Machine Learning in Medicine

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
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	Lessons on the Path from Code to Clinic Recording of presentation	Martin Seneviratne	Google Health
November 17, 2021 Wednesday 3:00 PM - 4:00 PM EST	Prediction and Causation in EHRs Recording of presentation	David Page	Duke
December 1, 2021 Wednesday 3:00 PM - 4:00 PM EST	Towards Trustworthy Machine Learning in Medicine Recording of presentation	Katherine Heller	Google Research
December 15, 2021 Wednesday 3:00 PM - 4:00 PM EST	Deep Imaging-Genetics to Parse Neuropsychiatric Disorders Recording of presentation	Archana Venkataraman	Johns Hopkins