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BIOMEDIN 156: Economics of Health and Medical Care (BIOMEDIN 256, ECON 126, HRP 256)

Institutional, theoretical, and empirical analysis of the problems of health and medical care. Topics: demand for medical care and medical insurance; institutions in the health sector; economics of information applied to the market for health insurance and for health care; measurement and valuation of health; competition in health care delivery. Graduate students with research interests should take ECON 249. Prerequisites: ECON 50 and either ECON 102A or STATS 116 or the equivalent. Recommended: ECON 51.
Terms: Spr | Units: 5 | UG Reqs: WAY-SI | Grading: Medical Option (Med-Ltr-CR/NC)
Instructors: ; Bhattacharya, J. (PI)

BIOMEDIN 201: Biomedical Informatics Student Seminar

Participants report on recent articles from the Biomedical Informatics literature or their research projects. Goals are to teach critical reading of scientific papers and presentation skills. May be repeated three times for credit.
Terms: Aut, Win, Spr, Sum | Units: 1 | Repeatable for credit | Grading: Medical Satisfactory/No Credit

BIOMEDIN 212: Introduction to Biomedical Informatics Research Methodology (BIOE 212, CS 272, GENE 212)

Capstone Biomedical Informatics (BMI) experience. Hands-on software building. Student teams conceive, design, specify, implement, evaluate, and report on a software project in the domain of biomedicine. Creating written proposals, peer review, providing status reports, and preparing final reports. Issues related to research reproducibility. Guest lectures from professional biomedical informatics systems builders on issues related to the process of project management. Software engineering basics. Because the team projects start in the first week of class, attendance that week is strongly recommended. Prerequisites: BIOMEDIN 210 or 214 or 215 or 217 or 260. Preference to BMI graduate students. Consent of instructor required.
Terms: Spr | Units: 3-5 | 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, Drugbank, NCBI resources) are reviewed, as well as issues implementing pharmacogenomics testing in the clinical setting. Reading of key papers, including student presentations of this work; problem sets; final project selected with approval of instructor. Prerequisites: two of BIO 41, 42, 43, 44X, 44Y or consent of instructor.
Terms: Aut, Win, Spr, Sum | Units: 3 | 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 a personal health record, use of informatics to support patient service centers, and improvement of patient access to clinical data. Consent of course instructors required at least one quarter prior to student enrollment in course.
Terms: Aut, Win, Spr, Sum | Units: 2-3 | Grading: Medical Option (Med-Ltr-CR/NC)
Instructors: ; Musen, M. (PI); Chan, A. (SI)

BIOMEDIN 251: Outcomes Analysis (HRP 252, MED 252)

Methods of conducting empirical studies which use large existing medical, survey, and other databases to ask both clinical and policy questions. Econometric and statistical models used to conduct medical outcomes research. How research is conducted on medical and health economics questions when a randomized trial is impossible. Problem sets emphasize hands-on data analysis and application of methods, including re-analyses of well-known studies. Prerequisites: one or more courses in probability, and statistics or biostatistics.
Terms: Spr | Units: 4 | Grading: Medical Option (Med-Ltr-CR/NC)

BIOMEDIN 256: Economics of Health and Medical Care (BIOMEDIN 156, ECON 126, HRP 256)

Institutional, theoretical, and empirical analysis of the problems of health and medical care. Topics: demand for medical care and medical insurance; institutions in the health sector; economics of information applied to the market for health insurance and for health care; measurement and valuation of health; competition in health care delivery. Graduate students with research interests should take ECON 249. Prerequisites: ECON 50 and either ECON 102A or STATS 116 or the equivalent. Recommended: ECON 51.
Terms: Spr | Units: 5 | Grading: Medical Option (Med-Ltr-CR/NC)
Instructors: ; Bhattacharya, J. (PI)

BIOMEDIN 260: Computational Methods for Biomedical Image Analysis and Interpretation (CS 235, 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 or Python highly recommended.
Terms: Spr | Units: 3-4 | Grading: Medical Option (Med-Ltr-CR/NC)

