Fall 2020 | Spring 2021 | Fall 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
August 25, 2021
Wednesday
3:00 PM - 4:00 PM EDT
Deciphering the Dynamics of the Unconscious Brain Under General Anesthesia

Recording of presentation
Emery Brown MIT
September 8, 2021
Wednesday
3:00 PM - 4:00 PM EDT
Predictive Modeling for Self-Tracking Apps: A Case Study in Menstrual Health

Recording of presentation
Noemie Elhadad Columbia University
September 22, 2021
Wednesday
3:00 PM - 4:00 PM EDT
Data-Efficient and Multimodal Computational Pathology

Recording of presentation
Faisal Mahmood Harvard University
October 6, 2021
Wednesday
3:00 PM - 4:00 PM EDT
Deep Learning for Drug Discovery and Development

Recording of presentation
Jimeng Sun UIUC
October 20, 2021
Wednesday
3:00 PM - 4:00 PM EDT
Addressing Generalizability, Robustness and Equity Synergistically in Machine Learning Risk Prediction Models

Recording of presentation
Rumi Chunara NYU
November 3, 2021
Wednesday
3:00 PM - 4:00 PM EDT
TBA

Zoom:
Alan Karthikesalingam DeepMind
November 17, 2021
Wednesday
3:00 PM - 4:00 PM EST
TBA

Zoom:
David Page Duke
December 1, 2021
Wednesday
3:00 PM - 4:00 PM EST
TBA

Zoom:
Katherine Heller Duke / Google
December 15, 2021
Wednesday
3:00 PM - 4:00 PM EST
TBA

Zoom:
Archana Venkataraman Johns Hopkins