2016-2017 2017-2018 2018-2019 2019-2020 2020-2021
Browse
by subject...
    Schedule
view...
 
  COVID-19 Scheduling Updates!
Due to recent announcements about Autumn Quarter (see the President's update), please expect ongoing changes to the class schedule.

71 - 80 of 789 results for: Medicine

BIOE 217: Translational Bioinformatics (BIOMEDIN 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. Prerequisites: programming ability at the level of CS 106A and familiarity with biology and statistics.
Terms: Win | Units: 3-4

BIOE 222: Physics and Engineering Principles of Multi-modality Molecular Imaging of Living Subjects (RAD 222)

Physics and Engineering Principles of Multi-modality Molecular Imaging of Living Subjects ( RAD 222A). Focuses on instruments, algorithms and other technologies for non-invasive imaging of molecular processes in living subjects. Introduces research and clinical molecular imaging modalities, including PET, SPECT, MRI, Ultrasound, Optics, and Photoacoustics. For each modality, lectures cover the basics of the origin and properties of imaging signal generation, instrumentation physics and engineering of signal detection, signal processing, image reconstruction, image data quantification, applications of machine learning, and applications of molecular imaging in medicine and biology research.
Terms: Aut | Units: 3-4

BIOE 229: Advanced Research Topics in Multi-modality Molecular Imaging of Living Subjects

Covers advanced topics and controversies in molecular imaging in the understanding of biology and disease. Lectures will include discussion on instrumentation, probes and bioassays. Topics will address unmet needs for visualization and quantification of molecular pathways in biology as well as for diagnosis and disease management. Areas of unmet clinical needs include those in oncology, neurology, cardiovascular medicine and musculoskeletal diseases. The aim is to identify important problems and controversies in a field and address them by providing background and relevance through review of the relevant primary literature, and then proposing and evaluating innovative imaging strategies that are designed to address the problem. The organization of lectures is similar to the thought process that is necessary for writing an NIH grant proposal in which aims are proposed and supported by background and relevance. The innovation of proposed approaches will be highlighted. An aim of the course is to inform students on how to creatively think about a problem and propose a solution focusing on the key elements of writing a successful grant proposal. Prerequisites: none.
Last offered: Spring 2017

BIOE 236: Biophysical Mechanisms of Innate Immunity

Course Description: The innate immune system provides our first line of defense against infections of all kinds as well as cancer; and dysregulation of innate immunity underlies autoimmune conditions. Innate immune effectors, e.g. host defense peptides are deployed by many cell types (neutrophils, macrophages, NK cells, epithelial cells, keratinocytes, others) and attack by biophysical mechanisms. Using primary literature, we will discuss the breadth, evolution, structures, mechanisms, and functions of key cellular and molecular innate immune effectors. Appropriate for grad students and advanced undergrads with knowledge of biochemistry, molecular/cellular biology, biophysics, and/or bioengineering. Objectives: This course teaches key biophysical aspects and mechanisms of the human innate immune system and its cellular and molecular effectors. We discuss the current understanding and hypotheses for how misregulation of innate immunity contribute to inflammatory and autoimmune conditions. Students gain individualized, mentored experience in creative planning and writing of a technical paper on an intriguing topic in medicine using primary literature as a resource, and practice giving lectures about the results of their research to their peers.
Terms: Win | Units: 3
Instructors: Barron, A. (PI)

BIOE 279: Computational Biology: Structure and Organization of Biomolecules and Cells (BIOMEDIN 279, BIOPHYS 279, CME 279, CS 279)

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 molecular biology. Course topics include protein structure prediction, protein design, drug screening, molecular simulation, cellular-level simulation, image analysis for microscopy, and methods for solving structures from crystallography and electron microscopy data. Prerequisites: elementary programming background ( CS 106A or equivalent) and an introductory course in biology or biochemistry.
Terms: Aut | Units: 3

BIOE 361: Biomaterials in Regenerative Medicine (MATSCI 381)

Materials design and engineering for regenerative medicine. How materials interact with cells through their micro- and nanostructure, mechanical properties, degradation characteristics, surface chemistry, and biochemistry. Examples include novel materials for drug and gene delivery, materials for stem cell proliferation and differentiation, and tissue engineering scaffolds. Prerequisites: undergraduate chemistry, and cell/molecular biology or biochemistry.
Terms: Spr | Units: 3

BIOE 390: Introduction to Bioengineering Research (MED 289)

Preference to medical and bioengineering graduate students with first preference given to Bioengineering Scholarly Concentration medical students. Bioengineering is an interdisciplinary field that leverages the disciplines of biology, medicine, and engineering to understand living systems, and engineer biological systems and improve engineering designs and human and environmental health. Students and faculty make presentations during the course. Students expected to make presentations, complete a short paper, read selected articles, and take quizzes on the material.
Terms: Aut | Units: 1-2 | Repeatable 5 times (up to 10 units total)

BIOE 393: Bioengineering Departmental Research Colloquium

Required Bioengineering department colloquium for first year Ph.D. and M.S. students. Topics include applications of engineering to biology, medicine, biotechnology, and medical technology, including biodesign and devices, molecular and cellular engineering, regenerative medicine and tissue engineering, biomedical imaging, and biomedical computation.
Terms: Aut | Units: 1 | Repeatable for credit

BIOE 459: Frontiers in Interdisciplinary Biosciences (BIO 459, BIOC 459, CHEM 459, CHEMENG 459, PSYCH 459)

Students register through their affiliated department; otherwise register for CHEMENG 459. For specialists and non-specialists. Sponsored by the Stanford BioX Program. Three seminars per quarter address scientific and technical themes related to interdisciplinary approaches in bioengineering, medicine, and the chemical, physical, and biological sciences. Leading investigators from Stanford and the world present breakthroughs and endeavors that cut across core disciplines. Pre-seminars introduce basic concepts and background for non-experts. Registered students attend all pre-seminars; others welcome. See http://biox.stanford.edu/courses/459.html. Recommended: basic mathematics, biology, chemistry, and physics.
Last offered: Spring 2020 | Repeatable for credit

BIOHOPK 14: Bio-logging and Bio-telemetry

Bio-logging is a rapidly growing discipline that includes diverse fields such as consumer electronics, medicine, and marine biology. The use of animal-attached digital tags is a powerful approach to study the movement and ecology of individuals over a wide range of temporal and spatial scales. This course is an introduction to bio-logging methods and analysis. Using whales as a model system, students will learn how use multi-sensor tags to study behavioral biomechanics.
Last offered: Spring 2018 | UG Reqs: WAY-AQR, WAY-SMA
Filter Results:
term offered
updating results...
teaching presence
updating results...
number of units
updating results...
time offered
updating results...
days
updating results...
UG Requirements (GERs)
updating results...
component
updating results...
career
updating results...
© Stanford University | Terms of Use | Copyright Complaints