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501 - 510 of 772 results for: Medicine

MED 253: Building for Digital Health (CS 342)

This project-based course will provide a comprehensive overview of key requirements in the design and full-stack implementation of a digital health research application. Several pre-vetted and approved projects from the Stanford School of Medicine will be available for students to select from and build. Student teams learn about all necessary approval processes to deploy a digital health solution (data privacy clearance/I RB approval, etc.) and be guided in the development of front-end and back-end infrastructure using best practices. The final project will be the presentation and deployment of a fully approved digital health research application. CS106A, CS106B, Recommended: CS193P/A, CS142, CS47, CS110. Limited enrollment for this course. Students need to submit their application online via: https://docs.google.com/forms/d/e/1FAIpQLSfENFanSf9TL8fvCS9RSLOQ90g_NF2_lETx3pQ8Y8BjxToR7g/viewform
Terms: Aut | Units: 3
Instructors: Aalami, O. (PI)

MED 254: Engineering Better Health Systems: modeling for public health (HRP 234)

This course teaches engineering, operations research and modeling techniques to improve public health programs and systems. Students will engage in in-depth study of disease detection and control strategies from a "systems science" perspective, which involves the use of common engineering, operations research, and mathematical modeling techniques such as optimization, queuing theory, Markov and Kermack-McKendrick models, and microsimulation. Lectures and problem sets will focus on applying these techniques to classical public health dilemmas such as how to optimize screening programs, reduce waiting times for healthcare services, solve resource allocation problems, and compare macro-scale disease control strategies that cannot be easily evaluated through randomized trials. Readings will complement the lectures and problem sets by offering critical perspectives from the public health history, sociology, and epidemiology. In-depth case studies from non-governmental organizations, departm more »
This course teaches engineering, operations research and modeling techniques to improve public health programs and systems. Students will engage in in-depth study of disease detection and control strategies from a "systems science" perspective, which involves the use of common engineering, operations research, and mathematical modeling techniques such as optimization, queuing theory, Markov and Kermack-McKendrick models, and microsimulation. Lectures and problem sets will focus on applying these techniques to classical public health dilemmas such as how to optimize screening programs, reduce waiting times for healthcare services, solve resource allocation problems, and compare macro-scale disease control strategies that cannot be easily evaluated through randomized trials. Readings will complement the lectures and problem sets by offering critical perspectives from the public health history, sociology, and epidemiology. In-depth case studies from non-governmental organizations, departments of public health, and international agencies will drive the course. Prerequisites: A course in introductory statistics, and a course in multivariable calculus including ordinarily differential equations. Open to upper-division undergraduate students and graduate students. Human Biology majors enroll in HUMBIO 154A. Prerequisite: MATH 51 or CME 100 and Human Biology Core or Bio 141 or BioHopk 174H
Last offered: Autumn 2018

MED 255: The Responsible Conduct of Research

Forum. How to identify and approach ethical dilemmas that commonly arise in biomedical research. Issues in the practice of research such as in publication and interpretation of data, and issues raised by academic/industry ties. Contemporary debates at the interface of biomedical science and society regarding research on stem cells, bioweapons, genetic testing, human subjects, and vertebrate animals. Completion fulfills NIH/ADAMHA requirement for instruction in the ethical conduct of research. Prerequisite: research experience recommended.
Terms: Aut, Win, Spr | Units: 1

MED 255C: The Responsible Conduct of Research for Clinical and Community Researchers

Engages clinical researchers in discussions about ethical issues commonly encountered during their clinical research careers and addresses contemporary debates at the interface of biomedical science and society. Graduate students required to take RCR who are or will be conducting clinical research are encouraged to enroll in this version of the course. Prequisite: research experience recommended.
Last offered: Spring 2019

