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BIOE 44: Fundamentals for Engineering Biology Lab

Introduction to next-generation techniques in genetic, molecular, biochemical, and cellular engineering. Lab modules build upon current research including: gene and genome engineering via decoupled design and construction of genetic material; component engineering focusing on molecular design and quantitative analysis of experiments; device and system engineering using abstracted genetically encoded objects; and product development based on useful applications of biological technologies. Concurrent or previous enrollment in BIO 82 or BIO 83.
Terms: Aut, Spr | Units: 4 | UG Reqs: WAY-SMA | Grading: Letter (ABCD/NP)

BIOE 101: Systems Biology (BIOE 210)

Complex biological behaviors through the integration of computational modeling and molecular biology. Topics: reconstructing biological networks from high-throughput data and knowledge bases. Network properties. Computational modeling of network behaviors at the small and large scale. Using model predictions to guide an experimental program. Robustness, noise, and cellular variation. Prerequisites: CME 102; BIO 82, BIO 84; or consent of instructor.
Terms: Aut | Units: 3 | UG Reqs: WAY-AQR | Grading: Letter (ABCD/NP)

BIOE 141A: Senior Capstone Design I

Lecture/Lab. First course of two-quarter capstone sequence. Team based project introduces students to the process of designing new biological technologies to address societal needs. Topics include methods for validating societal needs, brainstorming, concept selection, and the engineering design process. First quarter deliverable is a design for the top concept. Second quarter involves implementation and testing. Guest lectures and practical demonstrations are incorporated. Prerequisites: BIOE 123 and BIOE 44. This course is open only to seniors in the undergraduate Bioengineering program.
Terms: Aut | Units: 4 | Grading: Letter (ABCD/NP)

BIOE 191: Bioengineering Problems and Experimental Investigation

Directed study and research for undergraduates on a subject of mutual interest to student and instructor. Prerequisites: consent of instructor and adviser. (Staff)
Terms: Aut, Win, Spr, Sum | Units: 1-5 | Repeatable for credit | Grading: Letter or Credit/No Credit

BIOE 191X: Out-of-Department Advanced Research Laboratory in Bioengineering

Individual research by arrangement with out-of-department instructors. Credit for 191X is restricted to declared Bioengineering majors pursuing honors and requires department approval. See http://bioengineering.stanford.edu/education/undergraduate.html for additional information. May be repeated for credit.
Terms: Aut, Win, Spr, Sum | Units: 1-15 | Repeatable for credit | Grading: Letter (ABCD/NP)

BIOE 210: Systems Biology (BIOE 101)

Complex biological behaviors through the integration of computational modeling and molecular biology. Topics: reconstructing biological networks from high-throughput data and knowledge bases. Network properties. Computational modeling of network behaviors at the small and large scale. Using model predictions to guide an experimental program. Robustness, noise, and cellular variation. Prerequisites: CME 102; BIO 82, BIO 84; or consent of instructor.
Terms: Aut | Units: 3 | Grading: Letter (ABCD/NP)

BIOE 214: Representations and Algorithms for Computational Molecular Biology (BIOMEDIN 214, CS 274, GENE 214)

Topics: 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 computations on proteins, protein structure prediction, protein threading techniques, homology modeling, molecular dynamics and energy minimization, statistical analysis of 3D biological data, integration of data sources, knowledge representation and controlled terminologies for molecular biology, microarray analysis, machine learning (clustering and classification), and natural language text processing. Prerequisite: CS 106B; recommended: CS161; consent of instructor for 3 units.
Terms: Aut | Units: 3-4 | Grading: Medical Option (Med-Ltr-CR/NC)

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: Aut | Units: 4 | Grading: Medical Option (Med-Ltr-CR/NC)

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)nFocuses 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 | Grading: Medical Option (Med-Ltr-CR/NC)

BIOE 225: Ultrasound Imaging and Therapeutic Applications (RAD 225)

Covers the basic concepts of ultrasound imaging including acoustic properties of biological tissues, transducer hardware, beam formation, and clinical imaging.  Also includes the therapeutic applications of ultrasound including thermal and mechanical effects, visualization of the temperature and radiation force with MRI, tissue assessment with MRI and ultrasound, and ultrasound-enhanced drug delivery. Course website: http://bioe225.stanford.edu
Terms: Aut | Units: 3 | Grading: Medical Option (Med-Ltr-CR/NC)
Instructors: ; Pauly, K. (PI)

BIOE 273: Biodesign for Digital Health (MED 273)

