is part of the Open Learning Library, which is free to use. You have the option to sign up and enroll in the course if you want to track your progress, or you can view and use all the materials without enrolling.  https://ocw.mit.edu/courses/health-sciences-and-technology/hst-953-collaborative-data-science-for-healthcare-fall-2020 Fall 2020 Celi, Leo Agha-Mir-Salim, Louis Charpignon, Marie-Laure 2021-06-22T18:22:48+05:00 HST.953 en-US data science healthcare electronic health records AI in healthcare machine learning in healthcare data analysis MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm This course is a collaborative offering of Sana, Partners in Health, and the Institute for Healthcare Improvement (IHI). The goal of this course is the development of innovations in information systems for developing countries that will (1) translate into improvement in health outcomes, (2) strengthen the existing organizational infrastructure, and (3) create a collaborative ecosystem to maximize the value of these innovations. The course will be taught by guest speakers who are internationally recognized experts in the field and who, with their operational experiences, will outline the challenges they faced and detail how these were addressed.This OCW site combines resources from the initial Spring 2011 offering of the course (numbered HST.184) and the Spring 2012 offering (numbered HST.S14). https://ocw.mit.edu/courses/health-sciences-and-technology/hst-s14-health-information-systems-to-improve-quality-of-care-in-resource-poor-settings-spring-2012 Spring 2012 Celi, Leo Fraser, Hamish Szolovits, Peter Paik, Ken 2013-01-15T21:21:57+05:00 HST.S14 en-US MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm Analyzes computational needs of clinical medicine reviews systems and approaches that have been used to support those needs, and the relationship between clinical data and gene and protein measurements. Topics: the nature of clinical data; architecture and design of healthcare information systems; privacy and security issues; medical expertsystems; introduction to bioinformatics. Case studies and guest lectures describe contemporary systems and research projects. Term project using large clinical and genomic data sets integrates classroom topics. https://ocw.mit.edu/courses/health-sciences-and-technology/hst-950j-biomedical-computing-fall-2010 Fall 2010 Szolovits, Peter Alterovitz, Gil 2011-06-17T16:08:38+05:00 HST.950J 6.872 en-US HST.950J HST.950 6.872 medical informatics bioinformatics developing countries medical data clinical data probabilistic models graphical models information theory decision support expert systems personal health records bayesian networks bayesian models health information systems public health informatics predictive genomics patient data privacy MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm This class provides a space for medical students and MD/PhD students, as well as HASTS (History, Anthropology, Science, Technology, and Society) PhD students to discuss social and ethical issues in the biosciences and biotechnologies as they are being developed. Discussions are with course faculty and with leading figures in developing technologies such as George Daley or George Church in stem cell or genomics research, Bruce Walker or Pardis Sabeti in setting up laboratories in Africa, Paul Farmer and Partners in Health colleagues in building local support systems and first world quality care in Haiti, Peru, and Rwanda, and Amy Farber in building patient-centered therapeutic-outcome research for critical but "orphan" diseases. Goals include stimulating students to think about applying their learning in Boston to countries around the world, including using the experiences they have had in their home countries or research experience abroad. Goals also include a mix of patient-doctor care perspectives from medical anthropology, and moving upstream in the research chain to questions of how to move discoveries from basic research through the pipelines into clinical and bedside care. https://ocw.mit.edu/courses/health-sciences-and-technology/hst-934j-introduction-to-global-medicine-bioscience-technologies-disparities-strategies-spring-2010 Spring 2010 Fischer, Michael M.J. Good, Byron DelVecchio Good, Mary-Jo Jones, David 2010-12-08T18:43:53+05:00 HST.934J STS.449J en-US HST.934J HST.934 STS.449J STS.449 global health social medicine Partners in Health health reform cardiac therapeutics health disparities MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm This course is a survey of perceptual and cognitive aspects of the psychology of music, with special emphasis on underlying neuronal and neurocomputational representations and mechanisms. Basic perceptual dimensions of hearing (pitch, timbre, consonance/roughness, loudness, auditory grouping) form