Machine Learning in Medicine

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