2019-2020 2020-2021 2021-2022 2022-2023 2023-2024
Browse
by subject...
    Schedule
view...
 

1 - 10 of 18 results for: BIOS

BIOS 216: The Practice of Reproducible Research

The course will focus on computational approaches to ensure that all data, code, and analyses can be captured in a reproducible workflow, to be confirmed and replicated by you in the future, by other members of your team, and by reviewers and other researchers. We will cover how to satisfy FAIR principles, version control, how to create a git repository, utilize Github and how to create a reproducible dataset. Prerequisites: Basic knowledge of R. Recommended (not required): EPI 202 or 261/262, STATS 60, or MS&E 125.
Terms: Win | Units: 2
Instructors: Goodman, S. (PI)

BIOS 219: Early Development Strategies for Neutralizing Antibodies and Brain Permeable Small Molecules

This course will provide students with an overview of current technologies related to the development of small molecules and neutralizing antibodies. Delivered via classroom instruction and a workshop, these modules will aim to increase the fundamental understanding of drug development terminology and processes, combined with real-world examples of discovery therapeutics and technologies developed for translation to clinic. Emphasis will be made on the development of small molecules that can cross the blood-brain barrier and show potential for translation in clinic. Focus will also be put on the screening of antibody targets followed by target validation, target profile development and preclinical evaluation. The workshop will focus on computational molecular docking which is an excellent tool that will help reduce the attrition rate during the drug development process and lead identification studies. Active engagement of the students during the workshop is expected based on the need to install specific software and completion of assigned tasks (computational docking). Students are expected to bring personal laptops to class on day 1 and 2 to perform docking exercises.
Terms: Aut, Win | Units: 1

BIOS 223: Development and reporting of robust and reproducible LC-MS/MS assays

This mini-course offers a series of lectures and hands-on labs to discuss the development and reporting of reproducible quantitative LC-MS/MS molecular assays using a triple quadrupole. We will discuss chromatography and mobile phase selection, mass spectrometry parameters and selection of fragment ions, and the reporting and interpretation of published methods. Additionally we will cover the use of internal standards and sample preparation, and normalization methods for reproducible data analysis. Students will have the opportunity to work with a mass spectrometer and will design a cohesive plan for a targeted assay of an example molecule in their research.
Terms: Aut, Win | Units: 1

BIOS 224: Stem Cell Biology and Applications

A variety of stem cells harbor different properties appropriate for various types of research. We will cover the molecular characteristics of totipotent, pluripotent, multipotent, and unipotent stem cells. This knowledge will form the foundation for us to explore the use of stem cells in developmental biology and translation research. As an application, we will focus on genome editing technologies and in vitro models of cardiovascular disease.
Terms: Win | Units: 2

BIOS 226: Web3, AI, and Digital Health

This interdisciplinary course explores the convergence of Web3 technologies, artificial intelligence (AI), and their transformative impact on the field of digital health. Students will examine the potential of decentralized systems, blockchain, and smart contracts to enhance health data privacy, security, and interoperability. Through case studies and hands-on projects, they will gain insights into AI-driven solutions for personalized healthcare, remote patient monitoring, medical image analysis, and clinical decision support. Additionally, students will critically analyze ethical and regulatory considerations in the context of Web3 and AI applications, fostering a deeper understanding of the future of digital health innovation.
Terms: Win, Sum | Units: 1

BIOS 227: Mass Spectrometry and Proteomics: Opening the Black Box

Focus on designing and analyzing effective proteomics experiments using mass spectrometry and critically evaluating published mass spectrometry-based studies and datasets. Introduces students to the instrumentation, experimental strategies, and computational methods used for identifying and quantifying proteins and protein post-translational modifications using mass spectrometry. Topics include comparative evaluation of mass spectrometer instrument configurations, tandem mass spectrum interpretation, relative and absolute quantitation, and proteome-scale data set analysis. Laboratory time will focus on sample preparation methods, real-time data acquisition, and data analysis software and techniques. Note: Students should sign up for the morning lecture and one of two lab sections in the afternoon.
Terms: Win | Units: 2

