Please join the Eric and Wendy Schmidt Center on Thursday, June 3rd at 9AM - 12pm EDT, for a discussion around the biggest questions driving machine learning in clinical medicine and biology, with keynotes from Mihaela van der Schaar, Director of Cambridge Centre for AI in Medicine, and Ravi Thadhani, Chief Academic Officer of Mass General Brigham, as well as Plenary Sessions led by Schmidt Center co-Directors Anthony Philippakis and Caroline Uhler.
Please register here!
The morning symposium is open to all who have registered.
|(all times EDT)|
|9:00 – 9:20 am||Introduction and overview of EWSC|
|9:20 – 10:05 am||
Plenary/Panel Discussion 1
How do we better identify patients who will not only develop common diseases, but also respond to therapies?
Proposal: Anthony Philippakis (co-Director Schmidt Center) Moderator: Vineeta Agarwala (a16z)
Panelists: Amy Abernethy (former FDA), David Altshuler (Vertex), Harlan Krumholz (Yale), Collin Stultz (MIT/MGH)
|10:00 – 10:50 am||
Plenary/Panel Discussion 2
Large-scale perturbational screens - challenges and opportunities for ML
Proposal: Caroline Uhler (co-Director Schmidt Center) Moderator: Alex Wiltschko (Google Research)
Panelists: Elana Fertig (Johns Hopkins), Ernest Fraenkel (MIT), Marzyeh Ghassemi (University of Toronto), David Sontag (MIT)
|11:00 – 11:30 am||
How we setup ML for clinical medicine at Cambridge/Turing: Mihaela van der Schaar (Cambridge)
Moderator: Puneet Batra (Broad)
|11:30 – 12:00 am||
Academic medical centers as drivers of innovation: Ravi Thadhani (MGB)
Moderator: Steven Lubitz (MGH/Broad)
Following the morning session, we will host a clinical deep dive and ML working group hosted by:
UC San Diego