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61 - 70 of 561 results for: Medicine

BIOMEDIN 207: Digital Medicine: How health IT is changing the practice of medicine

The widespread use of health IT, such as electronic health records, and of health applications by patients, will radically alter the practice of medicine in the coming decades. This seminar, comprised of guest lectures from industry and academia, will highlight the practical challenges and successes of how health IT has transformed care delivery programs. The seminar will cover current efforts in clinical decision support, patient-centered design, integration with community care, Big Data, and the innovation pipeline for healthcare delivery organizations.
Terms: Sum | Units: 1
Instructors: Cain, C. (PI)

BIOMEDIN 215: Data Driven Medicine

With the spread of electronic health records and increasingly low cost assays for patient molecular data, powerful data repositories with tremendous potential for biomedical research, clinical care and personalized medicine are being built. But these databases are large and difficult for any one specialist to analyze. To find the hidden associations within the full set of data, we introduce methods for data-mining at the internet scale, the handling of large-scale electronic medical records data for machine learning, methods in natural language processing and text-mining applied to medical records, methods for using ontologies for the annotation and indexing of unstructured content as well as semantic web technologies. Prerequisites: CS 106A; familiarity with statistics and biology. Highly recommended: STATS 216. Recommended: one of CS 246, STATS 305, or CS 229.
Terms: Aut | Units: 3

BIOMEDIN 217: Translational Bioinformatics (CS 275)

Analytic, storage, and interpretive methods to optimize the transformation of genetic, genomic, and biological data into diagnostics and therapeutics for medicine. Topics: access and utility of publicly available data sources; types of genome-scale measurements in molecular biology and genomic medicine; analysis of microarray data; analysis of polymorphisms, proteomics, and protein interactions; linking genome-scale data to clinical data and phenotypes; and new questions in biomedicine using bioinformatics. Case studies. Prerequisites: programming ability at the level of CS 106A and familiarity with statistics and biology.
Terms: Win | Units: 4

BIOMEDIN 218: Translational Bioinformatics Lectures

Same content as BIOMEDIN 217; for medical and graduate students who attend lectures and participate in limited assignments and final project. Analytic, storage, and interpretive methods to optimize the transformation of genetic, genomic, and biological data into diagnostics and therapeutics for medicine. Topics: access and utility of publicly available data sources; types of genome-scale measurements in molecular biology and genomic medicine; analysis of microarray data; analysis of polymorphisms, proteomics, and protein interactions; linking genome-scale data to clinical data and phenotypes; and new questions in biomedicine using bioinformatics. Case studies. Prerequisites: programming at the level of CS 106A; familiarity with statistics and biology.
Terms: Win | Units: 2

BIOMEDIN 225: Data Driven Medicine: Lectures

Lectures for BIOMEDIN 215.With the spread of electronic health records and increasingly low cost assays for patient molecular data, powerful data repositories with tremendous potential for biomedical research, clinical care and personalized medicine are being built. But these databases are large and difficult for any one specialist to analyze. To find the hidden associations within the full set of data, we introduce methods for data-mining at the internet scale, the handling of large-scale electronic medical records data for machine learning, methods in natural language processing and text-mining applied to medical records, methods for using ontologies for the annotation and indexing of unstructured content as well as semantic web technologies. Prerequisites: familiarity with statistics ( STATS 202) and biology.
Terms: Aut | Units: 2

BIOMEDIN 260: Computational Methods for Biomedical Image Analysis and Interpretation (RAD 260)

The latest biological and medical imaging modalities and their applications in research and medicine. Focus is on computational analytic and interpretive approaches to optimize extraction and use of biological and clinical imaging data for diagnostic and therapeutic translational medical applications. Topics include major image databases, fundamental methods in image processing and quantitative extraction of image features, structured recording of image information including semantic features and ontologies, indexing, search and content-based image retrieval. Case studies include linking image data to genomic, phenotypic and clinical data, developing representations of image phenotypes for use in medical decision support and research applications and the role that biomedical imaging informatics plays in new questions in biomedical science. Includes a project. Enrollment for 3 units requires instructor consent. Prerequisites: programming ability at the level of CS 106A, familiarity with statistics, basic biology. Knowledge of Matlab highly recommended.
Terms: Spr | Units: 3-4
Instructors: Rubin, D. (PI)

BIOS 202: Hippocampal Field Potentials, an Introduction to CNS in Vitro Electrophysiology

Enrollment limited to graduate students in the School of Medicine; undergraduates may enroll with instructor consent. Introduces students to theory and practice of in vitro CNS electrophysiology. Lectures cover basic electrical and electrode theory, hippocampal anatomy, interpretation of these potentials, common pitfalls and misinterpretations, design of experiments using field potentials and other related topics. Practicum is hands on training in obtaining, recording and interpreting field potentials from in vitro hippocampal slices. Students develop skills in data collection, analysis and evaluation, art and design of electrophysiological studies of the brain.
Last offered: Winter 2013

BIOS 217: The Ultimate Face Book: Understanding Normal and Abnormal Craniofacial Development

How the face is assembled during embryonic development to gain insights into facial birth defects and new "regenerative medicine" approaches to reconstruct the face following disease or injury. Learn how "a man finds room in the few square inches of the face for the traits of all his ancestors; for the expression of all his history, and his wants."
Last offered: Winter 2013

BIOS 234: Personalized Genomic Medicine

Focuses on next-generation sequencing and its implications for personalized genomic medicine. Students gain hands-on experience with popular DNA sequence analysis tools as well as a practical understanding of the underlying algorithms and biomedicine.
Terms: Spr | Units: 1

CHEM 10: Exploring Research and Problem Solving Across the Sciences

Development and practice of critical problem solving and study skills using wide variety of scientific examples that illustrate the broad yet integrated nature of current research. Student teams will have the opportunity to explore and present on topics revolving around five central issues: energy, climate change, water resources, medicine, and food & nutrition from a chemical perspective. Course offered in August prior to start of fall quarter.
Terms: Aut | Units: 2
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