Health care is facing significant cross-industry challenges and opportunities created by a number of factors including: the increasing need for improved access to affordable, high-quality care; growing demand from consumers for greater control of their health and health data; the shift in focus from sick care to prevention and health optimization; aging demographics and the increased burden of chronic conditions; and new emphasis on real-world, measurable health outcomes for individuals and populations. Moreover, the delivery of health information and services is no longer tied to traditional brick and mortar hospitals and clinics: it has increasingly become "mobile," enabled by apps, sensors, wearables; simultaneously, it has been augmented and often revolutionized by emerging digital and information technologies, as well as by the data that these technologies generate. This multifactorial transformation presents opportunities for innovation across the entire cycle of care, from wellness, to acute and chronic diseases, to care at the end of life. But how does one approach innovation in digital health to address these health care challenges while ensuring the greatest chance of success? At Stanford Biodesign, we believe that innovation is a process that can be learned, practiced, and perfected; and, it starts with a need. In Biodesign for Digital Health, students will learn about digital health and the Biodesign needs-driven innovation process from over 50 industry experts. Over the course of ten weeks, these speakers join the teaching team in a dynamic classroom environment that includes lectures, panel discussions, and breakout sessions. These experts represent startups, corporations, venture capital firms, accelerators, research labs, health organizations, and more. Student teams will take actual digital and mobile health challenges and learn how to apply Biodesign innovation principles to research and evaluate needs, ideate solutions, and objectively assess them against key criteria for satisfying the needs. Teams take a hands-on approach with the support of need coaches and mentors. On the final day of class, teams present to a panel of digital health experts and compete for project extension funding. Friday section will be used for team projects and for scheduled workshops. Limited enrollment for this course. Students need to submit their application online via: https://stanforduniversity.qualtrics.com/jfe/form/SV_28ZWIF8RJsyMvCR
Terms: Aut | Units: 3 | Grading: Letter or Credit/No Credit

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 | Grading: Letter or Credit/No Credit

BIOE 283: Mechanotransduction in Cells and Tissues (BIOPHYS 244, ME 244)

Mechanical cues play a critical role in development, normal functioning of cells and tissues, and various diseases. This course will cover what is known about cellular mechanotransduction, or the processes by which living cells sense and respond to physical cues such as physiological forces or mechanical properties of the tissue microenvironment. Experimental techniques and current areas of active investigation will be highlighted. This class is for graduate students only.
Terms: Aut | Units: 3 | Grading: Letter (ABCD/NP)

BIOE 291: Principles and Practice of Optogenetics for Optical Control of Biological Tissues

Principles and practice of optical control of biological processes (optogenetics), emphasizing bioengineering approaches. Theoretical, historical, and current practice of the field. Requisite molecular-genetic, optoelectronic, behavioral, clinical, and ethical concepts, and mentored analysis and presentation of relevant papers. Final projects of research proposals and a laboratory component in BioX to provide hands-on training. Contact instructor before registering.
Terms: Aut | Units: 3 | Grading: Letter or Credit/No Credit

BIOE 300B: Quantitative Physiology

An engineering approach to understanding physiological phenomenon. Course introduces weekly topics in biology and human physiology paired with a mathematical approach to modeling and understanding that week's topic. No strict prerequisites. No prior background in biology is required or assumed. Familiarity with linear algebra, statistics, and programming is recommended. Course information at: http://bioe300b.stanford.edu
Terms: Aut | Units: 3 | Grading: Letter or Credit/No Credit

BIOE 301A: Molecular and Cellular Engineering Lab

Preference to Bioengineering graduate students. Practical applications of biotechnology and molecular bioengineering including recombinant DNA techniques, molecular cloning, microbial cell growth and manipulation, and library screening. Emphasis is on experimental design and data analysis. Limited enrollment. Fall
Terms: Aut | Units: 2 | Grading: Letter (ABCD/NP)

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: Aut | Units: 3 | Grading: Letter (ABCD/NP)

BIOE 371: Global Biodesign: Medical Technology in an International Context (MED 271)

