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1 - 3 of 3 results for: MED 253

BIOS 253: Discovery and Innovation in Emerging Viral Infections

An interdisciplinary mini course focused on challenges posed by emerging viruses and innovative efforts to overcome them. Modules include epidemiology and ecology of emerging viral infections, such as Ebola, dengue, and Zika, discovery of new emerging viruses, development and application of molecular assays for the diagnosis and management of emerging viral infections, bioinformatics and genetic approaches for antiviral target discovery, and novel therapeutic approaches for combating emerging viruses. It is intended for graduate students and postdoctoral fellows interested in emerging viral infections. Advanced undergraduates are also welcome. Prerequisite: background in molecular biology.
Last offered: Winter 2018

HRP 253: Cancer Epidemiology and Prevention

This course focuses on the role of epidemiology in cancer etiology, prevvention, and control. We will discuss descriptive epidemiology, including cancer trends and patterns, natural history, and biologic characteristics as well as etiology of selected cancers. the influence of environmental and genetic factors and their interplay on the development of cancer are discussed as well as methodologic issues related to investigations of these studies. Principles and problems involved in cancer prevention and screening are covered. Student evaluation is based on a brief presentation and a paper on the descriptive epidemiology of a selected cancer, and participation in class discussions.
Terms: Win | Units: 3
Instructors: Hsing, A. (PI)

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)
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