BIOMEDIN 290: Biomedical Informatics Teaching Methods

Hands-on training in biomedical informatics pedagogy. Practical experience in pedagogical approaches, variously including didactic, inquiry, project, team, case, field, and/or problem-based approaches. Students create course content, including lectures, exercises, and assessments, and evaluate learning activities and outcomes. Prerequisite: instructor consent.
Terms: Aut, Win, Spr, Sum | Units: 1-6 | Repeatable for credit | Grading: Medical Option (Med-Ltr-CR/NC)
Instructors: ; Altman, R. (PI); Ashley, E. (PI); Bagley, S. (PI); Bassik, M. (PI); Batzoglou, S. (PI); Bayati, M. (PI); Bejerano, G. (PI); Bhattacharya, J. (PI); Blish, C. (PI); Boahen, K. (PI); Brandeau, M. (PI); Bustamante, C. (PI); Butte, A. (PI); Chang, H. (PI); Cherry, J. (PI); Cohen, S. (PI); Covert, M. (PI); Curtis, C. (PI); Das, A. (PI); Das, R. (PI); Davis, R. (PI); Delp, S. (PI); Desai, M. (PI); Dill, D. (PI); Dumontier, M. (PI); Elias, J. (PI); Fagan, L. (PI); Feldman, M. (PI); Ferrell, J. (PI); Fraser, H. (PI); Gambhir, S. (PI); Gerritsen, M. (PI); Gevaert, O. (PI); Goldstein, M. (PI); Greenleaf, W. (PI); Guibas, L. (PI); Hastie, T. (PI); Hlatky, M. (PI); Holmes, S. (PI); Ji, H. (PI); Karp, P. (PI); Khatri, P. (PI); Kim, S. (PI); Kirkegaard, K. (PI); Klein, T. (PI); Koller, D. (PI); Krummel, T. (PI); Kundaje, A. (PI); Levitt, M. (PI); Levitt, R. (PI); Li, J. (PI); Longhurst, C. (PI); Lowe, H. (PI); Mallick, P. (PI); Manning, C. (PI); McAdams, H. (PI); Menon, V. (PI); Montgomery, S. (PI); Musen, M. (PI); Napel, S. (PI); Nolan, G. (PI); Olshen, R. (PI); Owen, A. (PI); Owens, D. (PI); Paik, D. (PI); Palacios, J. (PI); Pande, V. (PI); Petrov, D. (PI); Plevritis, S. (PI); Poldrack, R. (PI); Pritchard, J. (PI); Relman, D. (PI); Riedel-Kruse, I. (PI); Rivas, M. (PI); Rubin, D. (PI); Sabatti, C. (PI); Salzman, J. (PI); Shachter, R. (PI); Shafer, R. (PI); Shah, N. (PI); Sherlock, G. (PI); Sidow, A. (PI); Snyder, M. (PI); Tang, H. (PI); Taylor, C. (PI); Theriot, J. (PI); Tibshirani, R. (PI); Utz, P. (PI); Walker, M. (PI); Wall, D. (PI); Winograd, T. (PI); Wong, W. (PI); Xing, L. (PI); Zou, J. (PI)

