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Results: 11 - 20 of 39 results for: BIOMEDIN
BIOMEDIN 215 Data Driven Medicine
The widespread adoption of electronic health records (EHRs) has created a new source of ¿big data¿¿namely, the record of routine clinical practice¿as a by-product of care. This graduate class will teach you how to use EHRs and other patient data to discover new clinical knowledge and improve healthcare. Upon completing this course, you should be able to: differentiate b.... More Description for BIOMEDIN 215
Terms: 2017-2018 Autumn | Units: 3 | Grading: Medical Option (Med-Ltr-CR/NC)
BIOMEDIN 216 Representations and Algorithms for Molecular Biology: Lectures
Lecture component of BIOMEDIN 214. One unit for medical and graduate students who attend lectures only; may be taken for 2 units with participation in limited assignments and final project. Lectures also available via internet. Prerequisite: familiarity with biology recommended.
Terms: 2017-2018 Autumn | Units: 1-2 | Grading: Medical Satisfactory/No Credit
Instructors: Altman, R. (PI)
BIOMEDIN 217 Translational Bioinformatics (BIOE 217, CS 275, GENE 217)
Computational methods for the translation of biomedical data into diagnostic, prognostic, and therapeutic applications in medicine. Topics: multi-scale omics data generation and analysis, utility and limitations of public biomedical resources, machine learning and data mining, issues and opportunities in drug discovery, and mobile/digital health solutions. Case studies and course project. Prerequi.... More Description for BIOMEDIN 217
Terms: 2017-2018 Winter | Units: 4 | Grading: Medical Option (Med-Ltr-CR/NC)
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. Computational methods for the translation of biomedical data into diagnostic, prognostic, and therapeutic applications in medicine. Topics: multi-scale omics data generation and analysis, utility and limitations of public biomedical resources, machine learni.... More Description for BIOMEDIN 218
Terms: 2017-2018 Winter | Units: 2 | Grading: Medical Option (Med-Ltr-CR/NC)
BIOMEDIN 219 Mathematical Models and Medical Decisions
Analytic methods for determining optimal diagnostic and therapeutic decisions with applications to the care of individual patients and the design of policies applied to patient populations. Topics include: utility theory and probability modeling, empirical methods for disease prevalence estimation, probability models for periodic processes, binary decision-making techniques, Markov models of dynam.... More Description for BIOMEDIN 219
Terms: 2017-2018 Winter | Units: 3 | Grading: Medical Option (Med-Ltr-CR/NC)
BIOMEDIN 224 Principles of Pharmacogenomics (GENE 224)
This course is an introduction to pharmacogenomics, including the relevant pharmacology, genomics, experimental methods (sequencing, expression, genotyping), data analysis methods and bioinformatics. The course reviews key gene classes (e.g., cytochromes, transporters) and key drugs (e.g., warfarin, clopidogrel, statins, cancer drugs) in the field. Resources for pharmacogenomics (e.g., PharmGKB,.... More Description for BIOMEDIN 224
Terms: 2017-2018 Spring 2017-2018 Summer 2017-2018 Autumn 2017-2018 Winter | Units: 3 | Grading: Medical Option (Med-Ltr-CR/NC)
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.... More Description for BIOMEDIN 225
Terms: 2017-2018 Autumn | Units: 2 | Grading: Medical Option (Med-Ltr-CR/NC)
BIOMEDIN 226 Digital Health Practicum in a Health Care Delivery System
Practical experience implementing clinical informatics solutions with a focus on digital health in one of the largest healthcare delivery systems in the United States. Individual meetings with senior clinical informatics leaders to discuss elements of successful projects. Implementation opportunities include supporting the use of electronic health records, engagement of patients and providers via .... More Description for BIOMEDIN 226
Terms: 2017-2018 Summer 2017-2018 Spring 2017-2018 Autumn 2017-2018 Winter | Units: 2-3 | Grading: Medical Option (Med-Ltr-CR/NC)
BIOMEDIN 227SI Computational Methods for the Modern Biologist
The explosion of high throughput biology has made it impossible for the modern medical or biology researcher to thrive without being familiar with handling and processing large biological datasets. In this course, we cover Bash scripting, Python programming, tabular data management and visualization, scientific notebooks, code testing, and version control, all applied to the analysis of genomic se.... More Description for BIOMEDIN 227SI
BIOMEDIN 233 Intermediate Biostatistics: Analysis of Discrete Data (HRP 261, STATS 261)
Methods for analyzing data from case-control and cross-sectional studies: the 2x2 table, chi-square test, Fisher's exact test, odds ratios, Mantel-Haenzel methods, stratification, tests for matched data, logistic regression, conditional logistic regression. Emphasis is on data analysis in SAS. Special topics: cross-fold validation and bootstrap inference.
Terms: 2017-2018 Winter | Units: 3 | Grading: Medical Option (Med-Ltr-CR/NC)
Instructors: Sainani, K. (PI)
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