Machine Learning in Medicine

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