BIOMEDIN 299: Directed Reading and Research

For students wishing to receive credit for directed reading or research time. Prerequisite: consent of instructor. (Staff)
Terms: Aut, Win, Spr, Sum | Units: 1-18 | Repeatable for credit | Grading: Medical Option (Med-Ltr-CR/NC)
Instructors: ; Altman, R. (PI); Ashley, E. (PI); Bagley, S. (PI); Baiocchi, M. (PI); Bassik, M. (PI); Batzoglou, S. (PI); Bayati, M. (PI); Bejerano, G. (PI); Bhattacharya, J. (PI); Blish, C. (PI); Boahen, K. (PI); Brandeau, M. (PI); Brutlag, D. (PI); Bustamante, C. (PI); Butte, A. (PI); Chang, H. (PI); Chen, J. (PI); Cherry, J. (PI); Cohen, S. (PI); Covert, M. (PI); Curtis, C. (PI); Das, A. (PI); Das, R. (PI); Davis, R. (PI); Delp, S. (PI); Desai, M. (PI); Dill, D. (PI); Dror, R. (PI); Dumontier, M. (PI); Elias, J. (PI); Fagan, L. (PI); Feldman, M. (PI); Ferrell, J. (PI); Fraser, H. (PI); Gambhir, S. (PI); Gentles, A. (PI); Gerritsen, M. (PI); Gevaert, O. (PI); Goldstein, M. (PI); Greenleaf, W. (PI); Guibas, L. (PI); Hastie, T. (PI); Hernandez-Boussard, T. (PI); Hlatky, M. (PI); Holmes, S. (PI); Ji, H. (PI); Karp, P. (PI); Khatri, P. (PI); Kim, S. (PI); Kirkegaard, K. (PI); Klein, T. (PI); Koller, D. (PI); Krummel, T. (PI); Kundaje, A. (PI); Langlotz, C. (PI); Levitt, M. (PI); Li, J. (PI); Longhurst, C. (PI); Lowe, H. (PI); Mallick, P. (PI); Manning, C. (PI); McAdams, H. (PI); Menon, V. (PI); Montgomery, S. (PI); Musen, M. (PI); Napel, S. (PI); Nolan, G. (PI); Olshen, R. (PI); Owen, A. (PI); Owens, D. (PI); Paik, D. (PI); Palacios, J. (PI); Pande, V. (PI); Petrov, D. (PI); Plevritis, S. (PI); Poldrack, R. (PI); Pritchard, J. (PI); Relman, D. (PI); Riedel-Kruse, I. (PI); Rivas, M. (PI); Rubin, D. (PI); Sabatti, C. (PI); Salzman, J. (PI); Shachter, R. (PI); Shafer, R. (PI); Shah, N. (PI); Sherlock, G. (PI); Sidow, A. (PI); Snyder, M. (PI); Tang, H. (PI); Taylor, C. (PI); Theriot, J. (PI); Tibshirani, R. (PI); Tu, S. (PI); Utz, P. (PI); Walker, M. (PI); Wall, D. (PI); Winograd, T. (PI); Wong, W. (PI); Xing, L. (PI); Zou, J. (PI)

BIOMEDIN 370: Medical Scholars Research

Provides an opportunity for student and faculty interaction, as well as academic credit and financial support, to medical students who undertake original research. Enrollment is limited to students with approved projects.
Terms: Aut, Win, Spr, Sum | Units: 4-18 | Repeatable for credit | Grading: Medical School MD Grades
Instructors: ; Altman, R. (PI); Ashley, E. (PI); Bagley, S. (PI); Bassik, M. (PI); Batzoglou, S. (PI); Bayati, M. (PI); Bejerano, G. (PI); Bhattacharya, J. (PI); Blish, C. (PI); Boahen, K. (PI); Brandeau, M. (PI); Brutlag, D. (PI); Bustamante, C. (PI); Butte, A. (PI); Chang, H. (PI); Chen, J. (PI); Cherry, J. (PI); Cohen, S. (PI); Covert, M. (PI); Curtis, C. (PI); Das, A. (PI); Das, R. (PI); Davis, R. (PI); Delp, S. (PI); Desai, M. (PI); Dill, D. (PI); Dumontier, M. (PI); Elias, J. (PI); Fagan, L. (PI); Feldman, M. (PI); Ferrell, J. (PI); Fraser, H. (PI); Gambhir, S. (PI); Gerritsen, M. (PI); Gevaert, O. (PI); Goldstein, M. (PI); Greenleaf, W. (PI); Guibas, L. (PI); Hastie, T. (PI); Hlatky, M. (PI); Holmes, S. (PI); Ji, H. (PI); Karp, P. (PI); Khatri, P. (PI); Kim, S. (PI); Kirkegaard, K. (PI); Klein, T. (PI); Koller, D. (PI); Krummel, T. (PI); Kundaje, A. (PI); Levitt, M. (PI); Li, J. (PI); Longhurst, C. (PI); Lowe, H. (PI); Mallick, P. (PI); Manning, C. (PI); McAdams, H. (PI); Menon, V. (PI); Montgomery, S. (PI); Musen, M. (PI); Napel, S. (PI); Nolan, G. (PI); Olshen, R. (PI); Owen, A. (PI); Owens, D. (PI); Paik, D. (PI); Palacios, J. (PI); Pande, V. (PI); Petrov, D. (PI); Plevritis, S. (PI); Poldrack, R. (PI); Pritchard, J. (PI); Relman, D. (PI); Riedel-Kruse, I. (PI); Rivas, M. (PI); Rubin, D. (PI); Sabatti, C. (PI); Salzman, J. (PI); Shachter, R. (PI); Shafer, R. (PI); Shah, N. (PI); Sherlock, G. (PI); Sidow, A. (PI); Snyder, M. (PI); Tang, H. (PI); Taylor, C. (PI); Theriot, J. (PI); Tibshirani, R. (PI); Tu, S. (PI); Utz, P. (PI); Walker, M. (PI); Wall, D. (PI); Winograd, T. (PI); Wong, W. (PI); Xing, L. (PI); Zou, J. (PI)