BIOS 231: Public Speaking Bootcamp: How to Give a Stronger Presentation

Everyone has fears presenting in front of a crowd. But with practice, self-awareness and preparation you can put those fears aside and make a real impact with your message. Utilizing professional theater practices and tricks, this course is a deep dive into what makes a presentation work. Get a chance to explore your own presentation style and address your questions and challenges with public speaking in a safe and fun space. The course is taught by Michileen Marie Oberst, a Professional director and actor in the Bay Area whose background includes teaching at the Tony Award winning TheatreWorks Silicon Valley.
Terms: Win | Units: 1 | Repeatable 2 times (up to 2 units total)

BIOS 237: Engineering Wellness

This 3-week course will help students understand how lifestyle and wellness choices impact physiology using a data-driven approach powered by wearable technology. Each student will be given an Oura ring to use during the course. On Mondays and Wednesdays, we will learn evidence-based practices for mental health and well-being, and on Fridays engineers from Oura, Apple, and Fitbit will teach the students about wearable data sensors and analysis. Students will assess their own smartwatch data to look at real-time physiological responses to wellness interventions such as exercise, awareness meditation, laughter yoga, and inquiry-based stress reduction. This course will bring in academic experts and popular wellness leaders. Last year's teachers included Byron Katie, Deepak Chopra, MD, Madan Kataria, MD the founder of Laughter Yoga, Michael Snyder, PhD, James Doty, PhD, Lindsay Briner, and George Slavich, PhD, to learn about cutting edge research and innovation in mental health, and to exp more »
This 3-week course will help students understand how lifestyle and wellness choices impact physiology using a data-driven approach powered by wearable technology. Each student will be given an Oura ring to use during the course. On Mondays and Wednesdays, we will learn evidence-based practices for mental health and well-being, and on Fridays engineers from Oura, Apple, and Fitbit will teach the students about wearable data sensors and analysis. Students will assess their own smartwatch data to look at real-time physiological responses to wellness interventions such as exercise, awareness meditation, laughter yoga, and inquiry-based stress reduction. This course will bring in academic experts and popular wellness leaders. Last year's teachers included Byron Katie, Deepak Chopra, MD, Madan Kataria, MD the founder of Laughter Yoga, Michael Snyder, PhD, James Doty, PhD, Lindsay Briner, and George Slavich, PhD, to learn about cutting edge research and innovation in mental health, and to experience these practices firsthand through immersive workshops. The capstone project of the course will involve analyzing your own personal wearable device data to quantify the physiological impact of BIOS 237. Due to the high demand for this unique three-week course, we are accepting students on a first-come, first-served basis. Complete and confirm the form promptly to secure your spot: https://forms.gle/TRMRJJ1qHA8MypF79 Learn more at engineeringwellness.stanford.edu.
Terms: Aut, Win | Units: 2 | Repeatable 2 times (up to 4 units total)

BIOS 243: An Excuse to Sleep: The Science of Sleep and Health

This mini-course will explore the ¿What¿ and ¿Why¿ of sleep, with emphasis on the role of sleep in human health and wellbeing. Sleep is universal in Nature, but there is still no consensus on its function. Over 3 weeks, students will study the foundations of sleep science through a combination of lecture and discussion of published research articles. The course will approach the topic of sleep and health from multiple levels¿ brain, body, mind, and society. Topics will include: sleep and circadian physiology, sleep science methodologies, functions of sleep, and the impact of social factors on sleep health.
Terms: Win | Units: 1
Instructors: Krause, A. (PI)

BIOS 247: Whole-genome sequencing and applications: from yeast to fruit flies

Analyzing Illumina whole-genome sequencing data is an integral part of many fields of biology research, but finding and implementing a computational pipeline can be difficult for newcomers. We will provide experimental evolution data generated from our studies of yeast and fruit flies. Students will learn to process raw sequencing data, determine mutations, and plot results, including Manhattan plots. Prerequisite: some experience/background in molecular biology.
Terms: Win | Units: 2
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