salient qualities, contrasts, patterns and streams that are used in music to convey melody, harmony, rhythm and separate voices. Perceptual, cognitive, and neurophysiological aspects of the temporal dimension of music (rhythm, timing, duration, temporal expectation) are explored. Special topics include comparative, evolutionary, and developmental psychology of music perception, biological vs. cultural influences, Gestaltist vs. associationist vs. schema-based theories, comparison of music and speech perception, parallels between music cognition and language, music and cortical action, and the neural basis of music performance. https://ocw.mit.edu/courses/health-sciences-and-technology/hst-725-music-perception-and-cognition-spring-2009 Spring 2009 Cariani, Peter 2010-06-28T18:44:03+05:00 HST.725 en-US music perception music cognition music memory pitch timbre consonance harmony tonality melody expressive timing rhythmic hierarchies auditory perception auditory pathway musical acoustics power spectra psychophysics neurocomputational models neural correlates music therapy synesthesia absolute pitch MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm This innovative, trans-faculty subject teaches how information technologies (IT) are reshaping and redefining the health care marketplace through improved economies of scale, greater technical efficiencies in the delivery of care to patients, advanced tools for patient education and self-care, network integrated decision support tools for clinicians, and the emergence of e-commerce in health care. Student tutorials provide an opportunity for interactive discussion. Interdisciplinary project teams comprised of Harvard and MIT graduate students in medicine, business, law, education, engineering, computer science, public health, and government collaborate to design innovative IT applications. Projects are presented during the final class.   Starting in Spring 2010, this course will be titled Enabling Technology Innovation in Healthcare and the Life Sciences. https://ocw.mit.edu/courses/health-sciences-and-technology/hst-921-information-technology-in-the-health-care-system-of-the-future-spring-2009 Spring 2009 Bergeron, Bryan Sands, Daniel Locke, Steven Bagur, Mirena 2010-06-04T19:17:00+05:00 HST.921 HST.922 en-US health care health care policy patient behavior information management medical informatics medical records health record online medicine PHR EHR patient privacy entrepreneurship start-up innovation cybermedicine telemedicine non-profit pharmaceutical insurance hospital doctor patient medicine social networking economies of scale patient education self-care network integration decision support tools disease managment health economics clinical effectiveness medical software mobile applications intellectual property MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm This team-taught multidisciplinary course provides information relevant to the conduct and interpretation of human brain mapping studies. It begins with in-depth coverage of the physics of image formation, mechanisms of image contrast, and the physiological basis for image signals. Parenchymal and cerebrovascular neuroanatomy and application of sophisticated structural analysis algorithms for segmentation and registration of functional data are discussed. Additional topics include: fMRI experimental design including block design, event related and exploratory data analysis methods, and building and applying statistical models for fMRI data; and human subject issues including informed consent, institutional review board requirements and safety in the high field environment. Additional Faculty Div Bolar Dr. Bradford Dickerson Dr. John Gabrieli Dr. Doug Greve Dr. Karl Helmer Dr. Dara Manoach Dr. Jason Mitchell Dr. Christopher Moore Dr. Vitaly Napadow Dr. Jon Polimeni Dr. Sonia Pujol Dr. Bruce Rosen Dr. Mert Sabuncu Dr. David Salat Dr. Robert Savoy Dr. David Somers Dr. A. Gregory Sorensen Dr. Christina Triantafyllou Dr. Wim Vanduffel Dr. Mark Vangel Dr. Lawrence Wald Dr. Susan Whitfield-Gabrieli Dr. Anastasia Yendiki https://ocw.mit.edu/courses/health-sciences-and-technology/hst-583-functional-magnetic-resonance-imaging-data-acquisition-and-analysis-fall-2008 Fall 2008 Gollub, Randy 2009-06-30T14:19:09+05:00 HST.583 en-US medical imaging medical lab medical technology magnetic resonance imaging MRI fMRI signal processing human brain mapping function image formation physics metabolism psychology physiology image signals image processing parenchymal cerebrovascular neuroanatomy neurology functional data analysis experimental design statistical models human subjects informed consent institutional review board requirements safety medical brain scan brain imaging DTI vision MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm Innovation in global