This course ( BIOE371, MED271) exposes students to the challenges and opportunities of developing and implementing innovative health technologies to help patients around the world. Non-communicable diseases, such as metabolic and chronic respiratory disease, now account for 7 in 10 deaths worldwide, creating the need for innovative health technologies that work across diverse global markets. At the beginning of the quarter, the course will provide an overview of the dynamic global health technology industry. Next, faculty members, guest experts, and students will discuss key differences and similarities when commercializing new products in the for-profit health technology sector across six important regions: the US and Europe, China and Japan, and India and Brazil. Finally, the course will explore critical ¿global health¿ issues that transcend international borders and how technology can be leveraged to address them. This section will culminate with an interactive debate focused on whether for-profit, nonprofit, or hybrid models are best for implementing sustainable global health solutions. The last class will be devoted to synthesis, reflection, and a discussion of career opportunities in the global health technology field.
Terms: Aut | Units: 1 | Grading: Medical Option (Med-Ltr-CR/NC)

BIOE 376: Startup Garage: Design

A hands-on, project-based course, in which teams identify and work with users, domain experts, and industry participants to identify an unmet customer need, design new products or services that meet that need, and develop business models to support the creation and launch of startup products or services. This course integrates methods from human-centered design, lean startup, and business model planning. Each team will conceive, design, build, and field-test critical aspects of both the product or service and the business model.
Terms: Aut | Units: 4 | Grading: Letter or Credit/No Credit

BIOE 385: Biomaterials for Drug Delivery (MATSCI 385)

Fundamental concepts in engineering materials for drug delivery. The human body is a highly interconnected network of different tissues and there are all sorts of barriers to getting pharmaceutical drugs to the right place at the right time. Topics include drug delivery mechanisms (passive, targeted), therapeutic modalities and mechanisms of action, engineering principles of controlled release and quantitative understanding of drug transport, chemical and physical characteristics of delivery molecules and assemblies, significance of biodistribution and pharmacokinetic models, toxicity of biomaterials and drugs, and immune responses.
Terms: Aut | Units: 3 | Grading: Letter or Credit/No Credit

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 for credit | Grading: Medical Satisfactory/No Credit

BIOE 391: Directed Study

May be used to prepare for research during a later quarter in 392. Faculty sponsor required. May be repeated for credit.
Terms: Aut, Win, Spr, Sum | Units: 1-6 | Repeatable for credit | Grading: Satisfactory/No Credit

BIOE 392: Directed Investigation

For Bioengineering graduate students. Previous work in 391 may be required for background; faculty sponsor required. May be repeated for credit.
Terms: Aut, Win, Spr, Sum | Units: 1-10 | Repeatable for credit | Grading: Satisfactory/No Credit
Instructors: ; Airan, R. (PI); Alizadeh, A. (PI); Altman, R. (PI); Andriacchi, T. (PI); Annes, J. (PI); Appel, E. (PI); Baker, J. (PI); Bammer, R. (PI); Bao, Z. (PI); Barron, A. (PI); Batzoglou, S. (PI); Bertozzi, C. (PI); Bintu, L. (PI); Boahen, K. (PI); Bowden, A. (PI); Bryant, Z. (PI); Butte, A. (PI); Camarillo, D. (PI); Carter, D. (PI); Chang, H. (PI); Chaudhuri, O. (PI); Chen, X. (PI); Cheng, C. (PI); Chichilnisky, E. (PI); Chiu, W. (PI); Cochran, J. (PI); Contag, C. (PI); Covert, M. (PI); Criddle, C. (PI); Curtis, C. (PI); Dabiri, J. (PI); Dahl, J. (PI); Das, R. (PI); De Leo, G. (PI); Deisseroth, K. (PI); Delp, S. (PI); Demirci, U. (PI); Dionne, J. (PI); Elias, J. (PI); Endy, D. (PI); Engleman, E. (PI); Ennis, D. (PI); Etkin, A. (PI); Fahrig, R. (PI); Feinstein, J. (PI); Feng, L. (PI); Ferrara, K. (PI); Fire, A. (PI); Fischbach, M. (PI); Fordyce, P. (PI); Gambhir, S. (PI); Ganguli, S. (PI); Garcia, C. (PI); Giaccia, A. (PI); Glenn, J. (PI); Glover, G. (PI); Gold, G. (PI); Goodman, S. (PI); Graves, E. (PI); Greenleaf, W. (PI); Gurtner, G. (PI); Hargreaves, B. (PI); Heilshorn, S. (PI); Heller, S. (PI); Herschlag, D. (PI); Huang, K. (PI); Huang, P. (PI); Idoyaga, J. (PI); Ingelsson, E. (PI); James, M. (PI); Jarosz, D. (PI); Jonikas, M. (PI); Khuri-Yakub, B. (PI); Kim, P. (PI); Kovacs, G. (PI); Krasnow, M. (PI); Krummel, T. (PI); Kuhl, E. (PI); Kuo, C. (PI); Lee, J. (PI); Leskovec, J. (PI); Levenston, M. (PI); Levin, C. (PI); Lin, M. (PI); Liphardt, J. (PI); Longaker, M. (PI); Malenka, R. (PI); Marsden, A. (PI); Monje-Deisseroth, M. (PI); Montgomery, S. (PI); Moore, T. (PI); Nishimura, D. (PI); Nolan, G. (PI); Nuyujukian, P. (PI); O'Brien, L. (PI); Okamura, A. (PI); Pauly, J. (PI); Pauly, K. (PI); Pelc, N. (PI); Petrov, D. (PI); Plevritis, S. (PI); Prakash, M. (PI); Pruitt, B. (PI); Qi, S. (PI); Quake, S. (PI); Rando, T. (PI); Raymond, J. (PI); Red-Horse, K. (PI); Reddy, S. (PI); Reijo Pera, R. (PI); Relman, D. (PI); Riedel-Kruse, I. (PI); Rose, J. (PI); Rutt, B. (PI); Saggar, M. (PI); Sanger, T. (PI); Santa Maria, P. (PI); Sapolsky, R. (PI); Sattely, E. (PI); Schnitzer, M. (PI); Scott, M. (PI); Shenoy, K. (PI); Smolke, C. (PI); Soh, H. (PI); Soltesz, I. (PI); Sonnenburg, J. (PI); Spielman, D. (PI); Sunwoo, J. (PI); Swartz, J. (PI); Taylor, C. (PI); Theriot, J. (PI); Walbot, V. (PI); Wall, D. (PI); Wang, B. (PI); Wang, P. (PI); Wang, S. (PI); Weissman, I. (PI); Wernig, M. (PI); Woo, J. (PI); Wu, J. (PI); Wu, S. (PI); Wyss-Coray, T. (PI); Xing, L. (PI); Yang, F. (PI); Yang, Y. (PI); Yock, P. (PI); Zeineh, M. (PI); Zenios, S. (PI)