MED 256: Gene Expression Profiling in Cancer

This course will cover techniques used to query the expression of genes in tissue and how the information derived from those techniques can be used to answer questions in cancer biology. The focus will be on the transcriptome analysis (e.g. RT-qPCR, microarrays, RNA-seq, etc.) in the context of cancer biology experiments. Throughout the quarter, we will develop a pipeline to analyze high-throughput RNA-seq data. Finally we will go over differential gene expression analysis techniques and tools used to interpret lists of genes derived from such analysis.
Last offered: Spring 2019

MED 256SI: Race, Class and Global Health (CSRE 256SI)

This course's goal is to critically engage students in the socioeconomic and racial disparities in healthcare outcomes and encourage students to think broadly about the complex relationship between institutions, healthcare providers, socioeconomic status, and race/ethnicity. The topics will center on conceptual issues important for understanding how socioeconomic and minority status can lead to poor health outcomes examining how conscious and unconscious institutional biases affect treatment, care, and access, and addressing proposals for how to reduce disparities in health care. nThe focus of the course is broad. The first three weeks will center on public health issues due to global healthcare trends, including the results of disparities in the United States. These discussions will frame our sessions int he latter sic weeks, which will each consist of a case study of specific cases of disparities and response to such inequities worldwide, from India to Rwanda. nEach class's discussio more »
This course's goal is to critically engage students in the socioeconomic and racial disparities in healthcare outcomes and encourage students to think broadly about the complex relationship between institutions, healthcare providers, socioeconomic status, and race/ethnicity. The topics will center on conceptual issues important for understanding how socioeconomic and minority status can lead to poor health outcomes examining how conscious and unconscious institutional biases affect treatment, care, and access, and addressing proposals for how to reduce disparities in health care. nThe focus of the course is broad. The first three weeks will center on public health issues due to global healthcare trends, including the results of disparities in the United States. These discussions will frame our sessions int he latter sic weeks, which will each consist of a case study of specific cases of disparities and response to such inequities worldwide, from India to Rwanda. nEach class's discussion will be guided by case studies. The readings will come from a variety of sources, including academic journals, more popular journals and magazines, books and government documents. Student will be expected to complete the readings and a reflection in advance of class each week. Each week will additionally include optional readings that will guide additional discussion.
Last offered: Spring 2017

MED 262: Economics of Health Improvement in Developing Countries (ECON 127)

Application of economic paradigms and empirical methods to health improvement in developing countries. Emphasis is on unifying analytic frameworks and evaluation of empirical evidence. How economic views differ from public health, medicine, and epidemiology; analytic paradigms for health and population change; the demand for health; the role of health in international development. Prerequisites: ECON 50 and ECON 102B.
Last offered: Spring 2019

MED 263: Advanced Decision Science Methods and Modeling in Health (HRP 263)

Advanced methods currently used in published model-based cost-effectiveness analyses in medicine and public health, both theory and technical applications. Topics include: Markov and microsimulation models, model calibration and evaluation, and probabilistic sensitivity analyses. Prerequisites: a course in probability, a course in statistics or biostatistics, a course on cost-effectiveness such as HRP 392, a course in economics, and familiarity with decision modeling software such as TreeAge.
Terms: Win | Units: 3

MED 265: Advanced Topics in the Economics of Health and Medical Care (HRP 257)

Emphasis is on research studies in health economics. Seminar style course focuses on health economics. Complimentary with HRP 256. Students will be expected to read and present papers to the group and discuss concepts with faculty. Restricted to second year or beyond PhD students in economics & economics-related disciplines.
Terms: Aut | Units: 2 | Repeatable for credit

MED 266: Literacy: A Fundamental Human Right Toward Health and Advocacy

This is a Community Engaged learning seminar style course that meets once a week for an hour and a half. We will have seminar discussions and readings related to local health literacy issues, and the systemic factors affecting health literacy through collaborative problem-solving processes through course readings and community engagement experiences. Emphasis will be on active learning, with assignments calling for data gathering through interaction with community members to explore and address these issues for more positive health outcomes. The course is open to pre-clinical medical, undergraduate and graduate students. No prerequisites.
Terms: Win, Spr | Units: 1-3 | Repeatable for credit
Instructors: Gabali, C. (PI)
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