<?xml version="1.0" encoding="utf-8"?><?xml-stylesheet title="XSL_formatting" type="text/xsl" href="../../style/rss10.xsl"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns="http://purl.org/rss/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/"><channel rdf:about="http://ocw.mit.edu/OcwWeb/Health-Sciences-and-Technology/index.htm"><title>MIT OpenCourseWare: New Courses in Health Sciences and Technology</title><description>New courses in Health Sciences and Technology</description><link>http://ocw.mit.edu/OcwWeb/Health-Sciences-and-Technology/index.htm</link><dc:date>2009-11-05</dc:date><dc:publisher>MIT OpenCourseWare http://ocw.mit.edu</dc:publisher><dc:language>en-US</dc:language><dc:rights>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 http://ocw.mit.edu/OcwWeb/web/terms/terms/index.htm</dc:rights><items><rdf:Seq><rdf:li rdf:resource="http://ocw.mit.edu/OcwWeb/Health-Sciences-and-Technology/HST-583Fall-2008/CourseHome/index.htm" /><rdf:li rdf:resource="HST-958JFall2008" /><rdf:li rdf:resource="http://ocw.mit.edu/OcwWeb/web/donate/invest/index.htm?utm_source=RSS" /></rdf:Seq></items></channel><item rdf:about="http://ocw.mit.edu/OcwWeb/Health-Sciences-and-Technology/HST-583Fall-2008/CourseHome/index.htm"><title>HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis (MIT)</title><description>Provides information relevant to the conduct and interpretation of human brain mapping studies. Provides 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. Human subject issues including informed consent, institutional review board requirements and safety in the high field environment are also presented. Probability, linear algebra, differential equations, and introductory or college-level subjects in neurobiology, physiology, and physics is required.</description><link>http://ocw.mit.edu/OcwWeb/Health-Sciences-and-Technology/HST-583Fall-2008/CourseHome/index.htm</link><dc:creator>Gollub, Randy</dc:creator><dc:creator>Moore, Christopher</dc:creator><dc:creator>Rosen, Bruce</dc:creator><dc:creator>Sorensen, A. Gregory</dc:creator><dc:creator>Yendiki, Anastasia</dc:creator><dc:creator>Whitfield-Gabrieli, Susan</dc:creator><dc:creator>Wald, Lawrence</dc:creator><dc:creator>Vangel, Mark</dc:creator><dc:creator>Triantafyllou, Christina</dc:creator><dc:creator>Savoy, Robert</dc:creator><dc:creator>Salat, David</dc:creator><dc:creator>Sabuncu, Mert</dc:creator><dc:creator>Rosen, Bruce</dc:creator><dc:creator>Pujol, Sonia</dc:creator><dc:creator>Greve, Douglas</dc:creator><dc:creator>Gabrieli, John</dc:creator><dc:creator>Dickerson, Bradford</dc:creator><dc:creator>Bolar, Divya</dc:creator><dc:date>2009-06-30T10:19:09-04:00</dc:date><dc:relation>HST.583</dc:relation><dc:language>en-US</dc:language><dc:subject>Health Sciences and Technology</dc:subject><dc:subject>Medical Informatics</dc:subject><dc:subject>vision</dc:subject><dc:subject>DTI</dc:subject><dc:subject>brain imaging</dc:subject><dc:subject>brain scan</dc:subject><dc:subject>medical</dc:subject><dc:subject>safety</dc:subject><dc:subject>institutional review board requirements</dc:subject><dc:subject>informed consent</dc:subject><dc:subject>human subjects</dc:subject><dc:subject>statistical models</dc:subject><dc:subject>experimental design</dc:subject><dc:subject>functional data analysis</dc:subject><dc:subject>neurology</dc:subject><dc:subject>cerebrovascular neuroanatomy</dc:subject><dc:subject>parenchymal</dc:subject><dc:subject>image processing</dc:subject><dc:subject>image signals</dc:subject><dc:subject>physiology</dc:subject><dc:subject>psychology</dc:subject><dc:subject>metabolism</dc:subject><dc:subject>image formation physics</dc:subject><dc:subject>function</dc:subject><dc:subject>human brain mapping</dc:subject><dc:subject>signal processing</dc:subject><dc:subject>fMRI</dc:subject><dc:subject>MRI</dc:subject><dc:subject>magnetic resonance imaging</dc:subject><dc:subject>medical technology</dc:subject><dc:subject>medical lab</dc:subject><dc:subject>medical imaging</dc:subject><dc:publisher>MIT OpenCourseWare http://ocw.mit.edu</dc:publisher><dc:rights>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 