health practice requires leaders who are trained to think and act like entrepreneurs. Whether at a hospital bedside or in a remote village, global healthcare leaders must understand both the business of running a social venture as well as how to plan for and provide access to life saving medicines and essential health services. Each week, the course features a lecture and skills-based tutorial session led by industry, non-profit foundation, technology, and academic leaders to think outside the box in tackling and solving problems in innovation for global health practice through the rationale design of technology and service solutions. The lectures provide the foundation for faculty-mentored pilot project from MOH, students, or non-profit sponsors that may involve creation of a market or business plan, product development, or a research study design. https://ocw.mit.edu/courses/health-sciences-and-technology/hst-939-designing-and-sustaining-technology-innovation-for-global-health-practice-spring-2008 Spring 2008 Blander, Jeffrey Demirci, Utkan 2009-01-30T20:24:01+05:00 HST.939 en-US global health developing countries third world Africa underserved population rural medicine health technology health ventures medical technology medical innovation entrepreneurship non-profit pharmaceutical design rapid diagnostic test systems design student projects field work mentor program interdisciplinary health economics disease management drug distribution MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm This course presents the fundamentals of digital signal processing with particular emphasis on problems in biomedical research and clinical medicine. It covers principles and algorithms for processing both deterministic and random signals. Topics include data acquisition, imaging, filtering, coding, feature extraction, and modeling. The focus of the course is a series of labs that provide practical experience in processing physiological data, with examples from cardiology, speech processing, and medical imaging. The labs are done in MATLAB® during weekly lab sessions that take place in an electronic classroom. Lectures cover signal processing topics relevant to the lab exercises, as well as background on the biological signals processed in the labs. https://ocw.mit.edu/courses/health-sciences-and-technology/hst-582j-biomedical-signal-and-image-processing-spring-2007 Spring 2007 Clifford, Gari Fisher, John Greenberg, Julie Wells, William 2008-10-30T14:18:22+05:00 HST.582J 6.555J 16.456J en-US HST.582J HST.582 6.555J 6.555 16.456J 16.456 signal processing medicine biological signal diagnosis diagnostic tool physiology cardiology speech recognition speech processing imaging medical imaging MRI ultrasound ECG electrocardiogram fourier FFT applications of probabilitym noise MATLAB digital filter DSP MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm This course provides a foundation for understanding the relationship between molecular biology, developmental biology, genetics, genomics, bioinformatics, and medicine. It develops explicit connections between basic research, medical understanding, and the perspective of patients. Principles of human genetics are reviewed. We translate clinical understanding into analysis at the level of the gene, chromosome and molecule; we cover the concepts and techniques of molecular biology and genomics, and the strategies and methods of genetic analysis, including an introduction to bioinformatics. Material in the course extends beyond basic principles to current research activity in human genetics. https://ocw.mit.edu/courses/health-sciences-and-technology/hst-161-molecular-biology-and-genetics-in-modern-medicine-fall-2007 Fall 2007 Housman, David Giersch, Anne 2008-06-16T14:22:01+05:00 HST.161 en-US Genetics genes genetic disorders inborn error muscular dystrophy PKU phenylketoneuria cancer tumors gene therapy disease birth defects chromosomes leukemia RNAi hemophilia thalassemia deafness mutations hypertrophic cardiomyopathy epigenetics rett syndrome prenatal diagnosis LOD scores gene linkage mitochondrial disorders degenerative disorders complex traits Mendelian inheritance MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm This course is a project-based introduction to manipulating and characterizing cells and biological molecules using microfabricated tools. It is designed for first year undergraduate students. In the first half of the term, students perform laboratory exercises designed to introduce (1) the design, manufacture, and use of microfluidic channels, (2) techniques for sorting and manipulating cells and biomolecules, and (3) making quantitative measurements using optical detection and fluorescent labeling. In the second half of the term, students work in small groups to design and test a microfluidic device to solve