BIOMEDIN 390A: Curricular Practical Training

Provides educational opportunities in biomedical informatics research. Qualified biomedical informatics students engage in internship work and integrate that work into their academic program. Students register during the quarter they are employed and must complete a research report outlining their work activity, problems investigated, key results, and any follow-up on projects they expect to perform. BIOMEDIN 390A, B, and C may each be taken only once.
Terms: Aut, Win, Spr, Sum | Units: 1 | Grading: Medical Satisfactory/No Credit

BIOMEDIN 390B: Curricular Practical Training

Provides educational opportunities in biomedical informatics research. Qualified biomedical informatics students engage in internship work and integrate that work into their academic program. Students register during the quarter they are employed and must complete a research report outlining their work activity, problems investigated, key results, and any follow-up on projects they expect to perform. BIOMEDIN 390A, B, and C may each be taken only once.
Terms: Aut, Win, Spr, Sum | Units: 1 | Grading: Medical Satisfactory/No Credit

BIOMEDIN 390C: Curricular Practical Training

Provides educational opportunities in biomedical informatics research. Qualified biomedical informatics students engage in internship work and integrate that work into their academic program. Students register during the quarter they are employed and must complete a research report outlining their work activity, problems investigated, key results, and any follow-up on projects they expect to perform. BIOMEDIN 390A, B, and C may each be taken only once.
Terms: Aut, Win, Spr, Sum | Units: 1 | Grading: Medical Satisfactory/No Credit

BIOMEDIN 801: TGR Master's Project

Project credit for masters students who have completed all course requirements and minimum of 45 Stanford units.
Terms: Aut, Win, Spr, Sum | Units: 0 | Repeatable for credit | Grading: TGR
Instructors: ; Altman, R. (PI); Ashley, E. (PI); Bagley, S. (PI); Bassik, M. (PI); Batzoglou, S. (PI); Bayati, M. (PI); Bejerano, G. (PI); Bhattacharya, J. (PI); Blish, C. (PI); Boahen, K. (PI); Brandeau, M. (PI); Brutlag, D. (PI); Bustamante, C. (PI); Butte, A. (PI); Chang, H. (PI); Cherry, J. (PI); Cohen, S. (PI); Covert, M. (PI); Curtis, C. (PI); Das, A. (PI); Das, R. (PI); Davis, R. (PI); Delp, S. (PI); Desai, M. (PI); Dill, D. (PI); Dumontier, M. (PI); Elias, J. (PI); Fagan, L. (PI); Feldman, M. (PI); Ferrell, J. (PI); Fraser, H. (PI); Gambhir, S. (PI); Gentles, A. (PI); Gerritsen, M. (PI); Gevaert, O. (PI); Goldstein, M. (PI); Greenleaf, W. (PI); Guibas, L. (PI); Hastie, T. (PI); Hlatky, M. (PI); Holmes, S. (PI); Ji, H. (PI); Karp, P. (PI); Khatri, P. (PI); Kim, S. (PI); Kirkegaard, K. (PI); Klein, T. (PI); Koller, D. (PI); Krummel, T. (PI); Kundaje, A. (PI); Levitt, M. (PI); Li, J. (PI); Longhurst, C. (PI); Lowe, H. (PI); Mallick, P. (PI); Manning, C. (PI); McAdams, H. (PI); Menon, V. (PI); Montgomery, S. (PI); Musen, M. (PI); Napel, S. (PI); Nolan, G. (PI); Olshen, R. (PI); Owen, A. (PI); Owens, D. (PI); Paik, D. (PI); Palacios, J. (PI); Pande, V. (PI); Petrov, D. (PI); Plevritis, S. (PI); Poldrack, R. (PI); Pritchard, J. (PI); Relman, D. (PI); Riedel-Kruse, I. (PI); Rivas, M. (PI); Rubin, D. (PI); Sabatti, C. (PI); Salzman, J. (PI); Shachter, R. (PI); Shafer, R. (PI); Shah, N. (PI); Sherlock, G. (PI); Sidow, A. (PI); Snyder, M. (PI); Tang, H. (PI); Taylor, C. (PI); Theriot, J. (PI); Tibshirani, R. (PI); Tu, S. (PI); Utz, P. (PI); Walker, M. (PI); Wall, D. (PI); Winograd, T. (PI); Wong, W. (PI); Xing, L. (PI); Zou, J. (PI)

