Department: Biomedical Informatics

Code Name Description
BIOMEDIN156 Economics of Health and Medical Care 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 insuran...
BIOMEDIN173A A Computational Tour of the Human Genome (Only one of 173 or 273A counts toward any CS degree program.) Introduction to computational biology through an informatic exploration of the human genome. Topics include: genome sequencing; functional landscape of the human genome (genes, gene regul...
BIOMEDIN201 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. Summer Quarter consists of critical review of relevant lit...
BIOMEDIN202 BIOMEDICAL DATA SCIENCE This course introduces the data modalities and methods valuable to ask and answer probing and novel questions that advance biomedicine. You will get exposure to a variety of current data types from imaging and omics to patient-centric and digital he...
BIOMEDIN202P BIOMEDICAL DATA SCIENCE This course introduces the data modalities and methods valuable to ask and answer probing and novel questions that advance biomedicine. You will get exposure to a variety of current data types from imaging and omics to patient-centric and digital he...
BIOMEDIN205 Precision Practice with Big Data Primarily for M.D. students; open to other graduate students. Provides an overview of how to leverage large amounts of clinical, molecular, and imaging data within hospitals and in cyberspace--big data--to practice medicine more effectively. Lectures...
BIOMEDIN208 Applied Clinical Informatics Seminar Weekly seminar series in which seminal literature and current publications in the field of clinical informatics are reviewed and discussed. Organized by the Stanford Clinical Informatics fellowship program. Topics include electronic health record des...
BIOMEDIN210 Modeling Biomedical Systems At the core of informatics is the problem of creating computable models of biomedical phenomena. This course explores methods for modeling biomedical systems with an emphasis on contemporary semantic technology, including knowledge graphs. Topics:...
BIOMEDIN212 Introduction to Biomedical Data Science Research Methodology Capstone Biomedical Data Science 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 s...
BIOMEDIN214 Representations and Algorithms for Computational Molecular Biology Topics: This is a graduate level introduction to bioinformatics and computational biology, algorithms for alignment of biological sequences and structures, computing with strings, phylogenetic tree construction, hidden Markov models, basic structural...
BIOMEDIN215 Data Science for 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 dis...
BIOMEDIN216 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: familiar...
BIOMEDIN217 Translational Bioinformatics 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, machin...
BIOMEDIN219 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, emp...
BIOMEDIN220 Artificial Intelligence in Healthcare Healthcare is one of the most exciting application domains of artificial intelligence, with transformative potential in areas ranging from medical image analysis to electronic health records-based prediction and precision medicine. This course will i...
BIOMEDIN221 Machine Learning Approaches for Data Fusion in Biomedicine Vast amounts of biomedical data are now routinely available for patients, raging from genomic data, to radiographic images and electronic health records. AI and machine learning are increasingly used to enable pattern discover to link such data for i...
BIOMEDIN222 Cloud Computing for Biology and Healthcare Big Data is radically transforming healthcare. To provide real-time personalized healthcare, we need hardware and software solutions that can efficiently store and process large-scale biomedical datasets. In this class, students will learn the concep...
BIOMEDIN223 Deploying and Evaluating Fair AI in Healthcare AI applications are proliferating throughout the healthcare system and stakeholders are faced with the opportunities and challenges of deploying these quickly evolving technologies. This course teaches the principles of AI evaluations in healthcare,...
BIOMEDIN224 Principles of Pharmacogenomics 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., cytoch...
BIOMEDIN225 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 class will teach you how to use EHRs and other patient data in conjunction...
BIOMEDIN226 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 o...
BIOMEDIN233 Intermediate Biostatistics: Analysis of Discrete Data (Formerly HRP 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, condit...
BIOMEDIN240 Race, Data Algorithms, and Health This course studies the interplay between race, data and algorithms in healthcare. The particular viewpoint we want to take is to understand the role of data, data analysis and algorithms in supporting equitable delivery of health care to members of...
BIOMEDIN245 Statistical and Machine Learning Methods for Genomics Introduction to statistical and computational methods for genomics. Sample topics include: expectation maximization, hidden Markov model, Markov chain Monte Carlo, ensemble learning, probabilistic graphical models, kernel methods and other modern mac...
BIOMEDIN248 Causal Inference in Clinical Trials and Observational Study (II) This course offers an overview of statistical foundations for causal inference. This course introduces new analytic methods for causal inference in observational study including propensity score, doubly robust estimation, instrumental variables, marg...
BIOMEDIN251 Outcomes Analysis This course introduces and develops methods for conducting empirical research that address clinical and policy questions that are not suitable for randomized trials. Conceptual and applied models of causal inference guide the design of empirical res...
BIOMEDIN254 Quality & Safety in U.S. Healthcare The course will provide an in-depth examination of the quality & patient safety movement in the US healthcare system, the array of quality measurement techniques and issues, and perspectives of quality and safety improvement efforts under the current...
BIOMEDIN256 Economics of Health and Medical Care 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 insuran...
BIOMEDIN260 Computational Methods for Biomedical Image Analysis and Interpretation 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...
BIOMEDIN273B Deep Learning in Genomics and Biomedicine Recent breakthroughs in high-throughput genomic and biomedical data are transforming biological sciences into "big data" disciplines. In parallel, progress in deep neural networks are revolutionizing fields such as image recognition, natural language...
BIOMEDIN279 Computational Biology: Structure and Organization of Biomolecules and Cells Computational techniques for investigating and designing the three-dimensional structure and dynamics of biomolecules and cells. These computational methods play an increasingly important role in drug discovery, medicine, bioengineering, and molecul...
BIOMEDIN290 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 lectur...
BIOMEDIN299 Directed Reading and Research For students wishing to receive credit for directed reading or research time. Prerequisite: consent of instructor. (Staff)
BIOMEDIN360 Inclusive Mentorship in Data Science This course has the following broad goals: (1) To ensure that Stanford graduate students in data science are intentionally trained to effectively mentor people who may be different from them. (2) To sustainably develop pathways to increase access to...
BIOMEDIN370 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.
BIOMEDIN371 Computational Biology in Four Dimensions Cutting-edge research on computational techniques for investigating and designing the three-dimensional structure and dynamics of biomolecules, cells, and everything in between. These techniques, which draw on approaches ranging from physics-based s...
BIOMEDIN388 Stakeholder Competencies for Artificial Intelligence in Healthcare Advancements of machine learning and AI into all areas of medicine are now a reality and they hold the potential to transform healthcare and open up a world of incredible promise for everyone. But we will never realize the potential for these technol...
BIOMEDIN390A 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 a...
BIOMEDIN390B 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 a...
BIOMEDIN390C 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 a...
BIOMEDIN432 Analysis of Costs, Risks, and Benefits of Health Care For graduate students. How to do cost/benefit analysis when the output is difficult or impossible to measure. Literature on the principles of cost/benefit analysis applied to health care. Critical review of actual studies. Emphasis is on the art of p...
BIOMEDIN472 Data science and AI for COVID-19 This project class investigates and models COVID-19 using tools from data science and machine learning. We will introduce the relevant background for the biology and epidemiology of the COVID-19 virus. Then we will critically examine current models t...
BIOMEDIN801 TGR Master's Project Project credit for masters students who have completed all course requirements and minimum of 45 Stanford units.Please enroll in your instructors section. If its not available, please reach out to Asma'a Eljibahi (ajibahi@stanford.edu) for assistance...
BIOMEDIN802 TGR PhD Dissertation Please enroll in your instructors section, if its not available, please reach out to Asma'a Eljibahi (ajibahi@stanford.edu) for assistance.