a real-world problem of their choosing. Includes exercises in written and oral communication and team building. https://ocw.mit.edu/courses/health-sciences-and-technology/hst-410j-projects-in-microscale-engineering-for-the-life-sciences-spring-2007 Spring 2007 Freeman, Dennis Gray, Martha Aranyosi, Alexander 2007-11-27T04:24:07+05:00 HST.410J 6.07J en-US HST.410J HST.410 6.07J 6.07 cell manipulation microchips lithography rapid prototyping optical imaging of cells cell sorting microfluidics osmosis diffusion microfabrication models of diffusion laminar flow MATLAB data analysis cell traps experimental design cytometry techniques computer simulation of neural behavior casting PDMS coulter counter plasma bonding MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm This eight-session course, designed for a mixed group of first, second, third and fourth-year medical students, uses literary narratives and poetry to study ethical issues in medicine. This methodology emphasizes the importance of context, contingency, and circumstances in recognizing, evaluating, and resolving moral problems. The seminar will focus on developing the skills of critical and reflective reading that increase effectiveness in clinical medicine. Texts will include short fiction and poetry by authors such as Woolf, Chekhov, Carver, Kafka, Hurston, Marquez and Tolstoy. The instructor will provide necessary philosophic and literary context at the beginning of each session, the balance devoted to class discussion. During the course, students will keep a reading journal that examines the meanings of illness, the moral role of the physician, and the relevance of emotions, culture, faith, values, social realities, and life histories to patient care. https://ocw.mit.edu/courses/health-sciences-and-technology/hst-935-narrative-ethics-literary-texts-and-moral-issues-in-medicine-january-iap-2007 January IAP 2007 Montello, Martha 2007-05-25T04:30:52+05:00 HST.935 en-US MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm This course consists of a series of seminars focused on the development of professional skills. Each semester focuses on a different topic, resulting in a repeating cycle that covers medical ethics, responsible conduct of research, written and oral technical communication, and translational issues. Material and activities include guest lectures, case studies, interactive small group discussions, and role-playing simulations. https://ocw.mit.edu/courses/health-sciences-and-technology/hst-590-biomedical-engineering-seminar-series-developing-professional-skills-fall-2006 Fall 2006 Poe, Mya 2007-05-17T05:35:23+05:00 HST.590 en-US MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm Tumor pathophysiology plays a central role in the growth, invasion, metastasis and treatment of solid tumors. This class applies principles of transport phenomena to develop a systems-level, quantitative understanding of angiogenesis, blood flow and microcirculation, metabolism and microenvironment, transport and binding of small and large molecules, movement of cancer and immune cells, metastatic process, and treatment response. Additional Faculty Dr. Pat D'Amore Dr. Dan Duda Dr. Robert Langer Prof. Robert Weinberg Dr. Marsha Moses Dr. Raghu Kalluri Dr. Lance Munn https://ocw.mit.edu/courses/health-sciences-and-technology/hst-525j-tumor-pathophysiology-and-transport-phenomena-fall-2005 Fall 2005 Jain, Rakesh 2006-11-07T19:22:16+05:00 HST.525J 10.548J en-US HST.525J HST.525 10.548J 10.548 tumor cancer tumor vasculature antiangiogenesis bone marrow-derived stem cells BMDC stem cell research experimental cancer therapy cancer research tumor-host interactions vascular normalization vascular transport interstitial transport lymphatic transport microcirculation molecular therapeutics blood vessels angiogenesis drug delivery intravital microscopy MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm This course covers the growth, development and structure of normal bone and joints, the biomechanics of bone connective tissues, and their response to stress, calcium and phosphate homeostasis. Additional topics include regulation by parathyroid hormone and vitamin D, the pathogenesis of metabolic bone diseases and diseases of connective tissues, joints and muscle with consideration of possible mechanisms and underlying metabolic derangements. Lecturers Dr. Paul Joseph Anderson Dr. Robert Horatio Brown, Jr. Dr. Marie Demay Dr. Stephen Martin Krane Dr. Young-Jo Kim Dr. Henry Jay Mankin Dr. Bjorn Reino Olsen Dr. John Thomas Potts Dr. Alan Lewis Schiller Dr. Brian Dale Snyder   https://ocw.mit.edu/courses/health-sciences-and-technology/hst-021-musculoskeletal-pathophysiology-january-iap-2006 January IAP 2006 Robinson, Dwight R. 2006-11-03T17:15:54+05:00 HST.021 en-US musculoskeletal bone joints connective tissue