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, Win | Units: 1 | Repeatable for credit | Grading: Satisfactory/No 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.
Terms: Aut, Win, Spr | Units: 1 | Repeatable for credit | Grading: Medical Satisfactory/No Credit

BIOE 500: Thesis (Ph.D.)

(Staff)
Terms: Aut, Win, Spr, Sum | Units: 1-15 | Repeatable for credit | Grading: Satisfactory/No Credit
Instructors: ; Alizadeh, A. (PI); Altman, R. (PI); Andriacchi, T. (PI); Appel, E. (PI); Baker, J. (PI); Bammer, R. (PI); Bao, Z. (PI); Barron, A. (PI); Batzoglou, S. (PI); Bertozzi, C. (PI); Bintu, L. (PI); Boahen, K. (PI); Bryant, Z. (PI); Butte, A. (PI); Camarillo, D. (PI); Carter, D. (PI); Chang, H. (PI); Chaudhuri, O. (PI); Cheng, C. (PI); Chichilnisky, E. (PI); Cochran, J. (PI); Contag, C. (PI); Covert, M. (PI); Dabiri, J. (PI); Dahl, J. (PI); Deisseroth, K. (PI); Delp, S. (PI); Demirci, U. (PI); Elias, J. (PI); Endy, D. (PI); Engleman, E. (PI); Etkin, A. (PI); Fahrig, R. (PI); Feinstein, J. (PI); Feng, L. (PI); Fire, A. (PI); Fischbach, M. (PI); Fordyce, P. (PI); Gambhir, S. (PI); Ganguli, S. (PI); Garcia, C. (PI); Glenn, J. (PI); Glover, G. (PI); Gold, G. (PI); Goodman, S. (PI); Graves, E. (PI); Greenleaf, W. (PI); Hargreaves, B. (PI); Heilshorn, S. (PI); Huang, K. (PI); Huang, P. (PI); Khuri-Yakub, B. (PI); Kim, P. (PI); Kovacs, G. (PI); Krummel, T. (PI); Kuhl, E. (PI); Lee, J. (PI); Levenston, M. (PI); Levin, C. (PI); Lin, M. (PI); Liphardt, J. (PI); Longaker, M. (PI); Montgomery, S. (PI); Moore, T. (PI); Nishimura, D. (PI); Nuyujukian, P. (PI); Okamura, A. (PI); Pauly, J. (PI); Pauly, K. (PI); Pelc, N. (PI); Plevritis, S. (PI); Prakash, M. (PI); Pruitt, B. (PI); Qi, S. (PI); Quake, S. (PI); Rando, T. (PI); Raymond, J. (PI); Reijo Pera, R. (PI); Relman, D. (PI); Riedel-Kruse, I. (PI); Rose, J. (PI); Sanger, T. (PI); Sapolsky, R. (PI); Sattely, E. (PI); Schnitzer, M. (PI); Scott, M. (PI); Shenoy, K. (PI); Smolke, C. (PI); Soh, H. (PI); Spielman, D. (PI); Swartz, J. (PI); Taylor, C. (PI); Theriot, J. (PI); Wang, B. (PI); Wang, P. (PI); Weissman, I. (PI); Wernig, M. (PI); Woo, J. (PI); Wu, J. (PI); Xing, L. (PI); Yang, F. (PI); Yock, P. (PI); Zenios, S. (PI)

