April 8, 2022

Join us for a live webinar

Friday Night AI:

“Faster than COVID – can AI predict a disease’s next move?“
Free and open to the public

Invited speaker: Prof. Jenna Wiens and Prof. Karandeep Singh
Organizer: Michigan AI Lab, in collaboration with the Ann Arbor District Library
Moderator: Prof. Rada Mihalcea
When: April 8, at 7:00 pm
Where: Zoom webinar with live streaming on the AADL YouTube channel

Over the past two years, we have witnessed how the spread of a virus can result in a world-wide pandemic, and how rapid mutations of the virus can lead to periodical spikes and challenge even the most advanced healthcare systems. While hopes are now high that the pandemic will slow down, what have we learned on how AI can help us predict a disease’s next move? 

Join us to learn more about a computational model now in use at Michigan Medicine that can help clinicians anticipate fast-changing patient needs. Called M-CURES and developed by a team of computer science, industrial operations and engineering and health care researchers, the model uses a machine-learning algorithm to predict which patients are at greatest risk of developing severe illness. Internal and external validation of M-CURES has shown it to be effective in predicting the progression of the disease across 12+ hospital centers and patient subgroups.

About the speakers:

Jenna Wiens is an Associate Professor of Computer Science and Engineering (CSE), Associate Director of the AI Lab, and co-Director of Precision Health at the University of Michigan in Ann Arbor. Her primary research interests lie at the intersection of machine learning and healthcare. Wiens received her PhD from MIT in 2014,  was named to the MIT Tech Review’s list of Innovators Under 35 in 2017, and recently was awarded a Sloan Research Fellowship in Computer Science. 

Karandeep Singh is an Assistant Professor of Learning Health Sciences, Internal Medicine, Urology, and Information at the University of Michigan. He directs the Machine Learning for Learning Health Systems (ML4LHS) Lab. His recent work focuses on studying the implementation of machine learning algorithms within health systems. 

Prof. Rada Mihalcea, Director Michigan AI, will moderate the discussion.

No registration is required. Check this webpage 15 minutes before the event for the Zoom link and phone number.

If you want to be notified when the event link becomes available, use this form to include your email .