http://ocw.mit.edu/OcwWeb/web/terms/terms/index.htm</dc:rights></item><item rdf:about="HST-958JFall2008"><title>HST.958J Biomedical Information Technology (MIT)</title><description>This course teaches the design of contemporary information systems for biological and medical data. Examples are chosen from biology and medicine to illustrate complete life cycle information systems, beginning with data acquisition, following to data storage and finally to retrieval and analysis. Design of appropriate databases, client-server strategies, data interchange protocols, and computational modeling architectures. Students are expected to have some familiarity with scientific application software and a basic understanding of at least one contemporary programming language (e.g. C, C++, Java, Lisp, Perl, Python). A major term project is required of all students. This subject is open to motivated seniors having a strong interest in biomedical engineering and information system design with the ability to carry out a significant independent project.</description><link>http://ocw.mit.edu/OcwWeb/Biological-Engineering/20-453JFall-2008/CourseHome/index.htm</link><dc:creator>Dewey, C</dc:creator><dc:creator>Yu, Hanry</dc:creator><dc:creator>Bhowmick, Sourav</dc:creator><dc:date>2009-06-24T10:38:44-04:00</dc:date><dc:relation>20.453J</dc:relation><dc:relation>HST.958J</dc:relation><dc:relation>2.771J</dc:relation><dc:language>en-US</dc:language><dc:subject>Biological Engineering</dc:subject><dc:subject>Biochemistry/Biophysics and Molecular Biology</dc:subject><dc:subject>gene sequencing</dc:subject><dc:subject>pharmaceutical</dc:subject><dc:subject>drug target</dc:subject><dc:subject>drug discovery</dc:subject><dc:subject>drug development</dc:subject><dc:subject>ontologies</dc:subject><dc:subject>biological data</dc:subject><dc:subject>relational database</dc:subject><dc:subject>SQL</dc:subject><dc:subject>XML</dc:subject><dc:subject>pathway modeling</dc:subject><dc:subject>diagnosis</dc:subject><dc:subject>gel electrophoresis</dc:subject><dc:subject>microarray</dc:subject><dc:subject>clinical trial</dc:subject><dc:subject>clinical decision support</dc:subject><dc:subject>computational biology</dc:subject><dc:subject>bioinformatics</dc:subject><dc:subject>proteomics</dc:subject><dc:subject>genomics</dc:subject><dc:subject>ExperiBase</dc:subject><dc:subject>schema</dc:subject><dc:subject>database</dc:subject><dc:subject>BioHaystack</dc:subject><dc:subject>semantic web</dc:subject><dc:subject>CellML</dc:subject><dc:subject>SBML</dc:subject><dc:subject>SPARQL</dc:subject><dc:subject>OWL</dc:subject><dc:subject>RDF</dc:subject><dc:subject>DICOM</dc:subject><dc:subject>medical records</dc:subject><dc:subject>molecular biology</dc:subject><dc:subject>metadata</dc:subject><dc:subject>medical imaging</dc:subject><dc:subject>imaging</dc:subject><dc:subject>Mechanical Engineering</dc:subject><dc:subject>Health Sciences and Technology</dc:subject><dc:publisher>MIT OpenCourseWare http://ocw.mit.edu</dc:publisher><dc:rights>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 http://ocw.mit.edu/OcwWeb/web/terms/terms/index.htm</dc:rights></item><item rdf:about="http://ocw.mit.edu/OcwWeb/web/donate/invest/index.htm?utm_source=RSS"><title>Power a World of Change.</title><description>In these times of economic and environmental uncertainty, you may wonder how you can make a difference in the complex issues affecting your world. Knowledge truly is power, and OCW puts MIT’s world-class knowledge in the hands of individuals and organizations around the world seeking solutions to our most difficult challenges.  By supporting OCW, you support a world of change. Please donate today and help keep OCW going and growing.</description><link>http://ocw.mit.edu/OcwWeb/web/donate/invest/index.htm?utm_source=RSS</link><dc:creator>MIT OpenCourseWare</dc:creator><dc:date>2009-10-20T11:59:59-04:00</dc:date><dc:relation></dc:relation><dc:language>en-US</dc:language><dc:subject></dc:subject><dc:publisher>MIT OpenCourseWare http://ocw.mit.edu</dc:publisher><dc:rights>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 http://ocw.mit.edu/OcwWeb/web/terms/terms/index.htm</dc:rights></item></rdf:RDF>