Welcome and Keynote Session: What are the opportunities and challenges for ML in genomics research?

April 13-14, 2021 - The NHGRI Genomic Data Science Working Group hosted 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

---------------
Welcome
---------------
Co-chairs:
Trey Ideker, Ph.D., University of California San Diego
Mark Craven, Ph.D., University of Wisconsin

Speaker:
Eric Green, M.D., Ph.D., Director, National Human Genome Research Institute

--------------
Keynote:
--------------

Moderator:
Shannon McWeeney, Ph.D., Oregon Health and Sciences University

Presenters:
Eric Topol, M.D., Scripps Research
Brad Malin, Ph.D., Vanderbilt University Medical Center

Chapters:
0:00 - Start
0:09 - Welcome (Mark Craven)
0:52 - Welcome (Trey Ideker)
1:28 - Opening Remarks (Eric Green)
9:41 - Keynote Presentation (Eric Topol)
34:54 - Keynote Presentation (Brad Malin)
59:00 - Q&A Session with Shannon McWeeney, Eric Topol and Brad Malin

Видео Welcome and Keynote Session: What are the opportunities and challenges for ML in genomics research? канала National Human Genome Research Institute