BIOE 802: TGR Dissertation

(Staff)
Terms: Aut, Win, Spr, Sum | Units: 0 | Repeatable for credit | Grading: TGR
Instructors: ; Airan, R. (PI); Alizadeh, A. (PI); Altman, R. (PI); Andriacchi, T. (PI); Appel, E. (PI); Baker, J. (PI); Bammer, R. (PI); Bao, Z. (PI); Barron, A. (PI); Batzoglou, S. (PI); Bertozzi, C. (PI); Bintu, L. (PI); Boahen, K. (PI); Bowden, A. (PI); Bryant, Z. (PI); Butte, A. (PI); Camarillo, D. (PI); Carter, D. (PI); Chang, H. (PI); Chaudhuri, O. (PI); Cheng, C. (PI); Chichilnisky, E. (PI); Chiu, W. (PI); Cochran, J. (PI); Contag, C. (PI); Covert, M. (PI); Curtis, C. (PI); Dabiri, J. (PI); Dahl, J. (PI); Deisseroth, K. (PI); Delp, S. (PI); Demirci, U. (PI); Elias, J. (PI); Endy, D. (PI); Engleman, E. (PI); Etkin, A. (PI); Fahrig, R. (PI); Feinstein, J. (PI); Feng, L. (PI); Fire, A. (PI); Fischbach, M. (PI); Fordyce, P. (PI); Gambhir, S. (PI); Ganguli, S. (PI); Garcia, C. (PI); Glenn, J. (PI); Glover, G. (PI); Gold, G. (PI); Goodman, S. (PI); Graves, E. (PI); Greenleaf, W. (PI); Hargreaves, B. (PI); Heilshorn, S. (PI); Huang, K. (PI); Huang, P. (PI); Ingelsson, E. (PI); Jarosz, D. (PI); Khuri-Yakub, B. (PI); Kim, P. (PI); Kovacs, G. (PI); Krummel, T. (PI); Kuhl, E. (PI); Lee, J. (PI); Leskovec, J. (PI); Levenston, M. (PI); Levin, C. (PI); Lin, M. (PI); Liphardt, J. (PI); Longaker, M. (PI); Marsden, A. (PI); Montgomery, S. (PI); Moore, T. (PI); Nishimura, D. (PI); Nolan, G. (PI); Nuyujukian, P. (PI); Okamura, A. (PI); Pauly, J. (PI); Pauly, K. (PI); Pelc, N. (PI); Plevritis, S. (PI); Prakash, M. (PI); Pruitt, B. (PI); Qi, S. (PI); Quake, S. (PI); Rando, T. (PI); Raymond, J. (PI); Reijo Pera, R. (PI); Relman, D. (PI); Riedel-Kruse, I. (PI); Rose, J. (PI); Sanger, T. (PI); Sapolsky, R. (PI); Sattely, E. (PI); Schnitzer, M. (PI); Scott, M. (PI); Shenoy, K. (PI); Smolke, C. (PI); Soh, H. (PI); Soltesz, I. (PI); Sonnenburg, J. (PI); Spielman, D. (PI); Sunwoo, J. (PI); Swartz, J. (PI); Taylor, C. (PI); Theriot, J. (PI); Wall, D. (PI); Wang, B. (PI); Wang, P. (PI); Wang, S. (PI); Weissman, I. (PI); Wernig, M. (PI); Woo, J. (PI); Wu, J. (PI); Wyss-Coray, T. (PI); Xing, L. (PI); Yang, F. (PI); Yock, P. (PI); Zarins, C. (PI); Zeineh, M. (PI); Zenios, S. (PI)
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