Opportunities and Challenges for ML in Genomics Research

Explore the opportunities and challenges of machine learning in genomics research through this keynote session from the NHGRI Genomic Data Science Working Group's virtual workshop. Gain insights from leading experts as they discuss the application of machine learning methods to basic genome sciences and genomic medicine. Listen to opening remarks by NHGRI Director Eric Green, followed by keynote presentations from Eric Topol of Scripps Research and Brad Malin of Vanderbilt University Medical Center. Participate in a Q&A session moderated by Shannon McWeeney, addressing key topics in the intersection of machine learning and genomics. Discover the latest developments, tools, resources, clinical applications, and ethical considerations in this rapidly evolving field.

- Start
- Welcome Mark Craven
- Welcome Trey Ideker
- Opening Remarks Eric Green
- Keynote Presentation Eric Topol
- Keynote Presentation Brad Malin
- Q&A Session with Shannon McWeeney, Eric Topol and Brad Malin