2020 Fall | 2021 Spring | 2021 Fall | 2022 Spring | 2022 Fall | 2023 Spring | 2023 Fall | 2024 Spring

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
September 8, 2023
Friday
2:00 PM - 3:00 PM EDT
Hosted by UofT
Machine Learning for Single-Cell Regulatory Program Inference

Recording of presentation
Hatice U. Osmanbeyoglu University of Pittsburgh
September 22, 2023
Friday
2:00 PM - 3:00 PM EDT
Hosted by BU
Generalizable Machine Learning for Large-Scale Analysis of Clinical and Portable Brain MRI in the Wild

Recording of presentation
Juan Eugenio Iglesias Harvard University
October 6, 2023
Friday
2:00 PM - 3:00 PM EDT
Hosted by Pitt/UPMC
AI for Generating Real-World Evidence in Cancer

(No recording)
Amber Simpson Queen's University
October 20, 2023
Friday
2:00 PM - 3:00 PM EDT
Hosted by UofT
Marching towards Clinical AI in Digital Pathology: Perspectives from an Academic and former Commercial Algorithm Developer

(No recording)
April Khademi Toronto Metropolitan University
November 3, 2023
Friday
2:00 PM - 3:00 PM EDT
Hosted by Pitt/UPMC
Big Data, Big Bias, Bad AI

Recording of presentation
Leo Anthony Celi Harvard University
November 17, 2023
Friday
2:00 PM - 3:00 PM EST
Hosted by UofT
Foundation Models for Biomedical AI

(No recording)
Shekoofeh Azizi Google DeepMind
December 1, 2023
Friday
2:00 PM - 3:00 PM EST
Hosted by BU
No seminar (canceled)
December 8, 2023
Friday
2:00 PM - 3:00 PM EST
Hosted by BU
Wearable Acoustic and Vibration Sensing and Machine Learning for Human Health and Performance

Recording of presentation
Omer Inan Georgia Institute of Technology