# Genomic Medicine

- Institution: Massachusetts Institute of Technology
- Department: Health Sciences and Technology
- Teacher: Prof. Isaac Kohane
- Term: Spring 2004
- Level: Graduate
- Language: English
- Subjects: Biology, Medicine and health
- Source: [MIT OpenCourseWare](https://ocw.mit.edu/courses/hst-512-genomic-medicine-spring-2004/)
- Licence: [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) (Non-commercial use only.)
- Syllabus: [at the source](https://ocw.mit.edu/courses/hst-512-genomic-medicine-spring-2004/pages/syllabus/)
- Readings: [at the source](https://ocw.mit.edu/courses/hst-512-genomic-medicine-spring-2004/pages/readings/)
- Who can watch: Teens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

This course reviews the key genomic technologies and computational approaches that are driving advances in prognostics, diagnostics, and treatment. Throughout the semester, emphasis will return to issues surrounding the context of genomics in medicine including: what does a physician need to know? what sorts of questions will s/he likely encounter from patients? how should s/he respond? Lecturers will guide the student through real world patient-doctor interactions. Outcome considerations and socioeconomic implications of personalized medicine are also discussed. The first part of the course introduces key basic concepts of molecular biology, computational biology, and genomics. Continuing in the informatics applications portion of the course, lecturers begin each lecture block with a scenario, in order to set the stage and engage the student by showing: why is this important to know? how will the information presented be brought to bear on medical practice? The final section presents the ethical, legal, and social issues surrounding genomic medicine. A vision of how genomic medicine relates to preventative care and public health is presented in a discussion forum with the students where the following questions are explored: what is your level of preparedness now? what challenges must be met by the healthcare industry to get to where it needs to be?

Lecturers

Dr. Atul J. Butte

Dr. Steven A. Greenberg

Dr. Alvin Thong-Juak Kho

Dr. Peter Park

Dr. Marco F. Ramoni

Dr. Alberto A. Riva

Dr. Zoltan Szallasi

Dr. Jeffrey Mark Drazen

Dr. Todd Golub

Dr. Joel Hirschhorn

Dr. Greg Tucker-Kellogg

Dr. Scott Weiss

## Lectures

1. [Lecture 1: Genomic Introduction](https://invisiblenetwork.ai/learn/mit/hst-512-genomic-medicine-spring-2004/9fa3e839b481) (Video)
2. [Lecture 2: Introduction to Biology and Genomic Measurement](https://invisiblenetwork.ai/learn/mit/hst-512-genomic-medicine-spring-2004/e92793a9aeaa) (Video)
3. [Lecture 3: Measurement Techniques](https://invisiblenetwork.ai/learn/mit/hst-512-genomic-medicine-spring-2004/36e358b3cc3d) (Video)
4. [Lecture 4: Microarray - Massively Parallel Measurement](https://invisiblenetwork.ai/learn/mit/hst-512-genomic-medicine-spring-2004/3c0103b37f62) (Video)
5. [Lecture 5: Limits of Technologies](https://invisiblenetwork.ai/learn/mit/hst-512-genomic-medicine-spring-2004/42711b068769) (Video)
6. [Lecture 6: Information Science at the Center of Genomic Medicine](https://invisiblenetwork.ai/learn/mit/hst-512-genomic-medicine-spring-2004/68fa1972fd24) (Video)
7. [Lecture 7: Informational Resources](https://invisiblenetwork.ai/learn/mit/hst-512-genomic-medicine-spring-2004/a1c29e8b3595) (Video)
8. [Lecture 8: Complex Traits: What to Believe](https://invisiblenetwork.ai/learn/mit/hst-512-genomic-medicine-spring-2004/30df31d8be4b) (Video)
9. [Lecture 9: Machine-learning Approach](https://invisiblenetwork.ai/learn/mit/hst-512-genomic-medicine-spring-2004/e8a5ac069feb) (Video)
10. [Lecture 10: Association with Markers](https://invisiblenetwork.ai/learn/mit/hst-512-genomic-medicine-spring-2004/584c20279390) (Video)
11. [Lecture 11: The Importance of Data Representation](https://invisiblenetwork.ai/learn/mit/hst-512-genomic-medicine-spring-2004/f2fc287b5f91) (Video)
12. [Lecture 12: Pharmacogenomics](https://invisiblenetwork.ai/learn/mit/hst-512-genomic-medicine-spring-2004/7702d75a2475) (Video)
13. [Lecture 13: Case Hx: Complex Traits](https://invisiblenetwork.ai/learn/mit/hst-512-genomic-medicine-spring-2004/075883557d70) (Video)
14. [Lecture 15: Microarray Disease Classification](https://invisiblenetwork.ai/learn/mit/hst-512-genomic-medicine-spring-2004/2f37dfbbd9f7) (Video)
15. [Lecture 16: Microarray Disease Classification II](https://invisiblenetwork.ai/learn/mit/hst-512-genomic-medicine-spring-2004/8b3636b57278) (Video)
16. [Lecture 17: Direct Prediction of Outcome / Mortality](https://invisiblenetwork.ai/learn/mit/hst-512-genomic-medicine-spring-2004/d113cecdb482) (Video)
17. [Lecture 18: Case Hx: Cancer Diagnostics](https://invisiblenetwork.ai/learn/mit/hst-512-genomic-medicine-spring-2004/d7a0d2954132) (Video)
18. [Lecture 19: Modeling and Reverse Engineering](https://invisiblenetwork.ai/learn/mit/hst-512-genomic-medicine-spring-2004/adba1da2b0da) (Video)
19. [Lecture 20: Practical Genomic Medicine](https://invisiblenetwork.ai/learn/mit/hst-512-genomic-medicine-spring-2004/d423b318940f) (Video)