biomechanics muscle metabolic bone diseases calcium homeostasis phosphate homeostasis mineralization MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm This course is an introduction to basic NMR theory. Examples of biochemical data obtained using NMR are summarized along with other related experiments. Students participate in detailed study of NMR imaging techniques, including discussions of basic cross-sectional image reconstruction, image contrast, flow and real-time imaging, and hardware design considerations. Exposure to laboratory NMR spectroscopic and imaging equipment is included. https://ocw.mit.edu/courses/health-sciences-and-technology/hst-584j-magnetic-resonance-analytic-biochemical-and-imaging-techniques-spring-2006 Spring 2006 Rosen, Bruce Wald, Lawrence 2006-10-13T18:24:11+05:00 HST.584J 22.561J en-US HST.584J HST.584 22.561 22.561J MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm This course explores the theory and practice of scientific modeling in the context of auditory and speech biophysics. Based on seminar-style discussions of the research literature, the class draws on examples from hearing and speech, and explores general, meta-theoretical issues that transcend the particular subject matter. Examples include: What is a model? What is the process of model building? What are the different approaches to modeling? What is the relationship between theory and experiment? How are models tested? What constitutes a good model? https://ocw.mit.edu/courses/health-sciences-and-technology/hst-750-modeling-issues-in-speech-and-hearing-spring-2006 Spring 2006 Shera, Christopher Melcher, Jennifer R. 2006-10-13T18:10:29+05:00 HST.750 en-US hearing speech modeling biology network model of the ear model building dimensional analysis and scaling resampling monte carlo forward vs. inverse chaos limits of prediction hodgkin huxley molecular mathematic biology cochlear input impedance auditory network auditory morphology electric model of neural cell fiber electric diagrams of neural cells linear regression sensitivity analysis cochlea inner ear middle ear auditory cortex scientific literature analysis paper analysis tent maps quadratic maps MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm This course provides a foundation in the following four areas: evolutionary and population genetics; comparative genomics; structural genomics and proteomics; and functional genomics and regulation. https://ocw.mit.edu/courses/health-sciences-and-technology/hst-508-quantitative-genomics-fall-2005 Fall 2005 Kohane, Isaac Mirny, Leonid Berwick, Robert Kho, Alvin 2006-05-03T18:07:07+05:00 HST.508 en-US genomics quantitative genomics comparative genomics genes genome SNPs haplotypes sequence alignment protein structure protein folding proteomics structural genomics functional genomics networks systems biology biological networks RNA DNA gene expression evolutionary genetics population genetics MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm This course will focus on understanding aspects of modern technology displaying exponential growth curves and the impact on global quality of life through a weekly updated class project integrating knowledge and providing practical tools for political and business decision-making concerning new aspects of bioengineering, personalized medicine, genetically modified organisms, and stem cells. Interplays of economic, ethical, ecological, and biophysical modeling will be explored through multi-disciplinary teams of students, and individual brief reports. https://ocw.mit.edu/courses/health-sciences-and-technology/hst-510-genomics-computing-economics-and-society-fall-2005 Fall 2005 Church, George Zucker, Jeremy Douglas, Shawn Wait, Alexander 2006-04-26T18:18:30+05:00 HST.510 en-US genomics bioengineering biological engineering personalized medicine informatics bioinformatics human genome stem cells genetically modified organisms biophysics bioethics society bioeconomics statistics modeling datamining systems biology technology development biotechnology public policy health policy business economics MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm The course will span modern neuroscience from molecular neurobiology to perception and cognition, including the following major topics: anatomy and development of the brain; cell biology of neurons and glia; ion channels and electrical signaling; synaptic transmission, integration, and chemical systems of the brain; sensory systems, from transduction to perception; motor systems; and higher brain functions dealing with memory, language, and affective disorders. https://ocw.mit.edu/courses/health-sciences-and-technology/hst-131-introduction-to-neuroscience-fall-2005 Fall 2005 Corey, David 2006-04-26T04:45:27+05:00 HST.131 en-US MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm