Fall 2020 | Spring 2021

Medicine is complex and data-driven and discovery and decision making are increasingly enabled by machine learning. Machine learning has the potential to support, enable and improve medical discovery and clinical decision making in areas such as medical imaging, cancer diagnostics, precision medicine, clinical trials, and electronic health records. This seminar series focuses on new algorithms, real-world deployment, and future trends in machine learning in medicine. It will feature prominent investigators who are developing and applying machine learning to biomedical discovery and in clinical decision support.

Date Topic Speaker Institution
January 20, 2021
Wednesday
3:00 PM - 4:00 PM EDT
A Collaborative Computer Aided Diagnosis (C-CAD) System with Eye-Tracking, Sparse Attentional Model, and Deep Learning

Recording of presentation (password required)
Ulas Bagci Univ of Central Florida
February 3, 2021
Wednesday
3:00 PM - 4:00 PM EDT
Towards Using Batch Reinforcement Learning to Identify Treatment Options in Healthcare

Recording of presentation (password required)
Finale Doshi-Velez Harvard
February 17, 2021
Wednesday
3:00 PM - 4:00 PM EDT
Graph Learning for Genomics and Neuroscience

Canceled, due to ongoing loss of electric power in Texas.
Genevera Allen Rice Univ
March 3, 2021
Wednesday
3:00 PM - 4:00 PM EDT
TBD James Zou Stanford
March 17, 2021
Wednesday
3:00 PM - 4:00 PM EST
TBD Ben Glocker Imperial College London
March 31, 2021
Wednesday
3:00 PM - 4:00 PM EST
TBD Daryush Mehta Harvard
April 14, 2021
Wednesday
3:00 PM - 4:00 PM EST
TBD Karsten Borgwardt ETH Zurich
April 28, 2021
Wednesday
3:00 PM - 4:00 PM EST
TBD Tal Arbel McGill Univ
May 12, 2021
Wednesday
3:00 PM - 4:00 PM EST
TBD Henning Muller HES-SO Valais-Wallis
May 26, 2021
Wednesday
3:00 PM - 4:00 PM EST
TBD Sherri Rose Stanford
June 9, 2021
Wednesday
3:00 PM - 4:00 PM EST
TBD Stephen Aylward Kitware