BIOMEDIN 802: TGR PhD Dissertation

Terms: Aut, Win, Spr, Sum | Units: 0 | Repeatable for credit | Grading: TGR
Instructors: ; Altman, R. (PI); Ashley, E. (PI); Bagley, S. (PI); Bassik, M. (PI); Batzoglou, S. (PI); Bayati, M. (PI); Bejerano, G. (PI); Bhattacharya, J. (PI); Blish, C. (PI); Boahen, K. (PI); Brandeau, M. (PI); Brutlag, D. (PI); Bustamante, C. (PI); Butte, A. (PI); Chang, H. (PI); Cherry, J. (PI); Cohen, S. (PI); Covert, M. (PI); Curtis, C. (PI); Das, A. (PI); Das, R. (PI); Davis, R. (PI); Delp, S. (PI); Desai, M. (PI); Dill, D. (PI); Dumontier, M. (PI); Elias, J. (PI); Fagan, L. (PI); Feldman, M. (PI); Ferrell, J. (PI); Fraser, H. (PI); Gambhir, S. (PI); Gerritsen, M. (PI); Gevaert, O. (PI); Goldstein, M. (PI); Greenleaf, W. (PI); Guibas, L. (PI); Hastie, T. (PI); Hlatky, M. (PI); Holmes, S. (PI); Ji, H. (PI); Karp, P. (PI); Khatri, P. (PI); Kim, S. (PI); Kirkegaard, K. (PI); Klein, T. (PI); Koller, D. (PI); Krummel, T. (PI); Kundaje, A. (PI); Levitt, M. (PI); Li, J. (PI); Longhurst, C. (PI); Lowe, H. (PI); Mallick, P. (PI); Manning, C. (PI); McAdams, H. (PI); Menon, V. (PI); Montgomery, S. (PI); Musen, M. (PI); Napel, S. (PI); Nolan, G. (PI); Olshen, R. (PI); Owen, A. (PI); Owens, D. (PI); Paik, D. (PI); Palacios, J. (PI); Pande, V. (PI); Petrov, D. (PI); Plevritis, S. (PI); Poldrack, R. (PI); Pritchard, J. (PI); Relman, D. (PI); Riedel-Kruse, I. (PI); Rivas, M. (PI); Rubin, D. (PI); Sabatti, C. (PI); Salzman, J. (PI); Shachter, R. (PI); Shafer, R. (PI); Shah, N. (PI); Sherlock, G. (PI); Sidow, A. (PI); Snyder, M. (PI); Tang, H. (PI); Taylor, C. (PI); Theriot, J. (PI); Tibshirani, R. (PI); Tu, S. (PI); Utz, P. (PI); Walker, M. (PI); Wall, D. (PI); Winograd, T. (PI); Wong, W. (PI); Xing, L. (PI); Zou, J. (PI)
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