Session 4: Machine learning in clinical genomics (and Day 2 Wrap-Up)
Channel: National Human Genome Research Institute
Date: 2021-04-21

April 13-14, 2021 - The NHGRI Genomic Data Science Working Group hosts Machine Learning in Genomics: Tools, Resources, Clinical Applications and Ethics. This virtual workshop highlights the opportunities and obstacles that occur when applying machine learning methods to basic genome sciences and genomic medicine.

Workshop Agenda: https://www.genome.gov/event-calendar/Machine-Learning-in-Genomics-Tools-Resources-Clinical-Applications-and-Ethics

Moderators:
Casey Overby Taylor, Ph.D., Johns Hopkins University
Eric Boerwinkle, Ph.D., University of Texas Health Science Center

Presenters:
Su-In Lee, Ph.D., University of Washington
Sriram Sankararaman, Ph.D., University of California Los Angeles
Russ Altman, M.D., Ph.D., Stanford University

Chapters:
0:00 - Start
1:08 - Presentation (Su-In Lee)
22:40 - Q&A with Su-In Lee
27:47 - Presentation (Sriram Sankararaman)
47:51 - Q&A with Sriram Sankararaman
50:28 - Presentation (Russ Altman)
1:10:33 - Q&A with Russ Altman
1:18:11 - General Q&A with Casey Overby Taylor/Eric Boerwinkle, Su-In Lee, Sriram Sankararaman, Russ Altman
1:43:20 - Day 2 Wrap-Up